A Scalable Design of a Full-Stack Real-Time OFDM Baseband Processor for Network-Enabled VLC Systems - Trio Adiono; Erwin Setiawan; Michael Jonathan; Rahmat Mulyawan; Nana Sutisna; Infall Syafalni; Wasiu O. Popoola (IEEE Access, 2024)

Low-Cost Thermal-Infrared 'THz-Torch' Spectroscopy - Saleh Komies; Jingye Sun; Chris Hodges; Stephen A. Lynch; Jonathan S. Watson; Stepan Lucyszyn (IEEE Access, 2024)

Intelligent Integrated Circuits and Systems for 5G/6G Telecommunications - Johannes Wynand Lambrechts; Saurabh Sinha; Kaushik Sengupta; Abadahigwa Bimana; Suvarna Kadam; Sheetal Bhandari; Jaco du Preez; Zijian Shao; Xiaolong Huang; Zheng Liu; Emir Ali Karahan; Tyler Blundo; et al. (IEEE Access, 2024)

Improved climate time series forecasts by machine learning and statistical models coupled with signature method: A case study with El Niño - Jonathan Derot; Nozomi Sugiura; Sangyeob Kim; Shinya Kouketsu (Ecol. Informatics, 2024)

Assessing racial bias in healthcare predictive models: Practical lessons from an empirical evaluation of 30-day hospital readmission models - H. Echo Wang; Jonathan P. Weiner; Suchi Saria; Harold P. Lehmann; Hadi Kharrazi (J. Biomed. Informatics, 2024)

Addition to "Scaffold Hopping and Optimization of Small Molecule Soluble Adenyl Cyclase Inhibitors Led by Free Energy Perturbation" - Shan Sun; Makoto Fushimi; Thomas Rossetti; Navpreet Kaur; Jacob Ferreira; Michael Miller; Jonathan Quast; Joop van den Heuvel; Clemens Steegborn; Lonny R. Levin; Jochen Buck; Robert W. Myers; et al. (J. Chem. Inf. Model., 2024)

Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge - Marc Aubreville; Nikolas Stathonikos; Taryn A. Donovan; Robert Klopfleisch; Jonas Ammeling; Jonathan Ganz; Frauke Wilm; Mitko Veta; Samir Jabari; Markus Eckstein; Jonas Annuscheit; Christian Krumnow; et al. (Medical Image Anal., 2024)

A framework for inferring and analyzing pharmacotherapy treatment patterns - Everett Neil Rush; Ozgur Ozmen; Minsu Kim; Erin Rush Ortegon; Makoto Jones; Byung H. Park; Steven Pizer; Jodie Trafton; Lisa A. Brenner; Merry Ward; Jonathan R. Nebeker (BMC Medical Informatics Decis. Mak., 2024)

Astrobee ISS Free-Flyer Datasets for Space Intra-Vehicular Robot Navigation Research - Suyoung Kang; Ryan Soussan; Daekyeong Lee; Brian Coltin; Andres Mora Vargas; Marina Moreira; Katie Browne; Ruben Garcia; Maria Bualat; Trey Smith; Jonathan Barlow; Jose Benavides; et al. (IEEE Robotics Autom. Lett., 2024)

An ultrawide field-of-view pinhole compound eye using hemispherical nanowire array for robot vision - Yu Zhou; Zhibo Sun; Yucheng Ding; Zhengnan Yuan; Xiao Qiu; Yang Bryan Cao; Zhu'an Wan; Zhenghao Long; Swapnadeep Poddar; Shivam Kumar; Wenhao Ye; Chak Lam Jonathan Chan; et al. (Sci. Robotics, 2024)

TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker Embeddings - Christoph Böddeker; Aswin Shanmugam Subramanian; Gordon Wichern; Reinhold Haeb-Umbach; Jonathan Le Roux (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

A Low-Noise Low-Power 0.001Hz-1kHz Neural Recording System-on-Chip With Sample-Level Duty-Cycling - Jiajia Wu; Abraham Akinin; Jonathan Somayajulu; Min Suk Lee; Akshay Paul; Hongyu Lu; Yongjae Park; Seong-Jin Kim; Patrick P. Mercier; Gert Cauwenberghs (IEEE Trans. Biomed. Circuits Syst., 2024)

Efficient Processing of MLPerf Mobile Workloads Using Digital Compute-In-Memory Macros - Xiaoyu Sun; Weidong Cao; Brian Crafton; Kerem Akarvardar; Haruki Mori; Hidehiro Fujiwara; Hiroki Noguchi; Yu-Der Chih; Meng-Fan Chang; Yih Wang; Tsung-Yung Jonathan Chang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

TCTL-Net: Template-Free Color Transfer Learning for Self-Attention Driven Underwater Image Enhancement - Kunqian Li; Hongtao Fan; Qi Qi; Chi Yan; Kun Sun; Q. M. Jonathan Wu (IEEE Trans. Circuits Syst. Video Technol., 2024)

The Art of Adversity Thinking: Political Turnover and Firm Innovation - Daxin Sun; Saixing Zeng; Yaxin Zhang; Chuang Wu; Jonathan Jingsheng Shi (IEEE Trans. Engineering Management, 2024)

Impacts of Peers' Mergers and Acquisitions on Firm Innovation - Hao Xue; Saixing Zeng; Daxin Sun; Jonathan Jingsheng Shi (IEEE Trans. Engineering Management, 2024)

The Sound Demixing Challenge 2023 - Cinematic Demixing Track - Stefan Uhlich; Giorgio Fabbro; Masato Hirano; Shusuke Takahashi; Gordon Wichern; Jonathan Le Roux; Dipam Chakraborty; Sharada Mohanty; Kai Li; Yi Luo; Jianwei Yu; Rongzhi Gu; et al. (Trans. Int. Soc. Music. Inf. Retr., 2024)

AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge - Coen de Vente; Koenraad A. Vermeer; Nicolas Jaccard; He Wang; Hongyi Sun; Firas Khader; Daniel Truhn; Temirgali Aimyshev; Yerkebulan Zhanibekuly; Tien-Dung Le; Adrian Galdran; Miguel Ángel González Ballester; et al. (IEEE Trans. Medical Imaging, 2024)

RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation - Konstantinos Bousmalis; Giulia Vezzani; Dushyant Rao; Coline Manon Devin; Alex X. Lee; Maria Bauzá Villalonga; Todor Davchev; Yuxiang Zhou; Agrim Gupta; Akhil Raju; Antoine Laurens; Claudio Fantacci; et al. (Trans. Mach. Learn. Res., 2024)

Visual Noise Cancellation: Exploring Visual Discomfort and Opportunities for Vision Augmentations - Junlei Hong; Tobias Langlotz; Jonathan Sutton; Holger Regenbrecht (ACM Trans. Comput. Hum. Interact., 2024)

HoloCamera: Advanced Volumetric Capture for Cinematic-Quality VR Applications - Jonathan Heagerty; Sida Li; Eric Lee; Shuvra S. Bhattacharyya; Sujal Bista; Barbara Brawn; Brandon Y. Feng; Susmija Jabbireddy; Joseph F. JáJá; Hernisa Kacorri; David Li; Derek Yarnell; et al. (IEEE Trans. Vis. Comput. Graph., 2024)

Partial-View Object View Synthesis via Filtering Inversion - Fan-Yun Sun; Jonathan Tremblay; Valts Blukis; Kevin Lin; Danfei Xu; Boris Ivanovic; Péter Karkus; Stan Birchfield; Dieter Fox; Ruohan Zhang; Yunzhu Li; Jiajun Wu; et al. (International Conference on 3D Vision, 3DV 2024, Davos, Switzerland, March 18-21, 2024, 2024)

Value-based Resource Matching with Fairness Criteria: Application to Agricultural Water Trading - Abhijin Adiga; Yohai Trabelsi; Tanvir Ferdousi; Madhav V. Marathe; S. S. Ravi; Samarth Swarup; Anil Kumar S. Vullikanti; Mandy L. Wilson; Sarit Kraus; Reetwika Basu; Supriya Savalkar; Matthew Yourek; et al. (Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2024, Auckland, New Zealand, May 6-10, 2024, 2024)

A Design Space for Vision Augmentations and Augmented Human Perception using Digital Eyewear - Tobias Langlotz; Jonathan Sutton; Holger Regenbrecht (Proceedings of the CHI Conference on Human Factors in Computing Systems, CHI 2024, Honolulu, HI, USA, May 11-16, 2024, 2024)

Flicker Augmentations: Rapid Brightness Modulation for Real-World Visual Guidance using Augmented Reality - Jonathan Sutton; Tobias Langlotz; Alexander Plopski; Kasper Hornbæk (Proceedings of the CHI Conference on Human Factors in Computing Systems, CHI 2024, Honolulu, HI, USA, May 11-16, 2024, 2024)

Tactical Orchestration : Network, Security, and Drone Intelligence for Mission-Critical Operations - Jani Suomalainen; Kimmo Ahola; Mirko Sailio; Gabor Kiss; Gabor Megyaszai; Rizwan Asif; Petri Jehkonen; Jonathan Rivalan (Joint European Conference on Networks and Communications & 6G Summit, EuCNC/6G Summit 2024, Antwerp, Belgium, June 3-6, 2024, 2024)

CAVA: Cognitive Aid for Vulnerability Analysis - Evelyn Kim; Sunny Fugate; Christian Lebiere; Aidan Barbieux; Jonathan Buch; Jaehoon Cho; Edward A. Cranford; Joseph DiVita; Jeremy Johnson; Mia Levy; Froylan Maldonado; Brianna Marsh; et al. (57th Hawaii International Conference on System Sciences, HICSS 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024, 2024)

Efficient Video and Audio Processing with Loihi 2 - Sumit Bam Shrestha; Jonathan Timcheck; Edward Paxon Frady; Leobardo Campos-Macias; Mike Davies (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2024, Seoul, Republic of Korea, April 14-19, 2024, 2024)

Adversarial Imitation Learning via Boosting - Jonathan D. Chang; Dhruv Sreenivas; Yingbing Huang; Kianté Brantley; Wen Sun (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

FPGA Implementation of SFO for OFDM-based Network Enabled Li-Fi System - Trio Adiono; Erwin Setiawan; Michael Jonathan; Rahmat Mulyawan; Nana Sutisna; Infall Syafalni; Wasiu O. Popoola (IEEE International Symposium on Circuits and Systems, ISCAS 2024, Singapore, May 19-22, 2024, 2024)

Drifting with Unknown Tires: Learning Vehicle Models Online with Neural Networks and Model Predictive Control - Nan Ding; Michael Thompson; James Dallas; Jonathan Y. M. Goh; John Subosits (IEEE Intelligent Vehicles Symposium, IV 2024, Jeju Island, Republic of Korea, June 2-5, 2024, 2024)

Mathematical Model and Design Exploration of Soft Comfortable, Effective Anchoring for Wearable Assistive Technologies - Worayut Aksornukul; Richard Suphapol Diteesawat; Nahian Rahman; Jonathan Rossiter (7th IEEE International Conference on Soft Robotics, RoboSoft 2024, San Diego, CA, USA, April 14-17, 2024, 2024)

Demo: An SDN-driven Active Queue Management Architecture for Assisting Mission-Critical Traffic Flows in Industrial Automation Systems - Shuo Wang; Jonathan Kua; Jiong Jin; Jason But; Prem Prakash Jayaraman; Suresh Palanisamy (Proceedings of the ACM SIGCOMM 2024 Conference: Posters and Demos, Sydney, NSW, Australia, August 4-8, 2024, 2024)

Understanding the Leadership Structure and Mentoring Model of an Extracurricular Robotics Team: Key Findings from a Case Study - Hitender K. Oswal; Jonathan Wick; Seth Tandon; Ashley Brewster; Sushil K. Oswal (Proceedings of the 55th ACM Technical Symposium on Computer Science Education, SIGCSE 2024, Volume 2, Portland, OR, USA, March 20-23, 2024, 2024)

A Data Efficient Framework for Learning Local Heuristics - Rishi Veerapaneni; Jonathan Park; Muhammad Suhail Saleem; Maxim Likhachev (Seventeenth International Symposium on Combinatorial Search, SOCS 2024, Kananaskis, Alberta, Canada, June 6-8, 2024, 2024)

PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses - Chong Xiang; Tong Wu; Sihui Dai; Jonathan Petit; Suman Jana; Prateek Mittal (33rd USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA, USA, August 14-16, 2024, 2024)

Theoretical guarantees on the best-of-n alignment policy - Ahmad Beirami; Alekh Agarwal; Jonathan Berant; Alexander D'Amour; Jacob Eisenstein; Chirag Nagpal; Ananda Theertha Suresh (CoRR, 2024)

Digital-analog quantum learning on Rydberg atom arrays - Jonathan Z. Lu; Lucy Jiao; Kristina Wolinski; Milan Kornjaca; Hong-Ye Hu; Sergio Cantu; Fangli Liu; Susanne F. Yelin; Sheng-Tao Wang (CoRR, 2024)

TRACE: A Time-Relational Approximate Cubing Engine for Fast Data Insights - Suharsh Sivakumar; Jonathan Shen; Rajat Monga (CoRR, 2024)

Using i-vectors for subject-independent cross-session EEG transfer learning - Jonathan Lasko; Jeff Ma; Mike Nicoletti; Jonathan Sussman-Fort; Sooyoung Jeong; William Hartmann (CoRR, 2024)

SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild - Andreas Engelhardt; Amit Raj; Mark Boss; Yunzhi Zhang; Abhishek Kar; Yuanzhen Li; Deqing Sun; Ricardo Martin-Brualla; Jonathan T. Barron; Hendrik P. A. Lensch; Varun Jampani (CoRR, 2024)

Enabling clustering algorithms to detect clusters of varying densities through scale-invariant data preprocessing - Sunil Aryal; Jonathan R. Wells; Arbind Agrahari Baniya; KC Santosh (CoRR, 2024)

Sphractal: Estimating the Fractal Dimension of Surfaces Computed from Precise Atomic Coordinates via Box-Counting Algorithm - Jonathan Yik Chang Ting; Andrew Thomas Agars Wood; Amanda Susan Barnard (CoRR, 2024)

Personalizing Driver Safety Interfaces via Driver Cognitive Factors Inference - Emily S. Sumner; Jonathan A. DeCastro; Jean Costa; Deepak E. Gopinath; Everlyne Kimani; Shabnam Hakimi; Allison Morgan; Andrew Best; Hieu Nguyen; Daniel J. Brooks; Bassam ul Haq; Andrew Patrikalakis; et al. (CoRR, 2024)

Value-based Resource Matching with Fairness Criteria: Application to Agricultural Water Trading - Abhijin Adiga; Yohai Trabelsi; Tanvir Ferdousi; Madhav V. Marathe; S. S. Ravi; Samarth Swarup; Anil Kumar S. Vullikanti; Mandy L. Wilson; Sarit Kraus; Reetwika Basu; Supriya Savalkar; Matthew Yourek; et al. (CoRR, 2024)

LiRank: Industrial Large Scale Ranking Models at LinkedIn - Fedor Borisyuk; Mingzhou Zhou; Qingquan Song; Siyu Zhu; Birjodh Tiwana; Ganesh Parameswaran; Siddharth Dangi; Lars Hertel; Qiang Charles Xiao; Xiaochen Hou; Yunbo Ouyang; Aman Gupta; et al. (CoRR, 2024)

Who is driving the conversation? Analysing the nodality of British MPs and journalists on Twitter - Leonardo Castro-Gonzalez; Sukankana Chakraborty; Helen Z. Margetts; Hardik Rajpal; Daniele Guariso; Jonathan Bright (CoRR, 2024)

Experiments with Encoding Structured Data for Neural Networks - Sujay Nagesh Koujalgi; Jonathan Dodge (CoRR, 2024)

On the Role of Similarity in Detecting Masquerading Files - Jonathan Oliver; Jue Mo; Susmit Yenkar; Raghav Batta; Sekhar Josyoula (CoRR, 2024)

Surround-View Fisheye Optics in Computer Vision and Simulation: Survey and Challenges - Daniel Jakab; Brian Michael Deegan; Sushil Sharma; Eoin Martino Grua; Jonathan Horgan; Enda Ward; Pepijn van de Ven; Anthony G. Scanlan; Ciarán Eising (CoRR, 2024)

A Neuro-Symbolic Approach to Multi-Agent RL for Interpretability and Probabilistic Decision Making - Chitra Subramanian; Miao Liu; Naweed Khan; Jonathan Lenchner; Aporva Amarnath; Sarathkrishna Swaminathan; Ryan Riegel; Alexander Gray (CoRR, 2024)

Nemotron-4 15B Technical Report - Jupinder Parmar; Shrimai Prabhumoye; Joseph Jennings; Mostofa Patwary; Sandeep Subramanian; Dan Su; Chen Zhu; Deepak Narayanan; Aastha Jhunjhunwala; Ayush Dattagupta; Vibhu Jawa; Jiwei Liu; et al. (CoRR, 2024)

Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs - Jonathan W. Lee; Han Wang; Kathy Jang; Amaury Hayat; Matthew R. Bunting; Arwa Alanqary; William Barbour; Zhe Fu; Xiaoqian Gong; George Gunter; Sharon Hornstein; Abdul Rahman Kreidieh; et al. (CoRR, 2024)

Quantum Readiness in Healthcare and Public Health: Building a Quantum Literate Workforce - Jonathan B. VanGeest; Kieran J. Fogarty; William G. Hervey; Robert A Hanson; Suresh Nair; Timothy A Akers (CoRR, 2024)

RT-H: Action Hierarchies Using Language - Suneel Belkhale; Tianli Ding; Ted Xiao; Pierre Sermanet; Quon Vuong; Jonathan Tompson; Yevgen Chebotar; Debidatta Dwibedi; Dorsa Sadigh (CoRR, 2024)

Large language models surpass human experts in predicting neuroscience results - Xiaoliang Luo; Akilles Rechardt; Guangzhi Sun; Kevin K. Nejad; Felipe Yáñez; Bati Yilmaz; Kangjoo Lee; Alexandra O. Cohen; Valentina Borghesani; Anton Pashkov; Daniele Marinazzo; Jonathan Nicholas; et al. (CoRR, 2024)

Slot Abstractors: Toward Scalable Abstract Visual Reasoning - Shanka Subhra Mondal; Jonathan D. Cohen; Taylor W. Webb (CoRR, 2024)

A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling - Christophe Bonneville; Xiaolong He; April Tran; Jun Sur Richard Park; William Fries; Daniel A. Messenger; Siu Wun Cheung; Yeonjong Shin; David M. Bortz; Debojyoti Ghosh; Jiun-Shyan Chen; Jonathan L. Belof; et al. (CoRR, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset - Alexander Khazatsky; Karl Pertsch; Suraj Nair; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (CoRR, 2024)

MM3DGS SLAM: Multi-modal 3D Gaussian Splatting for SLAM Using Vision, Depth, and Inertial Measurements - Lisong C. Sun; Neel P. Bhatt; Jonathan C. Liu; Zhiwen Fan; Zhangyang Wang; Todd E. Humphreys; Ufuk Topcu (CoRR, 2024)

"Against the Void": An Interview and Survey Study on How Rust Developers Use Unsafe Code - Ian McCormack; Tomas Dougan; Sam Estep; Hanan Hibshi; Jonathan Aldrich; Joshua Sunshine (CoRR, 2024)

RL for Consistency Models: Faster Reward Guided Text-to-Image Generation - Owen Oertell; Jonathan D. Chang; Yiyi Zhang; Kianté Brantley; Wen Sun (CoRR, 2024)

A Data Efficient Framework for Learning Local Heuristics - Rishi Veerapaneni; Jonathan Park; Muhammad Suhail Saleem; Maxim Likhachev (CoRR, 2024)

Dataset Reset Policy Optimization for RLHF - Jonathan D. Chang; Wenhao Zhan; Owen Oertell; Kianté Brantley; Dipendra Misra; Jason D. Lee; Wen Sun (CoRR, 2024)

Adversarial Imitation Learning via Boosting - Jonathan D. Chang; Dhruv Sreenivas; Yingbing Huang; Kianté Brantley; Wen Sun (CoRR, 2024)

A Study of Undefined Behavior Across Foreign Function Boundaries in Rust Libraries - Ian McCormack; Joshua Sunshine; Jonathan Aldrich (CoRR, 2024)

Demystifying Legalese: An Automated Approach for Summarizing and Analyzing Overlaps in Privacy Policies and Terms of Service - Shikha Soneji; Mitchell Hoesing; Sujay Nagesh Koujalgi; Jonathan Dodge (CoRR, 2024)

REBEL: Reinforcement Learning via Regressing Relative Rewards - Zhaolin Gao; Jonathan D. Chang; Wenhao Zhan; Owen Oertell; Gokul Swamy; Kianté Brantley; Thorsten Joachims; J. Andrew Bagnell; Jason D. Lee; Wen Sun (CoRR, 2024)

Capabilities of Gemini Models in Medicine - Khaled Saab; Tao Tu; Wei-Hung Weng; Ryutaro Tanno; David Stutz; Ellery Wulczyn; Fan Zhang; Tim Strother; Chunjong Park; Elahe Vedadi; Juanma Zambrano Chaves; Szu-Yeu Hu; et al. (CoRR, 2024)

Complexity of Round-Robin Allocation with Potentially Noisy Queries - Zihan Li; Pasin Manurangsi; Jonathan Scarlett; Warut Suksompong (CoRR, 2024)

Semi-Supervised Hierarchical Multi-Label Classifier Based on Local Information - Jonathan Serrano-Pérez; Luis Enrique Sucar (CoRR, 2024)

Digital Twin Generators for Disease Modeling - Nameyeh Alam; Jake Basilico; Daniele Bertolini; Satish Casie Chetty; Heather D'Angelo; Ryan Douglas; Charles K. Fisher; Franklin Fuller; Melissa Gomes; Rishabh Gupta; Alex H. Lang; Anton Loukianov; et al. (CoRR, 2024)

Bayesian and Convolutional Networks for Hierarchical Morphological Classification of Galaxies - Jonathan Serrano-Pérez; Raquel Díaz-Hernández; Luis Enrique Sucar (CoRR, 2024)

Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows - Minjae Cho; Jonathan P. How; Chuangchuang Sun (CoRR, 2024)

Lessons from the Trenches on Reproducible Evaluation of Language Models - Stella Biderman; Hailey Schoelkopf; Lintang Sutawika; Leo Gao; Jonathan Tow; Baber Abbasi; Alham Fikri Aji; Pawan Sasanka Ammanamanchi; Sidney Black; Jordan Clive; Anthony DiPofi; Julen Etxaniz; et al. (CoRR, 2024)

An Introduction to Vision-Language Modeling - Florian Bordes; Richard Yuanzhe Pang; Anurag Ajay; Alexander C. Li; Adrien Bardes; Suzanne Petryk; Oscar Mañas; Zhiqiu Lin; Anas Mahmoud; Bargav Jayaraman; Mark Ibrahim; Melissa Hall; et al. (CoRR, 2024)

The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI - Maria Correia de Verdier; Rachit Saluja; Louis Gagnon; Dominic LaBella; Ujjwal Baid; Nourel Hoda Tahon; Martha Foltyn-Dumitru; Jikai Zhang; Maram Alafif; Saif Baig; Ken Chang; Gennaro D'Anna; et al. (CoRR, 2024)

Private Mean Estimation with Person-Level Differential Privacy - Sushant Agarwal; Gautam Kamath; Mahbod Majid; Argyris Mouzakis; Rose Silver; Jonathan R. Ullman (CoRR, 2024)

Harnessing Business and Media Insights with Large Language Models - Yujia Bao; Ankit Parag Shah; Neeru Narang; Jonathan Rivers; Rajeev Maksey; Lan Guan; Louise N. Barrere; Shelley Evenson; Rahul Basole; Connie Miao; Ankit Mehta; Fabien Boulay; et al. (CoRR, 2024)

Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning - Bahare Fatemi; Mehran Kazemi; Anton Tsitsulin; Karishma Malkan; Jinyeong Yim; John Palowitch; Sungyong Seo; Jonathan Halcrow; Bryan Perozzi (CoRR, 2024)

Nemotron-4 340B Technical Report - Bo Adler; Niket Agarwal; Ashwath Aithal; Dong H. Anh; Pallab Bhattacharya; Annika Brundyn; Jared Casper; Bryan Catanzaro; Sharon Clay; Jonathan M. Cohen; Sirshak Das; Ayush Dattagupta; et al. (CoRR, 2024)

Large-Scale Private Set Intersection in the Client-Server Setting - Yunqing Sun; Jonathan Katz; Mariana Raykova; Phillipp Schoppmann; Xiao Wang (IACR Cryptol. ePrint Arch., 2024)

An Ontology and Rule-Based Clinical Decision Support System for Personalized Nutrition Recommendations in the Neonatal Intensive Care Unit - Ravneet Kaur; Monika Jain; Ryan M. McAdams; Yao Sun; Shubham Gupta; Raghava Mutharaju; Su Jin Cho; Satish Saluja; Jonathan P. Palma; Avneet Kaur; Harpreet Singh (IEEE Access, 2023)

Practice, enactivism, and ecological psychology - Jonathan McKinney; Sune Vork Steffensen; Anthony Chemero (Adapt. Behav., 2023)

NIR\(_v\)P as a remote sensing proxy for measuring gross primary production across different biomes and climate zones: Performance and limitations - Siyuan Chen; Lichun Sui; Liangyun Liu; Xinjie Liu; Jonathan Li; Lingxiao Huang; Xing Li; Xiaojin Qian (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Next-generation phenotyping: introducing phecodeX for enhanced discovery research in medical phenomics - Megan M. Shuey; William W. Stead; Ida Aka; April L. Barnado; Lisa Bastarache; Elly Brokamp; Meredith Campbell; Robert J. Carroll; Jeffrey A. Goldstein; Adam Lewis; Beth A. Malow; Jonathan D. Mosley; et al. (Bioinform., 2023)

A comparison of feature selection methodologies and learning algorithms in the development of a DNA methylation-based telomere length estimator - Trevor Doherty; Emma Dempster; Eilis J. Hannon; Jonathan Mill; Richie Poulton; David Corcoran; Karen Sugden; Ben Williams; Avshalom Caspi; Terrie E. Moffitt; Sarah Jane Delany; Therese M. Murphy (BMC Bioinform., 2023)

Corrigendum to "Oil palm fresh fruit bunch ripeness classification on mobile devices using deep learning approaches" [Comput. Electron. Agric. 188 (2021) 106359] - Gregorius Natanael Elwirehardja; Jonathan Sebastian Prayoga; Suharjito (Comput. Electron. Agric., 2023)

Performance and limitations of a supervised deep learning approach for the histopathological Oxford Classification of glomeruli with IgA nephropathy - Nicola Altini; Michele Rossini; Sándor Turkevi-Nagy; Francesco Pesce; Paola Pontrelli; Berardino Prencipe; Francesco Berloco; Surya Seshan; Jean-Baptiste Gibier; Aníbal Pedraza Dorado; Gloria Bueno; Licia Peruzzi; et al. (Comput. Methods Programs Biomed., 2023)

Umbrella Data Management Plans to Integrate FAIR Data: Lessons From the ISIDORe and BY-COVID Consortia for Pandemic Preparedness - Romain David; Audrey S. Richard; Claire Connellan; Katharina B. Lauer; Maria Luisa Chiusano; Carole A. Goble; Martin Houde; Isabel Kemmer; Antje Keppler; Philippe Lieutaud; Christian Ohmann; Maria Panagiotopoulou; et al. (Data Sci. J., 2023)

The research foundation for COVID-19 vaccine development - Komi S. Messan; Pawel P. Sulima; Dolan Ghosh; Jonathan Nye (Frontiers Res. Metrics Anal., 2023)

Brain health scores to predict neurological outcomes from electronic health records - Marta P. B. Fernandes; Haoqi Sun; Zeina Chemali; Shibani S. Mukerji; Lidia M. V. R. Moura; Sahar F. Zafar; Akshata Sonni; Alessandro Biffi; Jonathan Rosand; M. Brandon Westover (Int. J. Medical Informatics, 2023)

A non-parametric statistical inference framework for Deep Learning in current neuroimaging - Carmen Jimenez-Mesa; Javier Ramírez; John Suckling; Jonathan Vöglein; Johannes Levin; Juan Manuel Górriz (Inf. Fusion, 2023)

Synthetic seismocardiogram generation using a transformer-based neural network - Mohammad Nikbakht; Asim Hossain Gazi; Jonathan Zia; Sungtae An; David Jimmy Lin; Omer T. Inan; Rishikesan Kamaleswaran (J. Am. Medical Informatics Assoc., 2023)

REDCap and the National Mesothelioma Virtual Bank - a scalable and sustainable model for rare disease biorepositories - Rumana Rashid; Susan Copelli; Jonathan C. Silverstein; Michael J. Becich (J. Am. Medical Informatics Assoc., 2023)

Selective prediction for extracting unstructured clinical data - Akshay Swaminathan; Iván López; William Wang; Ujwal Srivastava; Edward Tran; Aarohi Bhargava-Shah; Janet Y. Wu; Alexander L. Ren; Kaitlin Caoili; Brandon Bui; Layth Alkhani; Susan Lee; et al. (J. Am. Medical Informatics Assoc., 2023)

Harnessing the potential of trace data and linguistic analysis to predict learner performance in a multi-text writing task - Mladen Rakovic; Sehrish Iqbal; Tongguang Li; Yizhou Fan; Shaveen Singh; Surya Surendrannair; Jonathan Kilgour; Joep van der Graaf; Lyn Lim; Inge Molenaar; Maria Bannert; Johanna D. Moore; et al. (J. Comput. Assist. Learn., 2023)

Blinded Predictions and Post Hoc Analysis of the Second Solubility Challenge Data: Exploring Training Data and Feature Set Selection for Machine and Deep Learning Models - Jonathan G. M. Conn; James W. Carter; Justin J. A. Conn; Vigneshwari Subramanian; Andrew Baxter; Ola Engkvist; Antonio Llinàs; Ekaterina Ratkova; Stephen D. Pickett; James L. McDonagh; David S. Palmer (J. Chem. Inf. Model., 2023)

Scaffold Hopping and Optimization of Small Molecule Soluble Adenyl Cyclase Inhibitors Led by Free Energy Perturbation - Shan Sun; Makoto Fushimi; Thomas Rossetti; Navpreet Kaur; Jacob Ferreira; Michael Miller; Jonathan Quast; Joop van den Heuvel; Clemens Steegborn; Lonny R. Levin; Jochen Buck; Robert W. Myers; et al. (J. Chem. Inf. Model., 2023)

Slow negative feedback enhances robustness of square-wave bursting - Sushmita Rose John; Bernd Krauskopf; Hinke M. Osinga; Jonathan E. Rubin (J. Comput. Neurosci., 2023)

Imaging of Gastrointestinal Tract Ailments - Boyang Sun; Jingang Liu; Silu Li; Jonathan F. Lovell; Yumiao Zhang (J. Imaging, 2023)

A Simulation Modelling Study of Referral Distribution Policies in a Centralized Intake System for Surgical Consultation - Deborah A. Marshall; Toni Tagimacruz; Monica Cepoiu-Martin; Jill Robert; Bernice Ring; Michael Burston; Suzanne Higgins; Monica Hess; Jonathan White (J. Medical Syst., 2023)

Low-Rank Tensor Data Reconstruction and Denoising via ADMM: Algorithm and Convergence Analysis - Jonathan Popa; Yifei Lou; Susan E. Minkoff (J. Sci. Comput., 2023)

8-b Precision 8-Mb ReRAM Compute-in-Memory Macro Using Direct-Current-Free Time-Domain Readout Scheme for AI Edge Devices - Je-Min Hung; Tai-Hao Wen; Yen-Hsiang Huang; Sheng-Po Huang; Fu-Chun Chang; Chin-I Su; Win-San Khwa; Chung-Chuan Lo; Ren-Shuo Liu; Chih-Cheng Hsieh; Kea-Tiong Tang; Yu-Der Chih; et al. (IEEE J. Solid State Circuits, 2023)

Co-attention spatial transformer network for unsupervised motion tracking and cardiac strain analysis in 3D echocardiography - Shawn S. Ahn; Kevinminh Ta; Stephanie Thorn; John A. Onofrey; Inga H. Melvinsdottir; Supum Lee; Jonathan Langdon; Albert J. Sinusas; James S. Duncan (Medical Image Anal., 2023)

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation - Reuben Dorent; Aaron Kujawa; Marina Ivory; Spyridon Bakas; Nicola Rieke; Samuel Joutard; Ben Glocker; M. Jorge Cardoso; Marc Modat; Kayhan Batmanghelich; Arseniy Belkov; Maria G. Baldeon Calisto; et al. (Medical Image Anal., 2023)

Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat) - Ziyu Li; Qiuyun Fan; Berkin Bilgic; Guangzhi Wang; Wenchuan Wu; Jonathan R. Polimeni; Karla L. Miller; Susie Yi Huang; Qiyuan Tian (Medical Image Anal., 2023)

A cover selection-based reversible data hiding method by learning cross-modal hashing - Liming Zou; Jiande Sun; Wenbo Wan; Jing Li; Q. M. Jonathan Wu (Multim. Tools Appl., 2023)

The Neuroscience Multi-Omic Archive: a BRAIN Initiative resource for single-cell transcriptomic and epigenomic data from the mammalian brain - Seth A. Ament; Ricky S. Adkins; Robert Carter; Elena Chrysostomou; Carlo Colantuoni; Jonathan Crabtree; Heather Huot Creasy; Kylee Degatano; Victor Felix; Peter Gandt; Gwenn a Garden; Michelle G. Giglio; et al. (Nucleic Acids Res., 2023)

GENCODE: reference annotation for the human and mouse genomes in 2023 - Adam Frankish; Silvia Carbonell Sala; Mark Diekhans; Irwin Jungreis; Jane E. Loveland; Jonathan M. Mudge; Cristina Sisu; James C. Wright; Carme Arnan; If Barnes; Abhimanyu Banerjee; Ruth Bennett; et al. (Nucleic Acids Res., 2023)

Ensembl 2023 - Fergal J. Martin; M. Ridwan Amode; Alisha Aneja; Olanrewaju Austine-Orimoloye; Andrey G. Azov; If Barnes; Arne Becker; Ruth Bennett; Andrew E. Berry; Jyothish Bhai; Simarpreet Kaur Bhurji; Alexandra Bignell; et al. (Nucleic Acids Res., 2023)

MIBiG 3.0: a community-driven effort to annotate experimentally validated biosynthetic gene clusters - Barbara R. Terlouw; Kai Blin; Jorge C. Navarro-Muñoz; Nicole E. Avalon; Marc G. Chevrette; Susan Egbert; Sanghoon Lee; David Meijer; Michael J. Recchia; Zachary L. Reitz; Jeffrey A. van Santen; Nelly Selem Mojica; et al. (Nucleic Acids Res., 2023)

Biological research and self-driving labs in deep space supported by artificial intelligence - Lauren M. Sanders; Ryan T. Scott; Jason H. Yang; Amina Ann Qutub; Héctor García Martín; Daniel C. Berrios; Jaden J. A. Hastings; Jon Rask; Graham Mackintosh; Adrienne L. Hoarfrost; Stuart J. Chalk; John Kalantari; et al. (Nat. Mac. Intell., 2023)

Biomonitoring and precision health in deep space supported by artificial intelligence - Ryan T. Scott; Lauren M. Sanders; Erik L. Antonsen; Jaden J. A. Hastings; Seung-Min Park; Graham Mackintosh; Robert J. Reynolds; Adrienne L. Hoarfrost; Aenor Sawyer; Casey S. Greene; Benjamin S. Glicksberg; Corey A. Theriot; et al. (Nat. Mac. Intell., 2023)

Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium - Xi Zhu; Yoojean Kim; Orren Ravid; Xiaofu He; Benjamin Suarez-Jimenez; Sigal Zilcha-Mano; Amit Lazarov; Seonjoo Lee; Chadi G. Abdallah; Michael Angstadt; Christopher L. Averill; C. Lexi Baird; et al. (NeuroImage, 2023)

A general-purpose organic gel computer that learns by itself - Pathik Sahoo; Pushpendra Singh; Komal Saxena; Subrata Ghosh; Ravindra P. Singh; Ryad Benosman; Jonathan P. Hill; Tomonobu Nakayama; Anirban Bandyopadhyay (Neuromorph. Comput. Eng., 2023)

The Intel neuromorphic DNS challenge - Jonathan Timcheck; Sumit Bam Shrestha; Daniel Ben Dayan Rubin; Adam Kupryjanow; Garrick Orchard; Lukasz Pindor; Timothy M. Shea; Mike Davies (Neuromorph. Comput. Eng., 2023)

Perspectives on Negative Research Results in Pervasive Computing - Ella Peltonen; Nitinder Mohan; Peter Zdankin; Tanya Shreedhar; Tri Nguyen; Suzan Bayhan; Jon Crowcroft; Jussi Kangasharju; Daniela Nicklas (IEEE Pervasive Comput., 2023)

Modeling suggests that virion production cycles within individual cells is key to understanding acute hepatitis B virus infection kinetics - Atesmachew Hailegiorgis; Yuji Ishida; Nicholson T. Collier; Michio Imamura; Zhenzhen Shi; Vladimir Reinharz; Masataka Tsuge; Danny Barash; Nobuhiko Hiraga; Hiroshi Yokomichi; Chise Tateno; Jonathan Ozik; et al. (PLoS Comput. Biol., 2023)

MetaNovo: An open-source pipeline for probabilistic peptide discovery in complex metaproteomic datasets - Matthys G. Potgieter; Andrew J. M. Nel; Suereta Fortuin; Shaun Garnett; Jerome M. Wendoh; David L. Tabb; Nicola J. Mulder; Jonathan M. Blackburn (PLoS Comput. Biol., 2023)

TensorCircuit: a Quantum Software Framework for the NISQ Era - Shi-Xin Zhang; Jonathan Allcock; Zhou-Quan Wan; Shuo Liu; Jiace Sun; Hao Yu; Xing-Han Yang; Jiezhong Qiu; Zhaofeng Ye; Yu-Qin Chen; Chee-Kong Lee; Yicong Zheng; et al. (Quantum, 2023)

Tetraflex: A Multigait Soft Robot for Object Transportation in Confined Environments - Peter Wharton; Tsam Lung You; George P. Jenkinson; Richard Suphapol Diteesawat; Nguyen Hao Le; Edith-Clare Hall; Martin Stephen Garrad; Andrew T. Conn; Jonathan Rossiter (IEEE Robotics Autom. Lett., 2023)

Quantifying Forest Litter Fuel Moisture Content with Terrestrial Laser Scanning - Jonathan L. Batchelor; Eric Rowell; Susan J. Prichard; Deborah G. Nemens; James Cronan; Maureen C. Kennedy; L. Monika Moskal (Remote. Sens., 2023)

Effect of Tryptic Digestion on Sensitivity and Specificity in MALDI-TOF-Based Molecular Diagnostics through Machine Learning - Sumon Sarkar; Abigail Squire; Hanin Diab; Md. Kaisar Rahman; Angela Perdomo; Babafela Awosile; Alexandra Calle; Jonathan E. Thompson (Sensors, 2023)

Reinforcement learning optimal control with semi-continuous reward function and fuzzy-rules networks for drug administration of cancer treatment - Chidentree Treesatayapun; Aldo-Jonathan Muñoz-Vázquez; Naret Suyaroj (Soft Comput., 2023)

A Third Angular Momentum of Photons - Pathik Sahoo; Pushpendra Singh; Jhimli Sarkar Manna; Ravindra P. Singh; Jonathan P. Hill; Tomonobu Nakayama; Subrata Ghosh; Anirban Bandyopadhyay (Symmetry, 2023)

Emotional Expressivity is a Reliable Signal of Surprise - Su Lei; Jonathan Gratch (IEEE Trans. Affect. Comput., 2023)

Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks - Darius Petermann; Gordon Wichern; Aswin Shanmugam Subramanian; Zhong-Qiu Wang; Jonathan Le Roux (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Secure Multi-Party Computation-Based Privacy-Preserving Authentication for Smart Cities - Victor Sucasas; Abdelrahaman Aly; Georgios Mantas; Jonathan Rodriguez; Najwa Aaraj (IEEE Trans. Cloud Comput., 2023)

Attribute-Based Pseudonymity for Privacy-Preserving Authentication in Cloud Services - Victor Sucasas; Georgios Mantas; Maria Papaioannou; Jonathan Rodriguez (IEEE Trans. Cloud Comput., 2023)

A study on the effects of normalized TSP features for automated algorithm selection - Jonathan Heins; Jakob Bossek; Janina Pohl; Moritz Seiler; Heike Trautmann; Pascal Kerschke (Theor. Comput. Sci., 2023)

Secret-to-Image Reversible Transformation for Generative Steganography - Zhili Zhou; Yuecheng Su; Jin Li; Keping Yu; Q. M. Jonathan Wu; Zhangjie Fu; Yunqing Shi (IEEE Trans. Dependable Secur. Comput., 2023)

Editorial Entrepreneurial Finance for Green Innovative SMEs - Robyn Owen; Tiago Botelho; Ciarán Mac an Bhaird; Javed Ghulam Hussain; Yannis Pierrakis; Jonathan M. Scott; Suman Lodh (IEEE Trans. Engineering Management, 2023)

How Do High-Speed Railways Spur Innovation? - Daxin Sun; Saixing Zeng; Hanyang Ma; Jonathan Jingsheng Shi (IEEE Trans. Engineering Management, 2023)

A Click-Based Interactive Segmentation Network for Point Clouds - Wentao Sun; Zhipeng Luo; Yiping Chen; Huxiong Li; José Marcato Junior; Wesley Nunes Gonçalves; Jonathan Li (IEEE Trans. Geosci. Remote. Sens., 2023)

Reflective-Mode Phase-Variation Submersible Sensor for Liquid Characterization - Lijuan Su; Paris Vélez; Pau Casacuberta; Jonathan Muñoz-Enano; Marta Gil-Barba; Ferran Martín (IEEE Trans. Instrum. Meas., 2023)

Early Prediction of Impending Exertional Heat Stroke With Wearable Multimodal Sensing and Anomaly Detection - Cem Okan Yaldiz; Mark J. Buller; Kristine L. Richardson; Sungtae An; David Jimmy Lin; Aprameya Satish; Kyla Driver; Emma Atkinson; Timothy Mesite; Christopher King; Max Bursey; Meghan Galer; et al. (IEEE J. Biomed. Health Informatics, 2023)

Synthesis of Large-Scale Instant IoT Networks - Pradipta Ghosh; Jonathan Bunton; Dimitrios Pylorof; Marcos A. M. Vieira; Kevin Chan; Ramesh Govindan; Gaurav S. Sukhatme; Paulo Tabuada; Gunjan Verma (IEEE Trans. Mob. Comput., 2023)

Pseudo-Label Guided Image Synthesis for Semi-Supervised COVID-19 Pneumonia Infection Segmentation - Fei Lyu; Mang Ye; Jonathan Frederik Carlsen; Kenny Erleben; Sune Darkner; Pong C. Yuen (IEEE Trans. Medical Imaging, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Robust Coverless Image Steganography Based on Neglected Coverless Image Dataset Construction - Liming Zou; Jing Li; Wenbo Wan; Q. M. Jonathan Wu; Jiande Sun (IEEE Trans. Multim., 2023)

Sources of Facial Expression Synchrony - Su Lei; Jonathan Gratch (11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023, Cambridge, MA, USA, September 10-13, 2023, 2023)

Involving Teachers in the Data-Driven Improvement of Intelligent Tutors: A Prototyping Study - Meng Xia; Xinyi Zhao; Dong Sun; Yun Huang; Jonathan Sewall; Vincent Aleven (Artificial Intelligence in Education - 24th International Conference, AIED 2023, Tokyo, Japan, July 3-7, 2023, Proceedings, 2023)

Robust Control of a Nonsmooth or Switched Control Affine Uncertain Nonlinear System Using a Novel RISE-Inspired Approach - Jonathan Ting; Sujata Basyal; Brendon C. Allen (American Control Conference, ACC 2023, San Diego, CA, USA, May 31 - June 2, 2023, 2023)

A QoS Throughput Performance Measurement Comparison between UGS and BE Services of a Real-time FPGA Based OFDM Multi-user System Design Implementation - Trio Adiono; Michael Jonathan; Erwin Setiawan; Nana Sutisna; Rahmat Mulyawan; Infall Syafalni (Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023, Taipei, Taiwan, October 31 - Nov. 3, 2023, 2023)

VarSaw: Application-tailored Measurement Error Mitigation for Variational Quantum Algorithms - Siddharth Dangwal; Gokul Subramanian Ravi; Poulami Das; Kaitlin N. Smith; Jonathan Mark Baker; Frederic T. Chong (Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 4, ASPLOS 2023, Vancouver, BC, Canada, March 25-29, 2023, 2023)

Better Than Worst-Case Decoding for Quantum Error Correction - Gokul Subramanian Ravi; Jonathan M. Baker; Arash Fayyazi; Sophia Fuhui Lin; Ali Javadi-Abhari; Massoud Pedram; Frederic T. Chong (Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2, ASPLOS 2023, Vancouver, BC, Canada, March 25-29, 2023, 2023)

CAFQA: A Classical Simulation Bootstrap for Variational Quantum Algorithms - Gokul Subramanian Ravi; Pranav Gokhale; Yi Ding; William M. Kirby; Kaitlin N. Smith; Jonathan M. Baker; Peter J. Love; Henry Hoffmann; Kenneth R. Brown; Frederic T. Chong (Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1, ASPLOS 2023, Vancouver, BC, Canada, March 25-29, 2023, 2023)

Navigating the Dynamic Noise Landscape of Variational Quantum Algorithms with QISMET - Gokul Subramanian Ravi; Kaitlin N. Smith; Jonathan M. Baker; Tejas Kannan; Nathan Earnest; Ali Javadi-Abhari; Henry Hoffmann; Frederic T. Chong (Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2, ASPLOS 2023, Vancouver, BC, Canada, March 25-29, 2023, 2023)

Eye-Perspective View Management for Optical See-Through Head-Mounted Displays - Gerlinde Emsenhuber; Tobias Langlotz; Denis Kalkofen; Jonathan Sutton; Markus Tatzgern (Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023, Hamburg, Germany, April 23-28, 2023, 2023)

Exploring Types of On-Demand Reading Assistance for Elementary School Students - Jonathan Kutter; Tobias Lunte; Susanne Boll (Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, CHI EA 2023, Hamburg, Germany, April 23-28, 2023, 2023)

Sharp thresholds in inference of planted subgraphs - Elchanan Mossel; Jonathan Niles-Weed; Youngtak Sohn; Nike Sun; Ilias Zadik (The Thirty Sixth Annual Conference on Learning Theory, COLT 2023, 12-15 July 2023, Bangalore, India, 2023)

DataPLANT Cloud Oriented Service Infrastructure Open for Integration and Adaptation - Dirk von Suchodoletz; Jonathan Bauer; Marcel Tschöpe (1st Conference on Research Data Infrastructure - Connecting Communities, CoRDI 2023, Karlsruhe, Germany, September 12-14, 2023, 2023)

Why is the Winner the Best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

A Practical Stereo Depth System for Smart Glasses - Jialiang Wang; Daniel Scharstein; Akash Bapat; Kevin Blackburn-Matzen; Matthew Yu; Jonathan Lehman; Suhib Alsisan; Yanghan Wang; Sam S. Tsai; Jan-Michael Frahm; Zijian He; Peter Vajda; et al. (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

It Takes a Village: Building an Infrastructure for 3D Scholarly Editions - Constantinos Papadopoulos; Susan Schreibman; Kelly Gillikin Schoueri; Jamie Cope; Jon Blundell; Jun Ogawa; Kiyonori Nagasaki (Annual International Conference of the Alliance of Digital Humanities Organizations, DH 2022, Graz, Austria, July 10-14, 2023, Conference Abstracts, 2023)

Cost Optimization for the Edge-Cloud Continuum by Energy-Aware Workload Placement - Rickard Brännvall; Tina Stark; Jonas Gustafsson; Mats Eriksson; Jon Summers (Companion Proceedings of the 14th ACM International Conference on Future Energy Systems, e-Energy 2023, Orlando, FL, USA, June 20-23, 2023, 2023)

Enhancing HIV Patient Support Through Telehealth: Exploring Design Solutions - Richard Noll; Alexander Voigt; Susanne M. Köhler; Angelina Mueller; Christoph Stephan; Jonathan Carney; Michael von Wagner; Timm Weber; Holger Storf; Jannik Schaaf (Telehealth Ecosystems in Practice - Proceedings of the EFMI Special Topic Conference 2023, EFMI-STC 2023, Turin, Italy, 25 - 27 October 2023, 2023)

Analyzing Norm Violations in Live-Stream Chat - Jihyung Moon; Dong-Ho Lee; Hyundong Cho; Woojeong Jin; Chan Young Park; Minwoo Kim; Jonathan May; Jay Pujara; Sungjoon Park (Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023, 2023)

Work in Progress: Evaluation of Security Standards through a Cyber Range using Hackers' Tactics, Techniques and Procedures - Patrick Wake; Sue Black; Jonathan Young (IEEE European Symposium on Security and Privacy, EuroS&P 2023 - Workshops, Delft, Netherlands, July 3-7, 2023, 2023)

Reconfigurable Intelligent Surface-Enabled Physical-Layer Network Coding for Higher Order M-QAM Signals - Ehsan Atefat Doost; Firooz B. Saghezchi; Pablo Fondo-Ferreiro; Felipe J. Gil-Castiñeira; Maria Papaioannou; John Vardakas; Jinwara Surattanagul; Jonathan Rodriguez (IEEE Global Communications Conference, GLOBECOM 2023, Kuala Lumpur, Malaysia, December 4-8, 2023, 2023)

Scaling AI Ventures: How to Navigate Tensions between Automation and Augmentation - Jonathan Zebhauser; Hannes Rothe; Janina Sundermeier (56th Hawaii International Conference on System Sciences, HICSS 2023, Maui, Hawaii, USA, January 3-6, 2023, 2023)

Reverberation as Supervision For Speech Separation - Rohith Aralikatti; Christoph Böddeker; Gordon Wichern; Aswin Shanmugam Subramanian; Jonathan Le Roux (IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2023, Rhodes Island, Greece, June 4-10, 2023, 2023)

Hyperbolic Audio Source Separation - Darius Petermann; Gordon Wichern; Aswin Shanmugam Subramanian; Jonathan Le Roux (IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2023, Rhodes Island, Greece, June 4-10, 2023, 2023)

A Comparative Analysis of Decision Tree and Support Vector Machine on Suicide Ideation Detection - Mario Sebastian Santoso; Jovan Jonathan Suryadi; Kevin Marchellino; Ghinaa Zain Nabiilah; Rojali (Empowering Smart Technology in Digital Era for Industry and Socity: The 8th International Conference on Computer Science and Computational Intelligence, ICCSCI 2023, 02-03 August 2023, Malang, Indonesia, 2023)

Effectiveness of AI in Drug Discovery - Jonathan Leonardo Joachim Deloule; Annapoornima M. Subramanian (IEEE International Conference on Engineering, Technology and Innovation, ICE/ITMC 2023, Edinburgh, United Kingdom, June 19-22, 2023, 2023)

Revisiting Modality Imbalance In Multimodal Pedestrian Detection - Arindam Das; Sudip Das; Ganesh Sistu; Jonathan Horgan; Ujjwal Bhattacharya; Edward Jones; Martin Glavin; Ciarán Eising (IEEE International Conference on Image Processing, ICIP 2023, Kuala Lumpur, Malaysia, October 8-11, 2023, 2023)

Entrepreneurial Framing and Negotiations of Product Boundaries: A Qualitative Study on the Social Construction of Product Innovation in AI Ventures - Jonathan Zebhauser; Hannes Rothe; Janina Sundermeier; Samuel Koranteng (Proceedings of the 44th International Conference on Information Systems, ICIS 2023, Rising Like a Phoenix: Emerging from the Pandemic and Reshaping Human Endeavors with Digital Technologies, Hyderrabad, India, December 10-13, 2023, 2023)

Learning to reason over visual objects - Shanka Subhra Mondal; Taylor Whittington Webb; Jonathan Cohen (The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023)

Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask? - Mansheej Paul; Feng Chen; Brett W. Larsen; Jonathan Frankle; Surya Ganguli; Gintare Karolina Dziugaite (The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023)

Robotic Table Wiping via Reinforcement Learning and Whole-body Trajectory Optimization - Thomas Lew; Sumeet Singh; Mario Prats; Jeffrey Bingham; Jonathan Weisz; Benjie Holson; Xiaohan Zhang; Vikas Sindhwani; Yao Lu; Fei Xia; Peng Xu; Tingnan Zhang; et al. (IEEE International Conference on Robotics and Automation, ICRA 2023, London, UK, May 29 - June 2, 2023, 2023)

RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control - Zhenggang Tang; Balakumar Sundaralingam; Jonathan Tremblay; Bowen Wen; Ye Yuan; Stephen Tyree; Charles T. Loop; Alexander G. Schwing; Stan Birchfield (IEEE International Conference on Robotics and Automation, ICRA 2023, London, UK, May 29 - June 2, 2023, 2023)

HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs - Chengming Zhang; Shaden Smith; Baixi Sun; Jiannan Tian; Jonathan Soifer; Xiaodong Yu; Shuaiwen Leon Song; Yuxiong He; Dingwen Tao (Proceedings of the 37th International Conference on Supercomputing, ICS 2023, Orlando, FL, USA, June 21-23, 2023, 2023)

High Precision Mapping Of Building Changes Using Sentinel-2 - Jonathan Prexl; Sudipan Saha; Michael Schmitt (IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, Pasadena, CA, USA, July 16-21, 2023, 2023)

Automatic Image-to-Color Point Cloud Cross-modal Registration Based on Graph Neural Networks and Iterative Reprojection - Yang Zhao; Shanxin Zhang; Jiande Sun; Jian Chen; Cheng Wang; Jonathan Li (IEEE International Symposium on Circuits and Systems, ISCAS 2023, Monterey, CA, USA, May 21-25, 2023, 2023)

Geomagnetic Disturbance Uncertainty Quantification Modeling: An Electromagnetic Transient and Steady-State Simulation based Approach - Arturo S. Bretas; Kiana Brown; Varoozhan Hartoonian; Jonathan Snodgrass (IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2023, Grenoble, France, October 23-26, 2023, 2023)

Team Decision Making Considering Uncertainty in Data Visualisation - Ainoa Abella; Midori Sugihara; Vanja Cok; Tomiya Kimura; Testuya Toma; Jonathan Chacón (Leveraging Transdisciplinary Engineering in a Changing and Connected World - Proceedings of the 30th ISTE International Conference on Transdisciplinary Engineering, TE 2023, Hua Hin Cha Am, Thailand, July 11-14, 2023, 2023)

Assessment of the Impact of Network Infrastructure Failure on Infrastructure-supported vs. Infrastructure-Less V2X Systems - Jonathan Brandon Sukhu; Hao Yang; Harith Abdulsattar; Saiedeh Razavi (25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022, Macau, China, October 8-12, 2022, 2023)

Artificial Vision Technique to Detect and Classify Cocoa Beans - Luis Zhinin-Vera; Jonathan Zhiminaicela-Cabrera; Elena Pretel; Pamela Suárez; Oscar Chang; Francesc Anton Castro; Francisco López de la Rosa (Advances in Computational Intelligence - 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19-21, 2023, Proceedings, Part II, 2023)

ALL-IN: ALocal GLobal Graph-Based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment - Puria Azadi; Jonathan Suderman; Ramin Nakhli; Katherine Rich; Maryam Asadi; Sonia Kung; Htoo Oo; Mira Keyes; Hossein Farahani; Calum MacAulay; Larry Goldenberg; Peter Black; et al. (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VI, 2023)

On the Role of Similarity in Detecting Masquerading Files - Jonathan Oliver; Jue Mo; Susmit Yenkar; Raghav Batta; Sekhar Josyoula (Machine Learning for Cyber Security - 5th International Conference, ML4CS 2023, Yanuca Island, Fiji, December 4-6, 2023, Proceedings, 2023)

Behavioral Biometrics for Mobile User Authentication: Benefits and Limitations - Maria Papaioannou; Georgios Mantas; Emmanouil Manos Panaousis; Aliyah Essop; Jonathan Rodriguez; Victor Sucasas (IFIP Networking Conference, IFIP Networking 2023, Barcelona, Spain, June 12-15, 2023, 2023)

SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning - Benjamin Ellis; Jonathan Cook; Skander Moalla; Mikayel Samvelyan; Mingfei Sun; Anuj Mahajan; Jakob N. Foerster; Shimon Whiteson (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models - Neel Guha; Julian Nyarko; Daniel E. Ho; Christopher Ré; Adam Chilton; Aditya K; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; et al. (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

When Do Neural Nets Outperform Boosted Trees on Tabular Data? - Duncan C. McElfresh; Sujay Khandagale; Jonathan Valverde; Vishak Prasad C.; Ganesh Ramakrishnan; Micah Goldblum; Colin White (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design - Pascal Notin; Aaron Kollasch; Daniel Ritter; Lood van Niekerk; Steffanie Paul; Han Spinner; Nathan J. Rollins; Ada Shaw; Rose Orenbuch; Ruben Weitzman; Jonathan Frazer; Mafalda Dias; et al. (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization - Hao Sun; Boris van Breugel; Jonathan Crabbé; Nabeel Seedat; Mihaela van der Schaar (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Learning Large-scale Neural Fields via Context Pruned Meta-Learning - Jihoon Tack; Subin Kim; Sihyun Yu; Jaeho Lee; Jinwoo Shin; Jonathan Richard Schwarz (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Systematic Visual Reasoning through Object-Centric Relational Abstraction - Taylor W. Webb; Shanka Subhra Mondal; Jonathan D. Cohen (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Scaling Robot Learning with Semantically Imagined Experience - Tianhe Yu; Ted Xiao; Jonathan Tompson; Austin Stone; Su Wang; Anthony Brohan; Jaspiar Singh; Clayton Tan; Dee M; Jodilyn Peralta; Karol Hausman; Brian Ichter; et al. (Robotics: Science and Systems XIX, Daegu, Republic of Korea, July 10-14, 2023, 2023)

Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments - Jonathan Bader; Jim Belak; Matthew T. Bement; Matthew Berry; Robert Carson; Daniela Cassol; Stephen Chan; John Coleman; Kastan Day; Alejandro Duque; Kjiersten Fagnan; Jeff Froula; et al. (Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, SC-W 2023, Denver, CO, USA, November 12-17, 2023, 2023)

Experimental Evaluation of Adversarial Attacks Against Natural Language Machine Learning Models - Jonathan Li; Steven Pugh; Honghe Zhou; Lin Deng; Josh Dehlinger; Suranjan Chakraborty (21st IEEE/ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2023, Orlando, FL, USA, May 23-25, 2023, 2023)

Discussing the History of Ideas in a Data Science Seminar - Paul E. Anderson; Kelly Bodwin; Alex Dekhtyar; Hunter Glanz; Foaad Khosmood; Lubomir Stanchev; Dennis L. Sun; Jonathan Ventura (Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, SIGCSE 2023, Toronto, ON, Canada, March 15-18, 2023, 2023)

Detection Is Better Than Cure: A Cloud Incidents Perspective - Vaibhav Ganatra; Anjaly Parayil; Supriyo Ghosh; Yu Kang; Minghua Ma; Chetan Bansal; Suman Nath; Jonathan Mace (Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2023, San Francisco, CA, USA, December 3-9, 2023, 2023)

Inherent Atrial Fibrillation Vulnerability in the Appendages Exacerbated in Heart Failure - Shaleka Agrawal; Joseph Ashby; Jeiyun Bai; Fan Feng; Xue Cai; Joseph Yanni; Caroline B. Jones; Sunil Jit Logantha; Akbar Vohra; Robert C. Hutcheon; Antonio F. Corno; Halina Dobrzynski; et al. (Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers - 14th International Workshop, STACOM 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Revised Selected Papers, 2023)

Trustworthy Swarms - James Wilson; Greg Chance; Peter D. Winter; Suet Lee; Emma Milner; Dhaminda B. Abeywickrama; Shane Windsor; John Downer; Kerstin Eder; Jonathan Ives; Sabine Hauert (Proceedings of the First International Symposium on Trustworthy Autonomous Systems, TAS 2023, Edinburgh, United Kingdom, July 11-12, 2023, 2023)

CPViz: Visualizing clinical pathways represented in higher-order networks - Junghoon Chae; Byung H. Park; Minsu Kim; Everett Neil Rush; Özgür Özmen; Makoto Jones; Merry Ward; Jonathan R. Nebeker (Visualization and Data Analysis 2023, San Francisco, CA, USA, January 15-19, 2023, 2023)

FCLWebVis: A flexible cross-language web-based data visualization framework - Nguyen K. Phan; Guoning Chen; George Navarro; Reshmitha Muppala; Jonathan Chu; Sunny Kim (Visualization and Data Analysis 2023, San Francisco, CA, USA, January 15-19, 2023, 2023)

A 28nm Nonvolatile AI Edge Processor using 4Mb Analog-Based Near-Memory-Compute ReRAM with 27.2 TOPS/W for Tiny AI Edge Devices - Tai-Hao Wen; Je-Min Hung; Hung-Hsi Hsu; Yuan Wu; Fu-Chun Chang; Chung-Yuan Li; Chih-Han Chien; Chin-I Su; Win-San Khwa; Jui-Jen Wu; Chung-Chuan Lo; Ren-Shuo Liu; et al. (2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), Kyoto, Japan, June 11-16, 2023, 2023)

A 4.24GHz 128X256 SRAM Operating Double Pump Read Write Same Cycle in 5nm Technology - Nick Zhang; Young Suk Kim; Peter Hsu; Samsoo Kim; Derek Tao; Hung-Jen Liao; Ping-Wei Wang; Geoffrey Yeap; Quincy Li; Tsung-Yung Jonathan Chang (2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), Kyoto, Japan, June 11-16, 2023, 2023)

The Semantic Scholar Open Data Platform - Rodney Kinney; Chloe Anastasiades; Russell Authur; Iz Beltagy; Jonathan Bragg; Alexandra Buraczynski; Isabel Cachola; Stefan Candra; Yoganand Chandrasekhar; Arman Cohan; Miles Crawford; Doug Downey; et al. (CoRR, 2023)

Efficient Meta-Learning via Error-based Context Pruning for Implicit Neural Representations - Jihoon Tack; Subin Kim; Sihyun Yu; Jaeho Lee; Jinwoo Shin; Jonathan Richard Schwarz (CoRR, 2023)

AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge - Coen de Vente; Koenraad A. Vermeer; Nicolas Jaccard; He Wang; Hongyi Sun; Firas Khader; Daniel Truhn; Temirgali Aimyshev; Yerkebulan Zhanibekuly; Tien-Dung Le; Adrian Galdran; Miguel Ángel González Ballester; et al. (CoRR, 2023)

From Group-Differences to Single-Subject Probability: Conformal Prediction-based Uncertainty Estimation for Brain-Age Modeling - Jan Ernsting; Nils R. Winter; Ramona Leenings; Kelvin Sarink; Carlotta B. C. Barkhau; Lukas Fisch; Daniel Emden; Vincent Holstein; Jonathan Repple; Dominik Grotegerd; Susanne Meinert; NAKO Investigators; et al. (CoRR, 2023)

Scaling Robot Learning with Semantically Imagined Experience - Tianhe Yu; Ted Xiao; Austin Stone; Jonathan Tompson; Anthony Brohan; Su Wang; Jaspiar Singh; Clayton Tan; Dee M; Jodilyn Peralta; Brian Ichter; Karol Hausman; et al. (CoRR, 2023)

Revisiting Modality Imbalance In Multimodal Pedestrian Detection - Arindam Das; Sudip Das; Ganesh Sistu; Jonathan Horgan; Ujjwal Bhattacharya; Edward Jones; Martin Glavin; Ciarán Eising (CoRR, 2023)

Sharp thresholds in inference of planted subgraphs - Elchanan Mossel; Jonathan Niles-Weed; Youngtak Sohn; Nike Sun; Ilias Zadik (CoRR, 2023)

Learning to reason over visual objects - Shanka Subhra Mondal; Taylor Whittington Webb; Jonathan D. Cohen (CoRR, 2023)

TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker Embeddings - Christoph Böddeker; Aswin Shanmugam Subramanian; Gordon Wichern; Reinhold Haeb-Umbach; Jonathan Le Roux (CoRR, 2023)

The Intel Neuromorphic DNS Challenge - Jonathan Timcheck; Sumit Bam Shrestha; Daniel Ben Dayan Rubin; Adam Kupryjanow; Garrick Orchard; Lukasz Pindor; Timothy M. Shea; Mike Davies (CoRR, 2023)

Workflows Community Summit 2022: A Roadmap Revolution - Rafael Ferreira da Silva; Rosa M. Badia; Venkat Bala; Debbie Bard; Peer-Timo Bremer; Ian Buckley; Silvina Caíno-Lores; Kyle Chard; Carole A. Goble; Shantenu Jha; Daniel S. Katz; Daniel E. Laney; et al. (CoRR, 2023)

Partial-View Object View Synthesis via Filtered Inversion - Fan-Yun Sun; Jonathan Tremblay; Valts Blukis; Kevin Lin; Danfei Xu; Boris Ivanovic; Péter Karkus; Stan Birchfield; Dieter Fox; Ruohan Zhang; Yunzhu Li; Jiajun Wu; et al. (CoRR, 2023)

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking - Jason Yik; Soikat Hasan Ahmed; Zergham Ahmed; Brian Anderson; Andreas G. Andreou; Chiara Bartolozzi; Arindam Basu; Douwe den Blanken; Petrut Bogdan; Sander M. Bohté; Younes Bouhadjar; Sonia M. Buckley; et al. (CoRR, 2023)

An autoencoder compression approach for accelerating large-scale inverse problems - Jonathan Wittmer; Jacob C. Badger; Hari Sundar; Tan Bui-Thanh (CoRR, 2023)

HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs - Chengming Zhang; Shaden Smith; Baixi Sun; Jiannan Tian; Jonathan Soifer; Xiaodong Yu; Shuaiwen Leon Song; Yuxiong He; Dingwen Tao (CoRR, 2023)

JaxPruner: A concise library for sparsity research - Joo Hyung Lee; Wonpyo Park; Nicole Mitchell; Jonathan Pilault; Johan S. Obando-Ceron; Han-Byul Kim; Namhoon Lee; Elias Frantar; Yun Long; Amir Yazdanbakhsh; Shivani Agrawal; Suvinay Subramanian; et al. (CoRR, 2023)

When Do Neural Nets Outperform Boosted Trees on Tabular Data? - Duncan C. McElfresh; Sujay Khandagale; Jonathan Valverde; Vishak Prasad C.; Ganesh Ramakrishnan; Micah Goldblum; Colin White (CoRR, 2023)

QB4AIRA: A Question Bank for AI Risk Assessment - Sung Une Lee; Harsha Perera; Boming Xia; Yue Liu; Qinghua Lu; Liming Zhu; Olivier Salvado; Jon Whittle (CoRR, 2023)

PaLM 2 Technical Report - Rohan Anil; Andrew M. Dai; Orhan Firat; Melvin Johnson; Dmitry Lepikhin; Alexandre Passos; Siamak Shakeri; Emanuel Taropa; Paige Bailey; Zhifeng Chen; Eric Chu; Jonathan H. Clark; et al. (CoRR, 2023)

Analyzing Norm Violations in Live-Stream Chat - Jihyung Moon; Dong-Ho Lee; Hyundong Cho; Woojeong Jin; Chan Young Park; Minwoo Kim; Jonathan May; Jay Pujara; Sungjoon Park (CoRR, 2023)

Determinantal Point Process Attention Over Grid Codes Supports Out of Distribution Generalization - Shanka Subhra Mondal; Steven Frankland; Taylor W. Webb; Jonathan D. Cohen (CoRR, 2023)

Systematic Visual Reasoning through Object-Centric Relational Abstraction - Taylor W. Webb; Shanka Subhra Mondal; Jonathan D. Cohen (CoRR, 2023)

VarSaw: Application-tailored Measurement Error Mitigation for Variational Quantum Algorithms - Siddharth Dangwal; Gokul Subramanian Ravi; Poulami Das; Kaitlin N. Smith; Jonathan M. Baker; Frederic T. Chong (CoRR, 2023)

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation - Konstantinos Bousmalis; Giulia Vezzani; Dushyant Rao; Coline Devin; Alex X. Lee; Maria Bauzá; Todor Davchev; Yuxiang Zhou; Agrim Gupta; Akhil Raju; Antoine Laurens; Claudio Fantacci; et al. (CoRR, 2023)

Learning to Generate Better Than Your LLM - Jonathan D. Chang; Kianté Brantley; Rajkumar Ramamurthy; Dipendra Misra; Wen Sun (CoRR, 2023)

The science of fake news - David M. J. Lazer; Matthew A. Baum; Yochai Benkler; Adam J. Berinsky; Kelly M. Greenhill; Filippo Menczer; Miriam J. Metzger; Brendan Nyhan; Gordon Pennycook; David M. Rothschild; Michael Schudson; Steven A. Sloman; et al. (CoRR, 2023)

Virtual histological staining of unlabeled autopsy tissue - Yuzhu Li; Nir Pillar; Jingxi Li; Tairan Liu; Di Wu; Songyu Sun; Guangdong Ma; Kevin de Haan; Luzhe Huang; Sepehr Hamidi; Anatoly Urisman; Tal Keidar Haran; et al. (CoRR, 2023)

Incentivizing Gigaton-Scale Carbon Dioxide Removal via a Climate-Positive Blockchain - Jonathan Bachman; Sujit Chakravorti; Shantanu Rane; Krishnan Thyagarajan (CoRR, 2023)

The Sound Demixing Challenge 2023 - Cinematic Demixing Track - Stefan Uhlich; Giorgio Fabbro; Masato Hirano; Shusuke Takahashi; Gordon Wichern; Jonathan Le Roux; Dipam Chakraborty; Sharada P. Mohanty; Kai Li; Yi Luo; Jianwei Yu; Rongzhi Gu; et al. (CoRR, 2023)

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models - Neel Guha; Julian Nyarko; Daniel E. Ho; Christopher Ré; Adam Chilton; Aditya Narayana; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; et al. (CoRR, 2023)

CS-Mixer: A Cross-Scale Vision MLP Model with Spatial-Channel Mixing - Jonathan Cui; David A. Araujo; Suman Saha; Md Faisal Kabir (CoRR, 2023)

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision - Jianning Li; Antonio Pepe; Christina Gsaxner; Gijs Luijten; Yuan Jin; Narmada Ambigapathy; Enrico Nasca; Naida Solak; Gian Marco Melito; Afaque R. Memon; Xiaojun Chen; Jan Stefan Kirschke; et al. (CoRR, 2023)

Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models - Neha Sengupta; Sunil Kumar Sahu; Bokang Jia; Satheesh Katipomu; Haonan Li; Fajri Koto; Osama Mohammed Afzal; Samta Kamboj; Onkar Pandit; Rahul Pal; Lalit Pradhan; Zain Muhammad Mujahid; et al. (CoRR, 2023)

Njobvu-AI: An open-source tool for collaborative image labeling and implementation of computer vision models - Jonathan S. Koning; Ashwin Subramanian; Mazen Alotaibi; Cara L. Appel; Christopher M. Sullivan; Thon Chao; Lisa Truong; Robyn L. Tanguay; Pankaj Jaiswal; Taal Levi; Damon B. Lesmeister (CoRR, 2023)

AnthroNet: Conditional Generation of Humans via Anthropometrics - Francesco Picetti; Shrinath Deshpande; Jonathan Leban; Soroosh Shahtalebi; Jay Patel; Peifeng Jing; Chunpu Wang; Charles Metze III; Cameron Sun; Cera Laidlaw; James Warren; Kathy Huynh; et al. (CoRR, 2023)

Domain generalization across tumor types, laboratories, and species - insights from the 2022 edition of the Mitosis Domain Generalization Challenge - Marc Aubreville; Nikolas Stathonikos; Taryn A. Donovan; Robert Klopfleisch; Jonathan Ganz; Jonas Ammeling; Frauke Wilm; Mitko Veta; Samir Jabari; Markus Eckstein; Jonas Annuscheit; Christian Krumnow; et al. (CoRR, 2023)

Diff-DOPE: Differentiable Deep Object Pose Estimation - Jonathan Tremblay; Bowen Wen; Valts Blukis; Balakumar Sundaralingam; Stephen Tyree; Stan Birchfield (CoRR, 2023)

Efficient Video and Audio processing with Loihi 2 - Sumit Bam Shrestha; Jonathan Timcheck; Edward Paxon Frady; Leobardo Campos-Macias; Mike Davies (CoRR, 2023)

Benchmarking a foundation LLM on its ability to re-label structure names in accordance with the AAPM TG-263 report - Jason Holmes; Lian Zhang; Yuzhen Ding; Hongying Feng; Zhengliang Liu; Tianming Liu; William W. Wong; Sujay A. Vora; Jonathan B. Ashman; Wei Liu (CoRR, 2023)

Reducing Detailed Vehicle Energy Dynamics to Physics-Like Models - Nour Khoudari; Sulaiman Almatrudi; Rabie Ramadan; Joy Carpio; Mengsha Yao; Kenneth Butts; Alexandre M. Bayen; Jonathan W. Lee; Benjamin Seibold (CoRR, 2023)

PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses - Chong Xiang; Tong Wu; Sihui Dai; Jonathan Petit; Suman Jana; Prateek Mittal (CoRR, 2023)

Domain-specific optimization and diverse evaluation of self-supervised models for histopathology - Jeremy Lai; Faruk Ahmed; Supriya Vijay; Tiam Jaroensri; Jessica Loo; Saurabh Vyawahare; Saloni Agarwal; Fayaz Jamil; Yossi Matias; Gregory S. Corrado; Dale R. Webster; Jonathan Krause; et al. (CoRR, 2023)

ChipNeMo: Domain-Adapted LLMs for Chip Design - Mingjie Liu; Teodor-Dumitru Ene; Robert Kirby; Chris Cheng; Nathaniel Ross Pinckney; Rongjian Liang; Jonah Alben; Himyanshu Anand; Sanmitra Banerjee; Ismet Bayraktaroglu; Bonita Bhaskaran; Bryan Catanzaro; et al. (CoRR, 2023)

SEMQA: Semi-Extractive Multi-Source Question Answering - Tal Schuster; Ádám D. Lelkes; Haitian Sun; Jai Gupta; Jonathan Berant; William W. Cohen; Donald Metzler (CoRR, 2023)

Cooperative AI via Decentralized Commitment Devices - Xinyuan Sun; Davide Crapis; Matt Stephenson; Barnabé Monnot; Thomas Thiery; Jonathan Passerat-Palmbach (CoRR, 2023)

Security in Drones - Jonathan Morgan; Julio Perez; Jordan Wade; Sundar Krishnan (CoRR, 2023)

Gradual Verification for Smart Contracts - Haojia Sun; Kunal Singh; Jan-Paul Ramos-Dávila; Jonathan Aldrich; Jenna DiVincenzo (CoRR, 2023)

Improving Minority Stress Detection with Emotions - Jonathan Ivey; Susan Gauch (CoRR, 2023)

MatterGen: a generative model for inorganic materials design - Claudio Zeni; Robert Pinsler; Daniel Zügner; Andrew Fowler; Matthew Horton; Xiang Fu; Sasha Shysheya; Jonathan Crabbé; Lixin Sun; Jake Smith; Ryota Tomioka; Tian Xie (CoRR, 2023)

Certifying Zero-Knowledge Circuits with Refinement Types - Junrui Liu; Ian Kretz; Hanzhi Liu; Bryan Tan; Jonathan Wang; Yi Sun; Luke Pearson; Anders Miltner; Isil Dillig; Yu Feng (IACR Cryptol. ePrint Arch., 2023)

Supervised Learning Grant Prediction for Cellular Mobile Device Power Savings - Jonathan Ah Sue (University of Erlangen-Nuremberg, Germany, 2022)

A Secure Blockchain Platform for Supporting AI-Enabled IoT Applications at the Edge Layer - Subhi Alrubei; Edward A. Ball; Jonathan Michael Rigelsford (IEEE Access, 2022)

Circuit Analysis of a Coplanar Waveguide (CPW) Terminated With a Step-Impedance Resonator (SIR) for Highly Sensitive One-Port Permittivity Sensing - Pau Casacuberta; Paris Vélez; Jonathan Muñoz-Enano; Lijuan Su; Marta Gil-Barba; Amir Ebrahimi; Ferran Martín (IEEE Access, 2022)

A graph attention network for road marking classification from mobile LiDAR point clouds - Lina Fang; Tongtong Sun; Shuang Wang; Hongchao Fan; Jonathan Li (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Automated extraction of building instances from dual-channel airborne LiDAR point clouds - Huifang Feng; Yiping Chen; Zhipeng Luo; Wentao Sun; Wen Li; Jonathan Li (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Combining spatial response features and machine learning classifiers for landslide susceptibility mapping - Ruilong Wei; Chengming Ye; Tianbo Sui; Yonggang Ge; Yao Li; Jonathan Li (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Perspectives on the system-level design of a safe autonomous driving stack - Majd Hawasly; Jonathan Sadeghi; Morris Antonello; Stefano V. Albrecht; John Redford; Subramanian Ramamoorthy (AI Commun., 2022)

Unsupervised outlier detection applied to SARS-CoV-2 nucleotide sequences can identify sequences of common variants and other variants of interest - Georg Hahn; Sanghun Lee; Dmitry Prokopenko; Jonathan Abraham; Tanya Novak; Julian Hecker; Michael H. Cho; Surender Khurana; Lindsey R. Baden; Adrienne G. Randolph; Scott T. Weiss; Christoph Lange (BMC Bioinform., 2022)

The impact of visualization paradigms on the detectability of spatial misalignment in mixed reality surgical guidance - Wenhao Gu; Alejandro Martin-Gomez; Sue Min Cho; Greg Osgood; Bert Bracke; Chad Josewski; Jonathan Knopf; Mathias Unberath (Int. J. Comput. Assist. Radiol. Surg., 2022)

HDPoA: Honesty-based distributed proof of authority via scalable work consensus protocol for IoT-blockchain applications - Subhi Alrubei; Edward A. Ball; Jonathan Michael Rigelsford (Comput. Networks, 2022)

Infants' Attributions of Insides and Animacy in Causal Interactions - Jonathan F. Kominsky; Yiping Li; Susan Carey (Cogn. Sci., 2022)

Towards Indistinguishable Augmented Reality: A Survey on Optical See-through Head-mounted Displays - Yuta Itoh; Tobias Langlotz; Jonathan Sutton; Alexander Plopski (ACM Comput. Surv., 2022)

A machine learning algorithm-based approach (MaxEnt) for predicting invasive potential of Trioza erytreae on a global scale - Owusu Fordjour Aidoo; Philipe Guilherme Corcino Souza; Ricardo Siqueira da Silva; Paulo Antonio Santana Júnior; Marcelo Coutinho Picanço; Jonathan Osei-Owusu; Mamoudou Sétamou; Sunday Ekesi; Christian Borgemeister (Ecol. Informatics, 2022)

A Survey on Security Threats and Countermeasures in Internet of Medical Things (IoMT) - Maria Papaioannou; Marina Karageorgou; Georgios Mantas; Victor Sucasas; Ismael Essop; Jonathan Rodriguez; Dimitrios K. Lymberopoulos (Trans. Emerg. Telecommun. Technol., 2022)

Saltwater-responsive bubble artificial muscles using superabsorbent polymers - Daniel Gosden; Richard Suphapol Diteesawat; Matthew Studley; Jonathan Rossiter (Frontiers Robotics AI, 2022)

An Intelligence Architecture for Grounded Language Communication with Field Robots - Thomas M. Howard; Ethan Stump; Jonathan Fink; Jacob Arkin; Rohan Paul; Daehyung Park; Subhro Roy; Daniel Barber; Rhyse Bendell; Karl Schmeckpeper; Junjiao Tian; Jean Oh; et al. (Field Robotics, 2022)

An autoencoder-based deep learning method for genotype imputation - Meng Song; Jonathan Greenbaum; Joseph Luttrell IV; Weihua Zhou; Chong Wu; Zhe Luo; Chuan Qiu; Lan Juan Zhao; Kuan-Jui Su; Qing Tian; Hui Shen; Huixiao Hong; et al. (Frontiers Artif. Intell., 2022)

Readability Research: An Interdisciplinary Approach - Sofie Beier; Sam Berlow; Esat Boucaud; Zoya Bylinskii; Tianyuan Cai; Jenae Cohn; Kathy Crowley; Stephanie L. Day; Tilman Dingler; Jonathan Dobres; Jennifer Healey; Rajiv Jain; et al. (Found. Trends Hum. Comput. Interact., 2022)

Human-Computer Integration: Towards Integrating the Human Body with the Computational Machine - Florian 'Floyd' Mueller; Nathan Arthur Semertzidis; Josh Andres; Martin Weigel; Suranga Nanayakkara; Rakesh Patibanda; Zhuying Li; Paul Strohmeier; Jarrod Knibbe; Stefan Greuter; Marianna Obrist; Pattie Maes; et al. (Found. Trends Hum. Comput. Interact., 2022)

Real-time and post-hoc compression for data from Distributed Acoustic Sensing - Bin Dong; Alex Popescu; Verónica Rodríguez Tribaldos; Suren Byna; Jonathan Ajo-Franklin; Kesheng Wu (Comput. Geosci., 2022)

A web-based comprehensive head and neck cancer patient education and support needs program: Usability testing - Joe Jabbour; Haryana M. Dhillon; Heather L. Shepherd; Puma Sundaresan; Chris Milross; Jonathan R. Clark (Health Informatics J., 2022)

Patients' use of smartphone apps for health record access in 2019: A cross-sectional study - Oliver T. Nguyen; Chelsea P. Renfro; Jonathan Hughes; Sajeesh Kumar; Amir Alishahi Tabriz; Young-Rock Hong; Karim Hanna; Sue S. Feldman; David M. Schlossman; Kea Turner (Int. J. Medical Informatics, 2022)

Quantification and Mitigation of Directional Pairwise Class Confusion Bias in a Chatbot Intent Classification Model - Sudhashree Sayenju; Ramazan Aygun; Jonathan Boardman; Duleep Prasanna Rathgamage Don; Yifan Zhang; Bill Franks; Sereres Johnston; George Lee; Dan Sullivan; Girish Modgil (Int. J. Semantic Comput., 2022)

SIGCHI at 40: celebrations and aspirations - Andrew L. Kun; Elizabeth F. Churchill; Tamara L. Clegg; Jonathan Grudin; Kristina Höök; Daria Loi; Yolanda A. Rankin; Elizabeth Rosenzweig; Kentaro Toyama; Susan Dray (Interactions, 2022)

The Use of Blockchain to Support Distributed AI Implementation in IoT Systems - Subhi Alrubei; Edward Ball; Jonathan Michael Rigelsford (IEEE Internet Things J., 2022)

Clinician collaboration to improve clinical decision support: the Clickbusters initiative - Allison B. McCoy; Elise M. Russo; Kevin B. Johnson; Bobby Addison; Neal Patel; Jonathan P. Wanderer; Dara Eckerle Mize; Jon G. Jackson; Thomas J. Reese; Sylinda Littlejohn; Lorraine Patterson; Tina French; et al. (J. Am. Medical Informatics Assoc., 2022)

RDscan: A New Method for Improving Germline and Somatic Variant Calling Based on Read Depth Distribution - Sunho Lee; Seokchol Hong; Jonathan Woo; Jae-hak Lee; Kyunghee Kim; Lucia Kim; Kunsoo Park; Jongsun Jung (J. Comput. Biol., 2022)

Collaborative Development of a PACS-Integrated Quality Control Dashboard: a Single Institutional Experience - Jonathan D. Pierce; Vijaya Kosaraju; Beverly Rosipko; Jeffrey L. Sunshine; Ian Judd; Jennifer Sommer (J. Digit. Imaging, 2022)

An autonomous robot for shell and tube heat exchanger inspection - Bujingda Zheng; Jheng-Wun Su; Yunchao Xie; Jonathan Miles; Hong Wang; Wenxin Gao; Ming Xin; Jian Lin (J. Field Robotics, 2022)

Testing Whether a Learning Procedure is Calibrated - Jon Cockayne; Matthew M. Graham; Chris J. Oates; Timothy John Sullivan; Onur Teymur (J. Mach. Learn. Res., 2022)

Underspecification Presents Challenges for Credibility in Modern Machine Learning - Alexander D'Amour; Katherine A. Heller; Dan Moldovan; Ben Adlam; Babak Alipanahi; Alex Beutel; Christina Chen; Jonathan Deaton; Jacob Eisenstein; Matthew D. Hoffman; Farhad Hormozdiari; Neil Houlsby; et al. (J. Mach. Learn. Res., 2022)

FLD-SRC: Fingerprint Liveness Detection for AFIS Based on Spatial Ridges Continuity - Chengsheng Yuan; Peipeng Yu; Zhihua Xia; Xingming Sun; Q. M. Jonathan Wu (IEEE J. Sel. Top. Signal Process., 2022)

LMISA: A lightweight multi-modality image segmentation network via domain adaptation using gradient magnitude and shape constraint - Mina Jafari; Susan T. Francis; Jonathan M. Garibaldi; Xin Chen (Medical Image Anal., 2022)

DQAgui: a graphical user interface for the MIRACUM data quality assessment tool - Jonathan Mang; Susanne Andrea Seuchter; Christian Gulden; Stefanie Schild; Detlef Kraska; Hans-Ulrich Prokosch; Lorenz A. Kapsner (BMC Medical Informatics Decis. Mak., 2022)

Ensembl 2022 - Fiona Cunningham; James E. Allen; Jamie Allen; Jorge Álvarez-Jarreta; M. Ridwan Amode; Irina M. Armean; Olanrewaju Austine-Orimoloye; Andrey G. Azov; If Barnes; Ruth Bennett; Andrew E. Berry; Jyothish Bhai; et al. (Nucleic Acids Res., 2022)

Expression Atlas update: gene and protein expression in multiple species - Pablo A. Moreno; Silvie Fexova; Nancy George; Jonathan R. Manning; Zhichao Miao; Suhaib Mohammed; Alfonso Muñoz-Pomer Fuentes; Anja Füllgrabe; Yalan Bi; Natassja Bush; Haider Iqbal; Upendra Kumbham; et al. (Nucleic Acids Res., 2022)

Biological underpinnings for lifelong learning machines - Dhireesha Kudithipudi; Mario Aguilar-Simon; Jonathan Babb; Maxim Bazhenov; Douglas Blackiston; Josh C. Bongard; Andrew P. Brna; Suraj Chakravarthi Raja; Nick Cheney; Jeff Clune; Anurag Reddy Daram; Stefano Fusi; et al. (Nat. Mach. Intell., 2022)

Identifying patterns in amyotrophic lateral sclerosis progression from sparse longitudinal data - Divya Ramamoorthy; Kristen Severson; Soumya Ghosh; Karen Sachs; Emily G. Baxi; Alyssa N. Coyne; Elizabeth Mosmiller; Lindsey Hayes; Aianna Cerezo; Omar Ahmad; Promit Roy; Steven Zeiler; et al. (Nat. Comput. Sci., 2022)

Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets - Jia Zhao; Gefei Wang; Jingsi Ming; Zhixiang Lin; Yang Wang; Snigdha Agarwal; Aditi Agrawal; Ahmad Al-Moujahed; Alina Alam; Megan A. Albertelli; Paul Allegakoen; Thomas Ambrosi; et al. (Nat. Comput. Sci., 2022)

Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI - Chiara Maffei; Gabriel Girard; Kurt G. Schilling; Dogu Baran Aydogan; Nagesh Adluru; Andrey Zhylka; Ye Wu; Matteo Mancini; Andac Hamamci; Alessia Sarica; Achille Teillac; Steven H. Baete; et al. (NeuroImage, 2022)

Association between carotid atherosclerosis and brain activation patterns during the Stroop task in older adults: An fNIRS investigation - Sarah A. Mason; Lamia Al Saikhan; Siana Jones; Sarah-Naomi James; Heidi Murray-Smith; Alicja Rapala; Suzanne Williams; Carole H. Sudre; Brian Wong; Marcus Richards; Nick C. Fox; Rebecca Hardy; et al. (NeuroImage, 2022)

A comparison of methods to harmonize cortical thickness measurements across scanners and sites - Delin Sun; Gopalkumar Rakesh; Courtney C. Haswell; Mark W. Logue; C. Lexi Baird; Erin O'Leary; Andrew S. Cotton; Hong Xie; Marijo B. Tamburrino; Tian Chen; Emily L. Dennis; Neda Jahanshad; et al. (NeuroImage, 2022)

SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI - Qiyuan Tian; Ziyu Li; Qiuyun Fan; Jonathan R. Polimeni; Berkin Bilgic; David H. Salat; Susie Yi Huang (NeuroImage, 2022)

2022 roadmap on neuromorphic computing and engineering - Dennis V. Christensen; Regina Dittmann; Bernabé Linares-Barranco; Abu Sebastian; Manuel Le Gallo; Andrea Redaelli; Stefan Slesazeck; Thomas Mikolajick; Sabina Spiga; Stephan Menzel; Ilia Valov; Gianluca Milano; et al. (Neuromorph. Comput. Eng., 2022)

Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting - Axel Wismüller; Adora M. DSouza; Anas Z. Abidin; M. Ali Vosoughi; Christopher Gange; Isabel O. Cortopassi; Gracijela Bozovic; Alexander A. Bankier; Kiran Batra; Yosef Chodakiewitz; Yin Xi; Christopher T. Whitlow; et al. (npj Digit. Medicine, 2022)

Quality assuring the quality assurance tool: applying safety-critical concepts to test framework development - Jonathan Thörn; Per Erik Strandberg; Daniel Sundmark; Wasif Afzal (PeerJ Comput. Sci., 2022)

Optimal noise level for coding with tightly balanced networks of spiking neurons in the presence of transmission delays - Jonathan Timcheck; Jonathan Kadmon; Kwabena Boahen; Surya Ganguli (PLoS Comput. Biol., 2022)

Ten simple rules for getting started with statistics in graduate school - Rachel A. Zitomer; Jessica Karr; Mark Kerstens; Lindsey Perry; Kayla Ruth; Lindsay Adrean; Suzanne Austin; Jamie Cornelius; Jonathan Dachenhaus; Jonathan Dinkins; Alan Harrington; Hankyu Kim; et al. (PLoS Comput. Biol., 2022)

Tropospheric and Surface Nitrogen Dioxide Changes in the Greater Toronto Area during the First Two Years of the COVID-19 Pandemic - Xiaoyi Zhao; Vitali Fioletov; Ramina Alwarda; Yushan Su; Debora Griffin; Dan Weaver; Kimberly Strong; Alexander Cede; Thomas Hanisco; Martin Tiefengraber; Chris Anthony McLinden; Henk Eskes; et al. (Remote. Sens., 2022)

A Systematic Review of Voice Assistant Usability: An ISO 9241-11 Approach - Lawal Ibrahim Faruk Dutsinma; Debajyoti Pal; Suree Funilkul; Jonathan H. Chan (SN Comput. Sci., 2022)

MFFFLD: A Multimodal-Feature-Fusion-Based Fingerprint Liveness Detection - Chengsheng Yuan; Shengming Jiao; Xingming Sun; Q. M. Jonathan Wu (IEEE Trans. Cogn. Dev. Syst., 2022)

Multimodal Vigilance Estimation Using Deep Learning - Wei Wu; Wei Sun; Q. M. Jonathan Wu; Yimin Yang; Hui Zhang; Wei-Long Zheng; Bao-Liang Lu (IEEE Trans. Cybern., 2022)

Hierarchical Denoising of Ordinal Time Series of Clinical Scores - Jonathan Koss; Sule Tinaz; Hemant D. Tagare (IEEE J. Biomed. Health Informatics, 2022)

A Comparison of Wearable Tonometry, Photoplethysmography, and Electrocardiography for Cuffless Measurement of Blood Pressure in an Ambulatory Setting - Rebecca Mieloszyk; Hope Twede; Jonathan Lester; Jeremiah Wander; Sumit Basu; Gabe Cohn; Greg Smith; Dan Morris; Sidhant Gupta; Desney S. Tan; Nicolas Villar; Moni Wolf; et al. (IEEE J. Biomed. Health Informatics, 2022)

High-Capacity Steganography Using Object Addition-Based Cover Enhancement for Secure Communication in Networks - Ruohan Meng; Qi Cui; Zhili Zhou; Zhetao Li; Q. M. Jonathan Wu; Xingming Sun (IEEE Trans. Netw. Sci. Eng., 2022)

Dynamic QoS-Aware Traffic Planning for Time-Triggered Flows in the Real-Time Data Plane - Jonathan Falk; Heiko Geppert; Frank Dürr; Sukanya Bhowmik; Kurt Rothermel (IEEE Trans. Netw. Serv. Manag., 2022)

Seeing Colours: Addressing Colour Vision Deficiency with Vision Augmentations using Computational Glasses - Jonathan Sutton; Tobias Langlotz; Alexander Plopski (ACM Trans. Comput. Hum. Interact., 2022)

Kokkos 3: Programming Model Extensions for the Exascale Era - Christian R. Trott; Damien Lebrun-Grandié; Daniel Arndt; Jan Ciesko; Vinh Q. Dang; Nathan D. Ellingwood; Rahulkumar Gayatri; Evan Harvey; Daisy S. Hollman; Dan Ibanez; Nevin Liber; Jonathan R. Madsen; et al. (IEEE Trans. Parallel Distributed Syst., 2022)

Model-Based and Graph-Based Priors for Group Testing - Ivan Lau; Jonathan Scarlett; Yang Sun (IEEE Trans. Signal Process., 2022)

HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation - Subeesh Vasu; Nicolas Talabot; Artem Lukoianov; Pierre Baqué; Jonathan Donier; Pascal Fua (International Conference on 3D Vision, 3DV 2022, Prague, Czech Republic, September 12-16, 2022, 2022)

Clinical Staff EHR Usability and Satisfaction: Preliminary Results of A Multi-Site, Pre-Post Implementation Evaluation - Courtney J. Diamond; Rachel Y. Lee; Jonathan Elias; Haomiao Jia; Erika L. Abramson; Jessica S. Ancker; Susan B. Bostwick; Kenrick Cato; Sarah Collins Rossetti (AMIA 2022, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 5-9, 2022, 2022)

Virtual Visits in Pediatric Orthopaedic Conditions: An Evaluation of Patient Satisfaction and Areas of Improvement Compared to In-Person Visits - Ahmed K. Emara; Assem Sultan; Dominic King; Jonathan L. Schaffer; Xuankang Pan; Thomas Kuivila; Ryan Goodwin (AMIA 2022, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 5-9, 2022, 2022)

Blockchain Technology as A Guarantee of Transparency in The Supply Chain of Commercial Enterprises - Jonathan Lenge; Kaninda Musumbu; Geisla Wanuku; Pascal Sungu (ASSE 2022: 3rd Asia Service Sciences and Software Engineering Conference, Macao, February 24 - 26, 2022, 2022)

Psychosis iREACH: Reach for Psychosis Treatment using Artificial Intelligence - Jonathan Lee; Sarah Kopelovich; Sunny Chieh Cheng; Dong Si (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, Las Vegas, NV, USA, December 6-8, 2022, 2022)

Designing Urban Participation Platforms - Model for Goal-oriented Classification of Participation Mechanisms - Pascal Abel; Ricarda Schlimbach; Valentin Glimmann; Jonathan Schwarz; Martin Simon; Susanne Robra-Bissantz (35th Bled eConference - Digital Restructuring and Human (Re)action, June 26 - 29, 2022, Bled, Slovenia, Conference, Proceedings, 2022)

Risk Estimation for a Secure & Usable User Authentication Mechanism for Mobile Passenger ID Devices - Maria Papaioannou; Georgios Mantas; Aliyah Essop; Victor Sucasas; Najwa Aaraj; Jonathan Rodriguez (27th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2022, Paris, France, November 2-3, 2022, 2022)

OpenFHE: Open-Source Fully Homomorphic Encryption Library - Ahmad Al Badawi; Jack Bates; Flávio Bergamaschi; David Bruce Cousins; Saroja Erabelli; Nicholas Genise; Shai Halevi; Hamish Hunt; Andrey Kim; Yongwoo Lee; Zeyu Liu; Daniele Micciancio; et al. (Proceedings of the 10th Workshop on Encrypted Computing & Applied Homomorphic Cryptography, Los Angeles, CA, USA, 7 November 2022, 2022)

SilentSpeller: Towards mobile, hands-free, silent speech text entry using electropalatography - Naoki Kimura; Tan Gemicioglu; Jonathan Womack; Richard Li; Yuhui Zhao; Abdelkareem Bedri; Zixiong Su; Alex Olwal; Jun Rekimoto; Thad Starner (CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022 - 5 May 2022, 2022)

Metaverse as A Future of Education: A Systematic Review - Leonard Zonaphan; Karin Northus; Jonathan Wijaya; Said Achmad; Rhio Sutoyo (8th International HCI and UX Conference in Indonesia, CHIuXiD 2022, Bali, Indonesia, November 19, 2022, 2022)

Network measurement methods for locating and examining censorship devices - Ram Sundara Raman; Mona Wang; Jakub Dalek; Jonathan R. Mayer; Roya Ensafi (Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies, CoNEXT 2022, Roma, Italy, December 6-9, 2022, 2022)

HMIway-env: A Framework for Simulating Behaviors and Preferences to Support Human-AI Teaming in Driving - Deepak E. Gopinath; Jonathan A. DeCastro; Guy Rosman; Emily Sumner; Allison Morgan; Shabnam Hakimi; Simon Stent (IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2022, New Orleans, LA, USA, June 19-20, 2022, 2022)

Ego4D: Around the World in 3, 000 Hours of Egocentric Video - Kristen Grauman; Andrew Westbury; Eugene Byrne; Zachary Chavis; Antonino Furnari; Rohit Girdhar; Jackson Hamburger; Hao Jiang; Miao Liu; Xingyu Liu; Miguel Martin; Tushar Nagarajan; et al. (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

Material Swapping for 3D Scenes using a Learnt Material Similarity Measure - Maxine Perroni-Scharf; Kalyan Sunkavalli; Jonathan Eisenmann; Yannick Hold-Geoffroy (IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2022, New Orleans, LA, USA, June 19-20, 2022, 2022)

Improved Domain Generalization via Disentangled Multi-Task Learning in Unsupervised Anomalous Sound Detection - Satvik Venkatesh; Gordon Wichern; Aswin Shanmugam Subramanian; Jonathan Le Roux (Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, DCASE 2022, Nancy, France, November 3-4, 2022, 2022)

Exploring Community Needs for Disaster Shelters Using Cultural Probes - Aarjav Chauhan; Jasmine Yiyuan Qin; Jonathan Sury; Robert Soden (COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, Seattle, WA, USA, 29 June 2022 - 1 July 2022, 2022)

Reimagining a New Transformation of Digital Forensic Accounting: Strategic Analysis of the Use of Big Data Analytics in the Covid-19 Pandemic Era as an Opportunity for the Industries in Indonesia - Kevin Deniswara; Archie Nathanael Mulyawan; Jonathan Theodore Kesuma; Bernadeta Susilo Martanti (DSDE 2022: The 5th International Conference on Data Storage and Data Engineering, Sanya, China, February 25 - 27, 2022, 2022)

Scalable Composition and Analysis Techniques for Massive Scientific Workflows - Dong H. Ahn; Xiaohua Zhang; Jeffrey Mast; Stephen Herbein; Francesco Di Natale; Dan Kirshner; Sam Ade Jacobs; Ian Karlin; Daniel J. Milroy; Bronis R. de Supinski; Brian Van Essen; Jonathan E. Allen; et al. (18th IEEE International Conference on e-Science, e-Science 2022, Salt Lake City, UT, USA, October 11-14, 2022, 2022)

Using AI, ML and Sentiment Analysis to Increase Diversity and Equity in Technology Training and Careers - Jonathan Young; Sue Black; Alexandra I. Cristea; Ryan Hodgson; Cristina Todor (Proceedings of the 15th International Conference on Educational Data Mining, EDM 2022, Durham, UK, July 24-27, 2022, 2022)

Overcoming Facial Paralysis with an Implantable Actuator for Restoration of Blink - Jacinta D. Cleary; Orsolya Kékesi; Shaheen Hasmat; Tsu-Hui Hubert Low; Nigel H. Lovell; Jonathan R. Clark; Gregg J. Suaning (44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2022, Glasgow, Scotland, United Kingdom, July 11-15, 2022, 2022)

Investigating the Benefits of Free-Form Rationales - Jiao Sun; Swabha Swayamdipta; Jonathan May; Xuezhe Ma (Findings of the Association for Computational Linguistics: EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022, 2022)

Teaching Computational Thinking and Spatial Visualization in K-12 with 3D Weather Visualizations - Mahnas Jean Mohammadi-Aragh; Yan Sun; Jamie L. Dyer; Jonathan G. Harris; Chase A. Robinson; Mengni Bai; Jolie K. Kavanagh; Kimberly E. Ball (IEEE Frontiers in Education Conference, FIE 2022, Uppsala, Sweden, October 8-11, 2022, 2022)

The Role of IT Background for Metacognitive Accuracy, Confidence and Overestimation of Deep Fake Recognition Skills - Stefan Sütterlin; Ricardo Gregorio Lugo; Torvald F. Ask; Karl Veng; Jonathan Eck; Jonas Fritschi; Muhammed-Talha Özmen; Basil Bärreiter; Benjamin J. Knox (Augmented Cognition - 16th International Conference, AC 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Virtual Event, June 26 - July 1, 2022, Proceedings, 2022)

Semi-supervised Hierarchical Classification Based on Local Information - Jonathan Serrano-Pérez; Luis Enrique Sucar (Advances in Artificial Intelligence - IBERAMIA 2022 - 17th Ibero-American Conference on AI, Cartagena de Indias, Colombia, November 23-25, 2022, Proceedings, 2022)

Data-Driven Algorithms for Gaussian Measurement Matrix Design in Compressive Sensing - Yang Sun; Jonathan Scarlett (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, Virtual and Singapore, 23-27 May 2022, 2022)

IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C) - Giuseppe Stragapede; Rubén Vera-Rodríguez; Ruben Tolosana; Aythami Morales; Julian Fiérrez; Javier Ortega-Garcia; Sanka Rasnayaka; Sachith Seneviratne; Vipula Dissanayake; Jonathan Liebers; Ashhadul Islam; Samir Brahim Belhaouari; et al. (IEEE International Joint Conference on Biometrics, IJCB 2022, Abu Dhabi, United Arab Emirates, October 10-13, 2022, 2022)

Modelling and control of a tethered drone for an AWE application - Zakeye Azaki; Jonathan Dumon; Nacim Meslem; Ahmad Hably; Pierre Susbielle (International Conference on Control, Automation and Diagnosis, ICCAD 2022, Lisbon, Portugal, July 13-15, 2022, 2022)

Trellis-Coded Quantization for End-to-End Learned Image Compression - Karsten Sühring; Michael Schäfer; Jonathan Pfaff; Heiko Schwarz; Detlev Marpe; Thomas Wiegand (2022 IEEE International Conference on Image Processing, ICIP 2022, Bordeaux, France, 16-19 October 2022, 2022)

Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation - Todor Davchev; Oleg Olegovich Sushkov; Jean-Baptiste Regli; Stefan Schaal; Yusuf Aytar; Markus Wulfmeier; Jon Scholz (The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 2022)

Generative Principal Component Analysis - Zhaoqiang Liu; Jiulong Liu; Subhroshekhar Ghosh; Jun Han; Jonathan Scarlett (The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 2022)

Multitask Prompted Training Enables Zero-Shot Task Generalization - Victor Sanh; Albert Webson; Colin Raffel; Stephen H. Bach; Lintang Sutawika; Zaid Alyafeai; Antoine Chaffin; Arnaud Stiegler; Arun Raja; Manan Dey; M Saiful Bari; Canwen Xu; et al. (The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 2022)

Learning Bellman Complete Representations for Offline Policy Evaluation - Jonathan D. Chang; Kaiwen Wang; Nathan Kallus; Wen Sun (International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022)

Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval - Pascal Notin; Mafalda Dias; Jonathan Frazer; Javier Marchena-Hurtado; Aidan N. Gomez; Debora S. Marks; Yarin Gal (International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022)

Towards Safe, Realistic Testbed for Robotic Systems with Human Interaction - Bhoram Lee; Jonathan Brookshire; Rhys Yahata; Supun Samarasekera (2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022, 2022)

ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation - Chuangchuang Sun; Dong-Ki Kim; Jonathan P. How (2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022, 2022)

Offline Meta-Reinforcement Learning for Industrial Insertion - Tony Z. Zhao; Jianlan Luo; Oleg Sushkov; Rugile Pevceviciute; Nicolas Heess; Jon Scholz; Stefan Schaal; Sergey Levine (2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022, 2022)

Quancorde: Boosting fidelity with Quantum Canary Ordered Diverse Ensembles - Gokul Subramanian Ravi; Jonathan M. Baker; Kaitlin N. Smith; Nathan Earnest; Ali Javadi-Abhari; Frederic T. Chong (IEEE International Conference on Rebooting Computing, ICRC 2022, San Francisco, CA, USA, December 8-9, 2022, 2022)

Reflective-Mode Phase-Variation Permittivity Sensors Based on Coupled Resonators - Pau Casacuberta; Paris Vélez; Jonathan Muñoz-Enano; Lijuan Su; Marta Gil; Ferran Martín (2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022)

Reflective-Mode Submersible Microwave Sensor - Lijuan Su; Pau Casacuberta; Paris Vélez; Jonathan Muñoz-Enano; Marta Gil; Ferran Martín (2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022)

Respect the ORIGIN!: a best-case evaluation of connection coalescing in the wild - Sudheesh Singanamalla; Muhammad Talha Paracha; Suleman Ahmad; Jonathan Hoyland; Luke Valenta; Yevgen Safronov; Peter Wu; Andrew Galloni; Kurtis Heimerl; Nick Sullivan; Christopher A. Wood; Marwan Fayed (Proceedings of the 22nd ACM Internet Measurement Conference, IMC 2022, Nice, France, October 25-27, 2022, 2022)

Heterogeneous Target Speech Separation - Efthymios Tzinis; Gordon Wichern; Aswin Shanmugam Subramanian; Paris Smaragdis; Jonathan Le Roux (23rd Annual Conference of the International Speech Communication Association, Interspeech 2022, Incheon, Korea, September 18-22, 2022, 2022)

Explainability Audit: An Automated Evaluation of Local Explainability in Rooftop Image Classification - Duleep Rathgamage Don; Jonathan Boardman; Sudhashree Sayenju; Ramazan Aygun; Yifan Zhang; Bill Franks; Sereres Johnston; George Lee; Dan Sullivan; Girish Modgil (23rd IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2022, San Diego, CA, USA, August 9-11, 2022, 2022)

A Soft Fabric-based Shrink-to-fit Pneumatic Sleeve for Comfortable Limb Assistance - Richard Suphapol Diteesawat; Sam Hoh; Emanuele Pulvirenti; Nahian Rahman; Leah Morris; Ailie J. Turton; Mary Cramp; Jonathan Rossiter (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, October 23-27, 2022, 2022)

Measuring the Interaction of Conflict-Minimizing and Goal-Seeking Motor Imperatives in Autism Spectrum Disorder - Sundararaman Rengarajan; Jonathan Cannon; Brendan Baron; Naren Mohan; Leanne Chukoskie (Simulation and Gaming for Social Impact: 53rd International Simulation and Gaming Association Conference, ISAGA 2022, Boston, MA, USA, July 11-14, 2022, Revised Selected Papers, 2022)

A 5-nm 254-TOPS/W 221-TOPS/mm\(^2\) Fully-Digital Computing-in-Memory Macro Supporting Wide-Range Dynamic-Voltage-Frequency Scaling and Simultaneous MAC and Write Operations - Hidehiro Fujiwara; Haruki Mori; Wei-Chang Zhao; Mei-Chen Chuang; Rawan Naous; Chao-Kai Chuang; Takeshi Hashizume; Dar Sun; Chia-Fu Lee; Kerem Akarvardar; Saman Adham; Tan-Li Chou; et al. (IEEE International Solid-State Circuits Conference, ISSCC 2022, San Francisco, CA, USA, February 20-26, 2022, 2022)

An 8-Mb DC-Current-Free Binary-to-8b Precision ReRAM Nonvolatile Computing-in-Memory Macro using Time-Space-Readout with 1286.4-21.6TOPS/W for Edge-AI Devices - Je-Min Hung; Yen-Hsiang Huang; Sheng-Po Huang; Fu-Chun Chang; Tai-Hao Wen; Chin-I Su; Win-San Khwa; Chung-Chuan Lo; Ren-Shuo Liu; Chih-Cheng Hsieh; Kea-Tiong Tang; Yu-Der Chih; et al. (IEEE International Solid-State Circuits Conference, ISSCC 2022, San Francisco, CA, USA, February 20-26, 2022, 2022)

TExSS 22: Transparency and Explanations in Smart Systems - Tsvi Kuflik; Jonathan Dodge; Styliani Kleanthous Loizou; Brian Y. Lim; Carina Negreanu; Avital Shulner-Tal; Simone Stumpf (IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22 - 25, 2022 - Companion Volume, 2022)

Effects of Internal and External Conditions on Strategies of Self-regulated Learning: A Learning Analytics Study - Namrata Srivastava; Yizhou Fan; Mladen Rakovic; Shaveen Singh; Jelena Jovanovic; Joep van der Graaf; Lyn Lim; Surya Surendrannair; Jonathan Kilgour; Inge Molenaar; Maria Bannert; Johanna D. Moore; et al. (LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21 - 25, 2022, 2022)

Adding Hardware Security into IoT-Blockchain Platforms - Subhi Alrubei; Edward A. Ball; Jonathan Michael Rigelsford (IEEE Latin-American Conference on Communications, LATINCOM 2022, Rio de Janeiro, Brazil, November 30 - Dec. 2, 2022, 2022)

UniMorph 4.0: Universal Morphology - Khuyagbaatar Batsuren; Omer Goldman; Salam Khalifa; Nizar Habash; Witold Kieras; Gábor Bella; Brian Leonard; Garrett Nicolai; Kyle Gorman; Yustinus Ghanggo Ate; Maria Ryskina; Sabrina J. Mielke; et al. (Proceedings of the Thirteenth Language Resources and Evaluation Conference, LREC 2022, Marseille, France, 20-25 June 2022, 2022)

Reflections on 30 Years of Language Resource Development and Sharing - Christopher Cieri; Mark Liberman; Sunghye Cho; Stephanie M. Strassel; James Fiumara; Jonathan Wright (Proceedings of the Thirteenth Language Resources and Evaluation Conference, LREC 2022, Marseille, France, 20-25 June 2022, 2022)

Let Each Quantum Bit Choose Its Basis Gates - Sophia Fuhui Lin; Sara Sussman; Casey Duckering; Pranav S. Mundada; Jonathan M. Baker; Rohan S. Kumar; Andrew A. Houck; Frederic T. Chong (55th IEEE/ACM International Symposium on Microarchitecture, MICRO 2022, Chicago, IL, USA, October 1-5, 2022, 2022)

Scaling Superconducting Quantum Computers with Chiplet Architectures - Kaitlin N. Smith; Gokul Subramanian Ravi; Jonathan M. Baker; Frederic T. Chong (55th IEEE/ACM International Symposium on Microarchitecture, MICRO 2022, Chicago, IL, USA, October 1-5, 2022, 2022)

SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections - Mark Boss; Andreas Engelhardt; Abhishek Kar; Yuanzhen Li; Deqing Sun; Jonathan T. Barron; Hendrik P. A. Lensch; Varun Jampani (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Influencing Long-Term Behavior in Multiagent Reinforcement Learning - Dong-Ki Kim; Matthew Riemer; Miao Liu; Jakob N. Foerster; Michael Everett; Chuangchuang Sun; Gerald Tesauro; Jonathan P. How (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

On the Generalizability and Predictability of Recommender Systems - Duncan C. McElfresh; Sujay Khandagale; Jonathan Valverde; John Dickerson; Colin White (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks - Mansheej Paul; Brett W. Larsen; Surya Ganguli; Jonathan Frankle; Gintare Karolina Dziugaite (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models - Maribeth Rauh; John Mellor; Jonathan Uesato; Po-Sen Huang; Johannes Welbl; Laura Weidinger; Sumanth Dathathri; Amelia Glaese; Geoffrey Irving; Iason Gabriel; William Isaac; Lisa Anne Hendricks (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Non-identifiability and the Blessings of Misspecification in Models of Molecular Fitness - Eli N. Weinstein; Alan Nawzad Amin; Jonathan Frazer; Debora S. Marks (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Dual Laser Indium Phosphide Photonic Integrated Circuits for Remote Active Carbon Dioxide Sensing - Fengqiao Sang; Victoria Rosborough; Joseph Fridlander; Fabrizio Gambini; Simone Tommaso Suran Brunelli; Jeffrey R. Chen; Stephan R. Kawa; Kenji Numata; Mark Stephen; Larry Coldren; Jonathan Klamkin (Optical Fiber Communications Conference and Exhibition, OFC 2022, San Diego, CA, USA, March 6-10, 2022, 2022)

Digitally Controlled Silicon Nitride Optical Switch - Suraj Sharma; Niharika Kohli; Jonathan Brière; Frederic Nabki; Michaël Ménard (Optical Fiber Communications Conference and Exhibition, OFC 2022, San Diego, CA, USA, March 6-10, 2022, 2022)

Towards a Soft Exosuit for Hypogravity Adaptation: Design and Control of Lightweight Bubble Artificial Muscles - Emanuele Pulvirenti; Richard Suphapol Diteesawat; Helmut Hauser; Jonathan Rossiter (5th IEEE International Conference on Soft Robotics, RoboSoft 2022, Edinburgh, United Kingdom, April 4-8, 2022, 2022)

UX Requirements Matters: Guidelines to Support Software Teams on the Writing of Acceptance Criteria - Suéllen Martinelli; Nicolas Nascimento; Jonathan Souza; Afonso Sales; Luciana A. M. Zaina (SBES 2022: XXXVI Brazilian Symposium on Software Engineering, Virtual Event Brazil, October 5 - 7, 2022, 2022)

Directional Pairwise Class Confusion Bias and Its Mitigation - Sudhashree Sayenju; Ramazan Aygun; Jonathan Boardman; Duleep Prasanna Rathgamage Don; Yifan Zhang; Bill Franks; Sereres Johnston; George Lee; Dan Sullivan; Girish Modgil (16th IEEE International Conference on Semantic Computing, ICSC 2022, Laguna Hills, CA, USA, January 26-28, 2022, 2022)

Look over there! Investigating Saliency Modulation for Visual Guidance with Augmented Reality Glasses - Jonathan Sutton; Tobias Langlotz; Alexander Plopski; Stefanie Zollmann; Yuta Itoh; Holger Regenbrecht (The 35th Annual ACM Symposium on User Interface Software and Technology, UIST 2022, Bend, OR, USA, 29 October 2022 - 2 November 2022, 2022)

Mistrust Plugins You Must: A Large-Scale Study Of Malicious Plugins In WordPress Marketplaces - Ranjita Pai Kasturi; Jonathan Fuller; Yiting Sun; Omar Chabklo; Andres Rodriguez; Jeman Park; Brendan Saltaformaggio (31st USENIX Security Symposium, USENIX Security 2022, Boston, MA, USA, August 10-12, 2022, 2022)

Co-Optimization of SRAM Circuits with Sequential Access Patterns in a 7nm SoC Achieving 58% Memory Energy Reduction for AR Applications - Daniel H. Morris; Huichu Liu; Tony F. Wu; Huseyin Ekin Sumbul; Elnaz Ansari; Alexandre Barachant; Jonathan Reid; Edith Beigné (IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), Honolulu, HI, USA, June 12-17, 2022, 2022)

5G mmWave Power Amplifier and Low-Noise Amplifier in 300mm GaN-on-Si Technology - Qiang Yu; Han Wui Then; Derek Thomson; Jessica C. Chou; Jeffrey Garrett; Iwen Huang; Ibukunoluwa Momson; Surej Ravikumar; Seahee Hwangbo; Alvaro Latorre-Rey; Ananda Roy; Marko Radosavljevic; et al. (IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), Honolulu, HI, USA, June 12-17, 2022, 2022)

Data for: "Optimum Device and Modulation Scheme Selection for Optical Wireless Communications" - Hyunchae Chun; Sujan Rajbhandari; Grahame E. Faulkner; Enyuan Xie; Jonathan McKendry; Erdan Gu; Martin D. Dawson; Dominic C. O'Brien (IEEE DataPort, 2022)
Accessed on YYYY-MM-DD.

CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation - Reuben Dorent; Aaron Kujawa; Marina Ivory; Spyridon Bakas; Nicola Rieke; Samuel Joutard; Ben Glocker; Jorge Cardoso; Marc Modat; Kayhan Batmanghelich; Arseniy Belkov; Maria G. Baldeon Calisto; et al. (CoRR, 2022)

Zero Botnets: An Observe-Pursue-Counter Approach - Jeremy Kepner; Jonathan Bernays; Stephen Buckley; Kenjiro Cho; Cary Conrad; Leslie Daigle; Keeley Erhardt; Vijay Gadepally; Barry Greene; Michael Jones; Robert Knake; Bruce M. Maggs; et al. (CoRR, 2022)

Spin Wave Electromagnetic Nano-Antenna Enabled by Tripartite Phonon-Magnon-Photon Coupling - Raisa Fabiha; Jonathan Lundquist; Sudip Majumder; Erdem Topsakal; Anjan Barman; Supriyo Bandyopadhyay (CoRR, 2022)

CAFQA: Clifford Ansatz For Quantum Accuracy - Gokul Subramanian Ravi; Pranav Gokhale; Yi Ding; William M. Kirby; Kaitlin N. Smith; Jonathan M. Baker; Peter J. Love; Henry Hoffmann; Kenneth R. Brown; Frederic T. Chong (CoRR, 2022)

Influencing Long-Term Behavior in Multiagent Reinforcement Learning - Dong-Ki Kim; Matthew Riemer; Miao Liu; Jakob N. Foerster; Michael Everett; Chuangchuang Sun; Gerald Tesauro; Jonathan P. How (CoRR, 2022)

Secret-to-Image Reversible Transformation for Generative Steganography - Zhili Zhou; Yuecheng Su; Q. M. Jonathan Wu; Zhangjie Fu; Yunqing Shi (CoRR, 2022)

Generative Principal Component Analysis - Zhaoqiang Liu; Jiulong Liu; Subhroshekhar Ghosh; Jun Han; Jonathan Scarlett (CoRR, 2022)

Heterogeneous Target Speech Separation - Efthymios Tzinis; Gordon Wichern; Aswin Shanmugam Subramanian; Paris Smaragdis; Jonathan Le Roux (CoRR, 2022)

Electrocardiographic Deep Learning for Predicting Post-Procedural Mortality - David Ouyang; John Theurer; Nathan R. Stein; J. Weston Hughes; Pierre Elias; Bryan He; Neal Yuan; Grant Duffy; Roopinder K. Sandhu; Joseph Ebinger; Patrick Botting; Melvin Jujjavarapu; et al. (CoRR, 2022)

UniMorph 4.0: Universal Morphology - Khuyagbaatar Batsuren; Omer Goldman; Salam Khalifa; Nizar Habash; Witold Kieras; Gábor Bella; Brian Leonard; Garrett Nicolai; Kyle Gorman; Yustinus Ghanggo Ate; Maria Ryskina; Sabrina J. Mielke; et al. (CoRR, 2022)

Model-Based and Graph-Based Priors for Group Testing - Ivan Lau; Jonathan Scarlett; Yang Sun (CoRR, 2022)

Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval - Pascal Notin; Mafalda Dias; Jonathan Frazer; Javier Marchena-Hurtado; Aidan N. Gomez; Debora S. Marks; Yarin Gal (CoRR, 2022)

SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections - Mark Boss; Andreas Engelhardt; Abhishek Kar; Yuanzhen Li; Deqing Sun; Jonathan T. Barron; Hendrik P. A. Lensch; Varun Jampani (CoRR, 2022)

Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks - Mansheej Paul; Brett W. Larsen; Surya Ganguli; Jonathan Frankle; Gintare Karolina Dziugaite (CoRR, 2022)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (CoRR, 2022)

Deep Multi-Task Networks For Occluded Pedestrian Pose Estimation - Arindam Das; Sudip Das; Ganesh Sistu; Jonathan Horgan; Ujjwal Bhattacharya; Edward Jones; Martin Glavin; Ciarán Eising (CoRR, 2022)

Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models - Maribeth Rauh; John Mellor; Jonathan Uesato; Po-Sen Huang; Johannes Welbl; Laura Weidinger; Sumanth Dathathri; Amelia Glaese; Geoffrey Irving; Iason Gabriel; William Isaac; Lisa Anne Hendricks (CoRR, 2022)

Investigating the Benefits of Free-Form Rationales - Jiao Sun; Swabha Swayamdipta; Jonathan May; Xuezhe Ma (CoRR, 2022)

On the Generalizability and Predictability of Recommender Systems - Duncan C. McElfresh; Sujay Khandagale; Jonathan Valverde; John P. Dickerson; Colin White (CoRR, 2022)

Learning quantum symmetries with interactive quantum-classical variational algorithms - Jonathan Z. Lu; Rodrigo A. Bravo; Kaiying Hou; Gebremedhin A. Dagnew; Susanne F. Yelin; Khadijeh Najafi (CoRR, 2022)

DAUX: a Density-based Approach for Uncertainty eXplanations - Hao Sun; Boris van Breugel; Jonathan Crabbé; Nabeel Seedat; Mihaela van der Schaar (CoRR, 2022)

Learning Bellman Complete Representations for Offline Policy Evaluation - Jonathan D. Chang; Kaiwen Wang; Nathan Kallus; Wen Sun (CoRR, 2022)

Learning Latent Traits for Simulated Cooperative Driving Tasks - Jonathan A. DeCastro; Deepak E. Gopinath; Guy Rosman; Emily Sumner; Shabnam Hakimi; Simon Stent (CoRR, 2022)

Perspectives on the System-level Design of a Safe Autonomous Driving Stack - Majd Hawasly; Jonathan Sadeghi; Morris Antonello; Stefano V. Albrecht; John Redford; Subramanian Ramamoorthy (CoRR, 2022)

Have your QEC and Bandwidth too!: A lightweight cryogenic decoder for common / trivial errors, and efficient bandwidth + execution management otherwise - Gokul Subramanian Ravi; Jonathan M. Baker; Arash Fayyazi; Sophia Fuhui Lin; Ali Javadi-Abhari; Massoud Pedram; Frederic T. Chong (CoRR, 2022)

Individual Tree Detection in Large-Scale Urban Environments using High-Resolution Multispectral Imagery - Jonathan Ventura; Milo Honsberger; Cameron Gonsalves; Julian Rice; Camille Pawlak; Natalie L. R. Love; Skyler Han; Viet Nguyen; Keilana Sugano; Jacqueline Doremus; G. Andrew Fricker; Jenn Yost; et al. (CoRR, 2022)

FOLIO: Natural Language Reasoning with First-Order Logic - Simeng Han; Hailey Schoelkopf; Yilun Zhao; Zhenting Qi; Martin Riddell; Luke Benson; Lucy Sun; Ekaterina Zubova; Yujie Qiao; Matthew Burtell; David Peng; Jonathan Fan; et al. (CoRR, 2022)

On the Second Kahn-Kalai Conjecture - Elchanan Mossel; Jonathan Niles-Weed; Nike Sun; Ilias Zadik (CoRR, 2022)

A second moment proof of the spread lemma - Elchanan Mossel; Jonathan Niles-Weed; Nike Sun; Ilias Zadik (CoRR, 2022)

Navigating the dynamic noise landscape of variational quantum algorithms with QISMET - Gokul Subramanian Ravi; Kaitlin N. Smith; Jonathan M. Baker; Tejas Kannan; Nathan Earnest; Ali Javadi-Abhari; Henry Hoffmann; Frederic T. Chong (CoRR, 2022)

Boosting Quantum Fidelity with an Ordered Diverse Ensemble of Clifford Canary Circuits - Gokul Subramanian Ravi; Jonathan M. Baker; Kaitlin N. Smith; Nathan Earnest; Ali Javadi-Abhari; Frederic T. Chong (CoRR, 2022)

Mutual Information and Ensemble Based Feature Recommender for Renal Cancer Stage Classification - Abhishek Dey; Debayan Goswami; Rahul Roy; Susmita Ghosh; Yu Shrike Zhang; Jonathan H. Chan (CoRR, 2022)

Improving alignment of dialogue agents via targeted human judgements - Amelia Glaese; Nat McAleese; Maja Trebacz; John Aslanides; Vlad Firoiu; Timo Ewalds; Maribeth Rauh; Laura Weidinger; Martin J. Chadwick; Phoebe Thacker; Lucy Campbell-Gillingham; Jonathan Uesato; et al. (CoRR, 2022)

Gradual C0: Symbolic Execution for Efficient Gradual Verification - Jenna DiVincenzo; Ian McCormack; Hemant Gouni; Jacob Gorenburg; Mona Zhang; Conrad Zimmerman; Joshua Sunshine; Éric Tanter; Jonathan Aldrich (CoRR, 2022)

Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask? - Mansheej Paul; Feng Chen; Brett W. Larsen; Jonathan Frankle; Surya Ganguli; Gintare Karolina Dziugaite (CoRR, 2022)

IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C) - Giuseppe Stragapede; Rubén Vera-Rodríguez; Ruben Tolosana; Aythami Morales; Julian Fiérrez; Javier Ortega-Garcia; Sanka Rasnayaka; Sachith Seneviratne; Vipula Dissanayake; Jonathan Liebers; Ashhadul Islam; Samir Brahim Belhaouari; et al. (CoRR, 2022)

Perspectives on Negative Research Results in Pervasive Computing - Ella Peltonen; Nitinder Mohan; Peter Zdankin; Tanya Shreedhar; Tri Nguyen; Suzan Bayhan; Jon Crowcroft; Jussi Kangasharju; Daniela Nicklas (CoRR, 2022)

Robotic Table Wiping via Reinforcement Learning and Whole-body Trajectory Optimization - Thomas Lew; Sumeet Singh; Mario Prats; Jeffrey Bingham; Jonathan Weisz; Benjie Holson; Xiaohan Zhang; Vikas Sindhwani; Yao Lu; Fei Xia; Peng Xu; Tingnan Zhang; et al. (CoRR, 2022)

RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control - Zhenggang Tang; Balakumar Sundaralingam; Jonathan Tremblay; Bowen Wen; Ye Yuan; Stephen Tyree; Charles T. Loop; Alexander G. Schwing; Stan Birchfield (CoRR, 2022)

Towards End-to-end Speaker Diarization in the Wild - Zexu Pan; Gordon Wichern; François G. Germain; Aswin Shanmugam Subramanian; Jonathan Le Roux (CoRR, 2022)

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model - Teven Le Scao; Angela Fan; Christopher Akiki; Ellie Pavlick; Suzana Ilic; Daniel Hesslow; Roman Castagné; Alexandra Sasha Luccioni; François Yvon; Matthias Gallé; Jonathan Tow; Alexander M. Rush; et al. (CoRR, 2022)

Reverberation as Supervision for Speech Separation - Rohith Aralikatti; Christoph Böddeker; Gordon Wichern; Aswin Shanmugam Subramanian; Jonathan Le Roux (CoRR, 2022)

A Practical Stereo Depth System for Smart Glasses - Jialiang Wang; Daniel Scharstein; Akash Bapat; Kevin Blackburn-Matzen; Matthew Yu; Jonathan Lehman; Suhib Alsisan; Yanghan Wang; Sam S. Tsai; Jan-Michael Frahm; Zijian He; Peter Vajda; et al. (CoRR, 2022)

Hyperbolic Audio Source Separation - Darius Petermann; Gordon Wichern; Aswin Shanmugam Subramanian; Jonathan Le Roux (CoRR, 2022)

Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks - Darius Petermann; Gordon Wichern; Aswin Shanmugam Subramanian; Zhong-Qiu Wang; Jonathan Le Roux (CoRR, 2022)

OpenFHE: Open-Source Fully Homomorphic Encryption Library - Ahmad Al Badawi; Jack Bates; Flávio Bergamaschi; David Bruce Cousins; Saroja Erabelli; Nicholas Genise; Shai Halevi; Hamish Hunt; Andrey Kim; Yongwoo Lee; Zeyu Liu; Daniele Micciancio; et al. (IACR Cryptol. ePrint Arch., 2022)

Chapter Five - Fingerprint liveness detection using an improved CNN with the spatial pyramid pooling structure - Chengsheng Yuan; Qi Cui; Xingming Sun; Q. M. Jonathan Wu; Sheng Wu (Adv. Comput., 2021)

Evaluation of Accelerometric and Cycling Cadence Data for Motion Monitoring - Hana Charvátová; Ales Procházka; Oldrich Vysata; Carmen Paz Suárez Araujo; Jonathan Smith (IEEE Access, 2021)

Reachability Analysis of Neural Feedback Loops - Michael Everett; Golnaz Habibi; Chuangchuang Sun; Jonathan P. How (IEEE Access, 2021)

A Short and Light, Sparse Dipolar Halbach Magnet for MRI - Aaron R. Purchase; Logi Vidarsson; Keith Wachowicz; Piotr Liszkowski; Hongwei Sun; Gordon E. Sarty; Jonathan C. Sharp; Boguslaw Tomanek (IEEE Access, 2021)

Highly Sensitive Reflective-Mode Phase-Variation Permittivity Sensor Based on a Coplanar Waveguide Terminated With an Open Complementary Split Ring Resonator (OCSRR) - Lijuan Su; Jonathan Muñoz-Enano; Paris Vélez; Marta Gil-Barba; Pau Casacuberta; Ferran Martín (IEEE Access, 2021)

On the Modeling of Microstrip Lines Loaded With Dumbbell Defect-Ground-Structure (DB-DGS) and Folded DB-DGS Resonators - Lijuan Su; Jonathan Muñoz-Enano; Paris Vélez; Jesus Martel; Francisco Medina; Ferran Martín (IEEE Access, 2021)

Linking a Consortium-Wide Data Quality Assessment Tool with the MIRACUM Metadata Repository - Lorenz A. Kapsner; Jonathan Mang; Sebastian Mate; Susanne Andrea Seuchter; Abishaa Vengadeswaran; Franziska Bathelt; Noemi Deppenwiese; Dennis Kadioglu; Detlef Kraska; Hans-Ulrich Prokosch (Appl. Clin. Inform., 2021)

Fusion of Hyperspectral-Multispectral images joining Spatial-Spectral Dual-Dictionary and structured sparse Low-rank representation - Nan Chen; Lichun Sui; Biao Zhang; Hongjie He; Kyle Gao; Yandong Li; José Marcato Junior; Jonathan Li (Int. J. Appl. Earth Obs. Geoinformation, 2021)

3D MSSD: A multilayer spatial structure 3D object detection network for mobile LiDAR point clouds - Zongyue Wang; Qiming Xia; Jing Du; Shangfeng Huang; Jinhe Su; José Marcato Junior; Jonathan Li; Guorong Cai (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Electromechanical modeling of human ventricles with ischemic cardiomyopathy: numerical simulations in sinus rhythm and under arrhythmia - Matteo Salvador; Marco Fedele; Pasquale Claudio Africa; Eric Sung; Luca Dedè; Adityo Prakosa; Jonathan Chrispin; Natalia A. Trayanova; Alfio Quarteroni (Comput. Biol. Medicine, 2021)

Oil palm fresh fruit bunch ripeness classification on mobile devices using deep learning approaches - Suharjito; Gregorius Natanael Elwirehardja; Jonathan Sebastian Prayoga (Comput. Electron. Agric., 2021)

On Architecture Selection for Linear Inverse Problems with Untrained Neural Networks - Yang Sun; Hangdong Zhao; Jonathan Scarlett (Entropy, 2021)

Artificial datasets for hierarchical classification - Jonathan Serrano-Pérez; Luis Enrique Sucar (Expert Syst. Appl., 2021)

Blockchain-based decentralized reputation system in E-commerce environment - Zhili Zhou; Meimin Wang; Ching-Nung Yang; Zhangjie Fu; Xingming Sun; Q. M. Jonathan Wu (Future Gener. Comput. Syst., 2021)

Characterizing Continuous Manipulation Families for Dexterous Soft Robot Hands - Jiatian Sun; Jonathan P. King; Nancy S. Pollard (Frontiers Robotics AI, 2021)

Identifying the value of data analytics in the context of government supervision: Insights from the customs domain - Boriana Rukanova; Yao-Hua Tan; Micha Slegt; Marcel Molenhuis; Ben van Rijnsoever; Jonathan Migeotte; Mathieu L. M. Labare; Krunoslav Plecko; Bora Caglayan; Gavin Shorten; Otis van der Meij; Suzanne Post (Gov. Inf. Q., 2021)

Assessment of an evidence-based laryngeal cancer fact sheet: A mixed methods study - Joe Jabbour; Heather L. Shepherd; Thomas Beddow; Puma Sundaresan; Chris Milross; Carsten E. Palme; Jonathan R. Clark; Haryana M. Dhillon (Health Informatics J., 2021)

Relative geometry-aware siamese neural network for 6DOF camera relocalization - Qing Li; Jiasong Zhu; Rui Cao; Ke Sun; Jonathan M. Garibaldi; Qingquan Li; Bozhi Liu; Guoping Qiu (Neurocomputing, 2021)

Interactive POS-aware network for aspect-level sentiment classification - Kai Shuang; Mengyu Gu; Rui Li; Jonathan Loo; Sen Su (Neurocomputing, 2021)

Self-supervised monocular depth estimation with direct methods - Haixia Wang; Yehao Sun; Q. M. Jonathan Wu; Xiao Lu; Xiuling Wang; Zhiguo Zhang (Neurocomputing, 2021)

Adaptive tensegrity locomotion: Controlling a compliant icosahedron with symmetry-reduced reinforcement learning - David Allen Surovik; Kun Wang; Massimo Vespignani; Jonathan Bruce; Kostas E. Bekris (Int. J. Robotics Res., 2021)

Computational Emotion Models: A Thematic Review - Suman Ojha; Jonathan Vitale; Mary-Anne Williams (Int. J. Soc. Robotics, 2021)

Network Representation Learning Enhanced by Partial Community Information That Is Found Using Game Theory - Hanlin Sun; Wei Jie; Jonathan Loo; Liang Chen; Zhongmin Wang; Sugang Ma; Gang Li; Shuai Zhang (Inf., 2021)

Non-dominated sorting on performance indicators for evolutionary many-objective optimization - Hao Wang; Chaoli Sun; Guochen Zhang; Jonathan E. Fieldsend; Yaochu Jin (Inf. Sci., 2021)

Non-Canonical Interaction between Calmodulin and Calcineurin Contributes to the Differential Regulation of Plant-Derived Calmodulins on Calcineurin - Bin Sun; Xuan Fang; Christopher N. Johnson; Garrett Hauck; Yongjun Kou; Jonathan P. Davis; Peter M. Kekenes-Huskey (J. Chem. Inf. Model., 2021)

RRAM-DNN: An RRAM and Model-Compression Empowered All-Weights-On-Chip DNN Accelerator - Ziyun Li; Zhehong Wang; Li Xu; Qing Dong; Bowen Liu; Chin-I Su; Wen-Ting Chu; George Tsou; Yu-Der Chih; Tsung-Yung Jonathan Chang; Dennis Sylvester; Hun-Seok Kim; et al. (IEEE J. Solid State Circuits, 2021)

A 7-nm Compute-in-Memory SRAM Macro Supporting Multi-Bit Input, Weight and Output and Achieving 351 TOPS/W and 372.4 GOPS - Mahmut E. Sinangil; Burak Erbagci; Rawan Naous; Kerem Akarvardar; Dar Sun; Win-San Khwa; Hung-Jen Liao; Yih Wang; Jonathan Chang (IEEE J. Solid State Circuits, 2021)

A principal components analysis of factors associated with successful implementation of an LVAD decision support tool - Kristin M. Kostick; Meredith Trejo; Arvind Bhimaraj; Andrew Civitello; Jonathan Grinstein; Douglas Horstmanshof; Ulrich P. Jorde; Matthias Loebe; Mandeep R. Mehra; Nasir Z. Sulemanjee; Vinay Thohan; Barry H. Trachtenberg; et al. (BMC Medical Informatics Decis. Mak., 2021)

Estimation of multidimensional item response theory models with correlated latent variables using variational autoencoders - Geoffrey A. Converse; Mariana Curi; Suely Oliveira; Jonathan Templin (Mach. Learn., 2021)

3MNet: Multi-task, multi-level and multi-channel feature aggregation network for salient object detection - Xinghe Yan; Zhenxue Chen; Q. M. Jonathan Wu; Mengxu Lu; Luna Sun (Mach. Vis. Appl., 2021)

Mouse Genome Database (MGD): Knowledgebase for mouse-human comparative biology - Judith A. Blake; Richard M. Baldarelli; James A. Kadin; Joel E. Richardson; Cynthia L. Smith; Carol J. Bult; Anna V. Anagnostopoulos; Jon S. Beal; Susan M. Bello; Olin Blodgett; Nancy E. Butler; Jeff Campbell; et al. (Nucleic Acids Res., 2021)

GENCODE 2021 - Adam Frankish; Mark Diekhans; Irwin Jungreis; Julien Lagarde; Jane E. Loveland; Jonathan M. Mudge; Cristina Sisu; James C. Wright; Joel Armstrong; If Barnes; Andrew E. Berry; Alexandra Bignell; et al. (Nucleic Acids Res., 2021)

Integration of the Drug-Gene Interaction Database (DGIdb 4.0) with open crowdsource efforts - Sharon L. Freshour; Susanna Kiwala; Kelsy C. Cotto; Adam C. Coffman; Joshua F. McMichael; Jonathan J. Song; Malachi Griffith; Obi L. Griffith; Alex H. Wagner (Nucleic Acids Res., 2021)

CATH: increased structural coverage of functional space - Ian Sillitoe; Nicola Bordin; Natalie L. Dawson; Vaishali P. Waman; Paul Ashford; Harry M. Scholes; Camilla S. M. Pang; Laurel Woodridge; Clemens Rauer; Neeladri Sen; Mahnaz Abbasian; Sean Le Cornu; et al. (Nucleic Acids Res., 2021)

The data-driven future of high-energy-density physics - Peter W. Hatfield; Jim A. Gaffney; Gemma J. Anderson; Suzanne Ali; Luca Antonelli; Suzan Basegmez du Pree; Jonathan Citrin; Marta Fajardo; Patrick F. Knapp; Brendan Kettle; Bogdan Kustowski; Michael J. MacDonald; et al. (Nat., 2021)

Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? - Kurt G. Schilling; François Rheault; Laurent Petit; Colin B. Hansen; Vishwesh Nath; Fang-Cheng Yeh; Gabriel Girard; Muhamed Barakovic; Jonathan Rafael-Patino; Thomas Yu; Elda Fischi Gomez; Marco Pizzolato; et al. (NeuroImage, 2021)

Improved cortical surface reconstruction using sub-millimeter resolution MPRAGE by image denoising - Qiyuan Tian; Natalia Zaretskaya; Qiuyun Fan; Chanon Ngamsombat; Berkin Bilgic; Jonathan R. Polimeni; Susie Yi Huang (NeuroImage, 2021)

DeePaN: deep patient graph convolutional network integrating clinico-genomic evidence to stratify lung cancers for immunotherapy - Chao Fang; Dong Xu; Jing Su; Jonathan R. Dry; Bolan Linghu (npj Digit. Medicine, 2021)

Edge Intelligence: Empowering Intelligence to the Edge of Network - Dianlei Xu; Tong Li; Yong Li; Xiang Su; Sasu Tarkoma; Tao Jiang; Jon Crowcroft; Pan Hui (Proc. IEEE, 2021)

Insights into substrate recognition and specificity for IgG by Endoglycosidase S2 - Asaminew H. Aytenfisu; Daniel Deredge; Erik H. Klontz; Jonathan Du; Eric J. Sundberg; Alexander D. MacKerell Jr. (PLoS Comput. Biol., 2021)

Biological impact of mutually exclusive exon switching - Su Datt Lam; M. Madan Babu; Jonathan G. Lees; Christine A. Orengo (PLoS Comput. Biol., 2021)

Oblivious DNS over HTTPS (ODoH): A Practical Privacy Enhancement to DNS - Sudheesh Singanamalla; Suphanat Chunhapanya; Jonathan Hoyland; Marek Vavrusa; Tanya Verma; Peter Wu; Marwan Fayed; Kurtis Heimerl; Nick Sullivan; Christopher A. Wood (Proc. Priv. Enhancing Technol., 2021)

B: Ionic Glove: A Soft Smart Wearable Sensory Feedback Device for Upper Limb Robotic Prostheses - Melanie Florine Simons; Krishna Manaswi Digumarti; Nguyen Hao Le; Hsing-Yu Chen; Sara Correia Carreira; Nouf S. S. Zaghloul; Richard Suphapol Diteesawat; Martin Stephen Garrad; Andrew T. Conn; Christopher Kent; Jonathan Rossiter (IEEE Robotics Autom. Lett., 2021)

Effects of the COVID-19 Lockdown on Urban Light Emissions: Ground and Satellite Comparison - Máximo Bustamante-Calabria; Alejandro Sánchez de Miguel; Susana Martín-Ruiz; Jose-Luis Ortiz; José M. Vílchez; Alicia Pelegrina; Antonio García; Jaime Zamorano; Jonathan Bennie; Kevin J. Gaston (Remote. Sens., 2021)

The Indian COSMOS Network (ICON): Validating L-Band Remote Sensing and Modelled Soil Moisture Data Products - Deepti B. Upadhyaya; Jonathan Evans; Muddu Sekhar; Sat Kumar Tomer; Ahmad Al Bitar; Subash Yeggina; Thiyaku S; Ross Morrison; Matthew Fry; Sachchida Nand Tripathi; Milind Mujumdar; Mangesh Goswami; et al. (Remote. Sens., 2021)

Bayesian numerical methods for nonlinear partial differential equations - Junyang Wang; Jon Cockayne; Oksana A. Chkrebtii; Timothy John Sullivan; Chris J. Oates (Stat. Comput., 2021)

Electro-pneumatic pumps for soft robotics - Richard Suphapol Diteesawat; Tim Helps; Majid Taghavi; Jonathan Rossiter (Sci. Robotics, 2021)

Planar Phase-Variation Microwave Sensors for Material Characterization: A Review and Comparison of Various Approaches - Jonathan Muñoz-Enano; Jan Coromina; Paris Vélez; Lijuan Su; Marta Gil; Pau Casacuberta; Ferran Martín (Sensors, 2021)

Discussion and Analysis of Dumbbell Defect-Ground-Structure (DB-DGS) Resonators for Sensing Applications from a Circuit Theory Perspective - Lijuan Su; Paris Vélez; Jonathan Muñoz-Enano; Ferran Martín (Sensors, 2021)

Asymptotic Reduction of a Lithium-Ion Pouch Cell Model - Robert Timms; Scott G. Marquis; Valentin Sulzer; Colin P. Please; S. Jonathan Chapman (SIAM J. Appl. Math., 2021)

Single Satellite Imagery Superresolution Based on Hybrid Nonlocal Similarity Constrained Convolution Sparse Coding - Nan Chen; Lichun Sui; Biao Zhang; Hongjie He; José Marcato Junior; Jonathan Li (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Ground Camera Image and Large-Scale 3-D Image-Based Point Cloud Registration Based on Learning Domain Invariant Feature Descriptors - Weiquan Liu; Baiqi Lai; Cheng Wang; Guorong Cai; Yanfei Su; Xuesheng Bian; Yongchuan Li; Shuting Chen; Jonathan Li (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering - Ben Bogin; Sanjay Subramanian; Matt Gardner; Jonathan Berant (Trans. Assoc. Comput. Linguistics, 2021)

Faster Single Model Vigilance Detection Based on Deep Learning - Wei Wu; Wei Sun; Q. M. Jonathan Wu; Cheng Zhang; Yimin Yang; Hongshan Yu; Bao-Liang Lu (IEEE Trans. Cogn. Dev. Syst., 2021)

A Regression Method With Subnetwork Neurons for Vigilance Estimation Using EOG and EEG - Wei Wu; Q. M. Jonathan Wu; Wei Sun; Yimin Yang; Xiaofang Yuan; Wei-Long Zheng; Bao-Liang Lu (IEEE Trans. Cogn. Dev. Syst., 2021)

Overview of the Eighth Dialog System Technology Challenge: DSTC8 - Seokhwan Kim; Michel Galley; R. Chulaka Gunasekara; Sungjin Lee; Adam Atkinson; Baolin Peng; Hannes Schulz; Jianfeng Gao; Jinchao Li; Mahmoud Adada; Minlie Huang; Luis A. Lastras; et al. (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Multiple Distance-Based Coding: Toward Scalable Feature Matching for Large-Scale Web Image Search - Zhili Zhou; Q. M. Jonathan Wu; Xingming Sun (IEEE Trans. Big Data, 2021)

AMPNet: Average- and Max-Pool Networks for Salient Object Detection - Luna Sun; Zhenxue Chen; Q. M. Jonathan Wu; Hongjian Zhao; Weikai He; Xinghe Yan (IEEE Trans. Circuits Syst. Video Technol., 2021)

A Fake Online Repository Generation Engine for Cyber Deception - Tanmoy Chakraborty; Sushil Jajodia; Jonathan Katz; Antonio Picariello; Giancarlo Sperlì; V. S. Subrahmanian (IEEE Trans. Dependable Secur. Comput., 2021)

Large-Scale Evolutionary Multiobjective Optimization Assisted by Directed Sampling - Shufen Qin; Chaoli Sun; Yaochu Jin; Ying Tan; Jonathan E. Fieldsend (IEEE Trans. Evol. Comput., 2021)

Unifying the Estimation of Blood Volume Decompensation Status in a Porcine Model of Relative and Absolute Hypovolemia Via Wearable Sensing - Jacob Kimball; Jonathan Zia; Sungtae An; Christopher Rolfes; Jin-Oh Hahn; Michael N. Sawka; Omer T. Inan (IEEE J. Biomed. Health Informatics, 2021)

Adaptive Predictive Power Management for Mobile LTE Devices - Peter Brand; Joachim Falk; Jonathan Ah Sue; Johannes Brendel; Ralph Hasholzner; Jürgen Teich (IEEE Trans. Mob. Comput., 2021)

Real-Time Gain Control of PET Detectors and Evaluation With Challenging Radionuclides - Floris Jansen; Timothy W. Deller; Mark D. Fries; Mohammad Mehdi Khalighi; Sharon L. White; Lauren L. Radford; Jonathan E. McConathy; Suzanne E. Lapi (IEEE Trans. Medical Imaging, 2021)

PLIERS: A Process that Integrates User-Centered Methods into Programming Language Design - Michael J. Coblenz; Gauri Kambhatla; Paulette Koronkevich; Jenna L. Wise; Celeste Barnaby; Joshua Sunshine; Jonathan Aldrich; Brad A. Myers (ACM Trans. Comput. Hum. Interact., 2021)

Intrusion Detection for Cybersecurity of Smart Meters - Chih-Che Sun; D. Jonathan Sebastian; Adam Hahn; Chen-Ching Liu (IEEE Trans. Smart Grid, 2021)

The Comparative Study of Algorithms in Building the Green Mobile Cloud Computing Environment - Nicholas Dominic; Jonathan Sebastian Prayoga; Daniel Kumala; Nico Surantha; Benfano Soewito (Advances on P2P, Parallel, Grid, Cloud and Internet Computing - Proceedings of the 16th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC 2021, Fukuoka, Japan, October 28-30, 2021, 2021)

Can Conversational Agents Change the Way Children Talk to People? - Alexis Hiniker; Amelia Wang; Jonathan A. Tran; Mingrui Ray Zhang; Jenny S. Radesky; Kiley Sobel; Sungsoo Ray Hong (IDC '21: Interaction Design and Children, Athens, Greece, 24-30 June, 2021, 2021)

Extracting Social Variables from Clinical Documentation to Better Facilitate Response to Patient Need - Katie Allen; Daniel Hood; Jonathan Cummins; Suranga Nath Kasthurirathne; Peter J. Embí; Joshua R. Vest (AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021 - November 3, 2021, 2021)

A Retrospective Analysis of Machine Learning Driven Antibiotic Selection in the Emergency Department - Conor K. Corbin; Arhana Chattopadhyah; Lillian Sung; Amy Chang; Stan Deresinski; Jonathan H. Chen (AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021 - November 3, 2021, 2021)

Feasibility and efficacy of using commercially available mHealth technologies and tailored text messages to improve self-care in patients with heart failure: Phase I clinical trial of the iCardia4HF intervention - Spyros Kitsiou; Susan Pressler; Mayank Kansal; Susan Buchholz; Jinsong Chen; Jonathan Leigh; Ayomide Owoyemi; Ben S. Gerber (AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021 - November 3, 2021, 2021)

Assessing Clinical Staff Usability & Satisfaction Before and After an Electronic Health Records Implementation Using Health-ITUES - Rachel Y. Lee; Sarah Collins Rossetti; Jonathan Elias; Amanda J. Moy; Eugene Lucas; Jessica M. Schwartz; Erika L. Abramson; Jessica S. Ancker; Susan B. Bostwick; Kenrick Cato (AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021 - November 3, 2021, 2021)

Recurrent Neural Network based Time-Series Modeling for Long-term Prognosis Following Acute Traumatic Brain Injury - Amin Nayebi; Sindhu Tipirneni; Brandon Foreman; Jonathan J. Ratcliff; Chandan K. Reddy; Vignesh Subbian (AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021 - November 3, 2021, 2021)

A Knowledge Network-Based Approach to Facilitate Annotation of Clinical Pathway Component Clusters - S. M. Shamimul Hasan; Minsu Kim; Byung H. Park; Makoto M. Jones; Merry Ward; Jonathan R. Nebeker (IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2021, Athens, Greece, July 27-30, 2021, 2021)

A Privacy-Preserving User Authentication Mechanism for Smart City Mobile Apps - Maria Papaioannou; José Carlos Ribeiro; Valdemar Monteiro; Victor Sucasas; Georgios Mantas; Jonathan Rodriguez (26th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021, Porto, Portugal, October 25-27, 2021, 2021)

Cartesian Inertia Optimization via Redundancy Resolution for Physical Human-Robot Interaction - Sheila Sutjipto; Jonathan Woolfrey; Marc G. Carmichael; Gavin Paul (17th IEEE International Conference on Automation Science and Engineering, CASE 2021, Lyon, France, August 23-27, 2021, 2021)

Scaling Up HCI Research: from Clinical Trials to Deployment in the Wild - Lena Mamykina; Arlene M. Smaldone; Suzanne R. Bakken; Noemie Elhadad; Elliot G. Mitchell; Pooja M. Desai; Matthew E. Levine; Jonathan N. Tobin; Andrea Cassells; Patricia G. Davidson; David J. Albers; George Hripcsak (CHI '21: CHI Conference on Human Factors in Computing Systems, Virtual Event / Yokohama Japan, May 8-13, 2021, Extended Abstracts, 2021)

Securing IoT-Blockchain Applications Through Honesty-Based Distributed Proof of Authority Consensus Algorithm - Subhi Alrubei; Edward A. Ball; Jonathan Michael Rigelsford (International Conference on Cyber Situational Awareness, Data Analytics and Assessment, CyberSA 2021, Dublin, Ireland, June 14-18, 2021, 2021)

Gradual Program Analysis for Null Pointers - Sam Estep; Jenna Wise; Jonathan Aldrich; Éric Tanter; Johannes Bader; Joshua Sunshine (35th European Conference on Object-Oriented Programming, ECOOP 2021, July 11-17, 2021, Aarhus, Denmark (Virtual Conference), 2021)

Short-training Algorithm for Online Brain-machine Interfaces Using One-photon Microendoscopic Calcium Imaging - Hung-Yun Lu; Anil Bollimunta; Ryan W. Eaton; John H. Morrison; Karen A. Moxon; Jose M. Carmena; Jonathan J. Nassi; Samantha R. Santacruz (43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2021, Mexico, November 1-5, 2021, 2021)

Health is Wealth: A Conceptual Overview of Virtual Healthcare & Future Research Directions [1995-2021] - Josué Kuika Watat; Ebenezer Agbozo; Sunday Adewale Olaleye; Gideon Mekonnen Jonathan (Information Systems - 18th European, Mediterranean, and Middle Eastern Conference, EMCIS 2021, Virtual Event, December 8-9, 2021, Proceedings, 2021)

Challenges in Detoxifying Language Models - Johannes Welbl; Amelia Glaese; Jonathan Uesato; Sumanth Dathathri; John Mellor; Lisa Anne Hendricks; Kirsty Anderson; Pushmeet Kohli; Ben Coppin; Po-Sen Huang (Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021, 2021)

Fusion-based Spatiotemporal Convolutions with Constant Temporal Snapshots for Sign Language Recognition - Yiming Han; Xiaocong Fan; Radhika Bhosale; Ramakrishnan Sundaram; Jonathan Liaw (16th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2021, Jodhpur, India, December 15-18, 2021, 2021)

On the potential of normalized TSP features for automated algorithm selection - Jonathan Heins; Jakob Bossek; Janina Pohl; Moritz Seiler; Heike Trautmann; Pascal Kerschke (FOGA '21: Foundations of Genetic Algorithms XVI, Virtual Event, Austria, September 6-8, 2021, 2021)

HACCLE: metaprogramming for secure multi-party computation - Yuyan Bao; Kirshanthan Sundararajah; Raghav Malik; Qianchuan Ye; Christopher Wagner; Nouraldin Jaber; Fei Wang; Mohammad Hassan Ameri; Donghang Lu; Alexander Seto; Benjamin Delaware; Roopsha Samanta; et al. (GPCE '21: Concepts and Experiences, Chicago, IL, USA, October 17 - 18, 2021, 2021)

Learning from Others: A Data Driven Transfer Learning based Daily New COVID-19 Case Prediction in India using an Ensemble of LSTM-RNNs - Debasrita Chakraborty; Debayan Goswami; Ashish Ghosh; Jonathan H. Chan; Susmita Ghosh (IAIT 2021: The 12th International Conference on Advances in Information Technology, Bangkok, Thailand, 29 June 2021 - 1 July 2021, 2021)

Improving Pronunciation Assessment Via Ordinal Regression with Anchored Reference Samples - Bin Su; Shaoguang Mao; Frank K. Soong; Yan Xia; Jonathan Tien; Zhiyong Wu (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2021, Toronto, ON, Canada, June 6-11, 2021, 2021)

Leveraging Ontologies within the National Microbiome Data Collaborative - William D. Duncan; Faiza Ahmed; Fnu Anubhav; Jeffrey Baumes; Jonathan Beezley; Mark Borkum; Lisa M. Bramer; Shane Canon; Patrick S. G. Chain; Danielle Christianson; Yuri Corilo; Karen Davenport; et al. (Proceedings of the International Conference on Biomedical Ontologies 2021 co-located with the Workshop on Ontologies for the Behavioural and Social Sciences (OntoBess 2021) as part of the Bolzano Summer of Knowledge (BOSK 2021), Bozen-Bolzano, Italy, 16-18 September, 2021, 2021)

Performance Measurement of Real-time FPGA based OFDM System Implementation - Trio Adiono; Michael Jonathan; Erwin Setiawan; Nana Sutisna; Rahmat Mulyawan; Infall Syafalni (International Conference on Electrical Engineering and Informatics, ICEEI 2021, Kuala Terengganu, Malaysia, October 12-13, 2021, 2021)

A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning - Dong-Ki Kim; Miao Liu; Matthew Riemer; Chuangchuang Sun; Marwa Abdulhai; Golnaz Habibi; Sebastian Lopez-Cot; Gerald Tesauro; Jonathan P. How (Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, 2021)

REPAINT: Knowledge Transfer in Deep Reinforcement Learning - Yunzhe Tao; Sahika Genc; Jonathan Chung; Tao Sun; Sunil Mallya (Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, 2021)

FISAR: Forward Invariant Safe Reinforcement Learning with a Deep Neural Network-Based Optimizer - Chuangchuang Sun; Dong-Ki Kim; Jonathan P. How (IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021, 2021)

A Microwave Microfluidic Reflective-Mode Phase-Variation Sensor - Paris Vélez; Cristian Herrojo; Xavi Illa; Rosa Villa; Jonathan Muñoz-Enano; Lijuan Su; Pau Casacuberta; Marta Gil; Ferran Martín (2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021)

Mitigating Spatial and Spectral Differences for Change Detection Using Super-Resolution and Unsupervised Learning - Jonathan Prexl; Sudipan Saha; Xiao Xiang Zhu (IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium, July 11-16, 2021, 2021)

Integrated Photonics Technology for Earth Science Remote-Sensing Lidar - Fengqiao Sang; Joseph Fridlander; Victoria Rosborough; Simone Tommaso Suran Brunelli; Larry Coldren; Jonathan Klamkin; Jeffrey R. Chen; Kenji Numata; Randy Kawa; Mark Stephen (IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium, July 11-16, 2021, 2021)

The Face of Trust: Using Facial Action Units (AUs) as Indicators of Trust in Automation - Jonathan Soon Kiat Chua; Hong Xu; Sun Woh Lye (Human Interaction, Emerging Technologies and Future Systems V - Proceedings of the 5th International Virtual Conference on Human Interaction and Emerging Technologies, IHIET 2021, August 27-29, 2021 and the 6th IHIET: Future Systems (IHIET-FS 2021), October 28-30, 2021, Paris, France, 2021)

Asymmetrical Game Design Approaches Solve Didactic Problems in VR Engineer Trainings - Uli Meyer; Jonathan Becker; Thomas Mueller; André Jeworutzki; Susanne Draheim; Kai von Luck (7th International Conference of the Immersive Learning Research Network, iLRN 2021, Eureka, CA, USA, May 17 - June 10, 2021, 2021)

Amortized Neural Networks for Low-Latency Speech Recognition - Jonathan Macoskey; Grant P. Strimel; Jinru Su; Ariya Rastrow (22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30 - September 3, 2021, 2021)

Joint Space Control via Deep Reinforcement Learning - Visak Kumar; David Hoeller; Balakumar Sundaralingam; Jonathan Tremblay; Stan Birchfield (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021, Prague, Czech Republic, September 27 - Oct. 1, 2021, 2021)

CASTA: Clinical Assessment System for Tuberculosis Analysis - Ramisetty Kavya; Jonathan Samuel; Gunjan Parihar; Y. Suba Joyce; Y. Bakthasingh Lazarus; Subhrakanta Panda; J. Jabez Christopher (Intelligent Systems Design and Applications - 21st International Conference on Intelligent Systems Design and Applications (ISDA 2021) Held During December 13-15, 2021, 2021)

An 89TOPS/W and 16.3TOPS/mm\(^2\) All-Digital SRAM-Based Full-Precision Compute-In Memory Macro in 22nm for Machine-Learning Edge Applications - Yu-Der Chih; Po-Hao Lee; Hidehiro Fujiwara; Yi-Chun Shih; Chia-Fu Lee; Rawan Naous; Yu-Lin Chen; Chieh-Pu Lo; Cheng-Han Lu; Haruki Mori; Wei-Cheng Zhao; Dar Sun; et al. (IEEE International Solid-State Circuits Conference, ISSCC 2021, San Francisco, CA, USA, February 13-22, 2021, 2021)

A 22nm 4Mb 8b-Precision ReRAM Computing-in-Memory Macro with 11.91 to 195.7TOPS/W for Tiny AI Edge Devices - Cheng-Xin Xue; Je-Min Hung; Hui-Yao Kao; Yen-Hsiang Huang; Sheng-Po Huang; Fu-Chun Chang; Peng Chen; Ta-Wei Liu; Chuan-Jia Jhang; Chin-I Su; Win-San Khwa; Chung-Chuan Lo; et al. (IEEE International Solid-State Circuits Conference, ISSCC 2021, San Francisco, CA, USA, February 13-22, 2021, 2021)

The CS1 Reviewer App: Choose Your Own Adventure or Choose for Me! - Anshul Shah; Jonathan Liu; Kristin Stephens-Martinez; Susan H. Rodger (ITiCSE '21: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V.1, Virtual Event, Germany, June 26 - July 1, 2021, 2021)

Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors - Zhaoqiang Liu; Subhroshekhar Ghosh; Jonathan Scarlett (IEEE Information Theory Workshop, ITW 2021, Kanazawa, Japan, October 17-21, 2021, 2021)

Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications - Leonard Berrada; Sumanth Dathathri; Krishnamurthy Dvijotham; Robert Stanforth; Rudy Bunel; Jonathan Uesato; Sven Gowal; M. Pawan Kumar (Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 2021)

Mitigating Covariate Shift in Imitation Learning via Offline Data With Partial Coverage - Jonathan D. Chang; Masatoshi Uehara; Dhruv Sreenivas; Rahul Kidambi; Wen Sun (Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 2021)

MobILE: Model-Based Imitation Learning From Observation Alone - Rahul Kidambi; Jonathan D. Chang; Wen Sun (Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 2021)

Multimodal single cell data integration challenge: Results and lessons learned - Christopher Lance; Malte D. Lücken; Daniel B. Burkhardt; Robrecht Cannoodt; Pia Rautenstrauch; Anna Laddach; Aidyn Ubingazhibov; Zhi-Jie Cao; Kaiwen Deng; Sumeer Khan; Qiao Liu; Nikolay Russkikh; et al. (NeurIPS 2021 Competitions and Demonstrations Track, 6-14 December 2021, Online, 2021)

Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors - Zhaoqiang Liu; Subhroshekhar Ghosh; Jonathan Scarlett (Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 2021)

A sandbox for prediction and integration of DNA, RNA, and proteins in single cells - Malte Lücken; Daniel Burkhardt; Robrecht Cannoodt; Christopher Lance; Aditi Agrawal; Hananeh Aliee; Ann Chen; Louise Deconinck; Angela Detweiler; Alejandro Granados; Shelly Huynh; Laura Isacco; et al. (Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual, 2021)

High Speed and Low Dark Current InGaAs Photodiodes on CMOS-Compatible Silicon by Heteroepitaxy - Bowen Song; Bei Shi; Si Zhu; Simone Tommaso Suran Brunelli; Jonathan Klamkin (Optical Fiber Communications Conference and Exhibition, OFC 2021, San Francisco, CA, USA, June 6-10, 2021, 2021)

Towards Low Computational Complexity for Neural Network-Based Equalization in PAM4 Short-Reach Direct Detection Systems by Multi-Symbol Prediction - Zhaopeng Xu; Chuanbowen Sun; Shuangyu Dong; Jonathan H. Manton; William Shieh (Optical Fiber Communications Conference and Exhibition, OFC 2021, San Francisco, CA, USA, June 6-10, 2021, 2021)

Ensemble of Local Decision Trees for Anomaly Detection in Mixed Data - Sunil Aryal; Jonathan R. Wells (Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part I, 2021)

An Analysis Of Entire Space Multi-Task Models For Post-Click Conversion Prediction - Conor O'Brien; Kin Sum Liu; James Neufeld; Rafael Barreto; Jonathan J. Hunt (RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021 - 1 October 2021, 2021)

Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models - Matteo Alleman; Jonathan Mamou; Miguel A. Del Rio; Hanlin Tang; Yoon Kim; SueYeon Chung (Proceedings of the 6th Workshop on Representation Learning for NLP, RepL4NLP@ACL-IJCNLP 2021, Online, August 6, 2021, 2021)

Revisiting Pretraining with Adapters - Seungwon Kim; Alex Shum; Nathan Susanj; Jonathan Hilgart (Proceedings of the 6th Workshop on Representation Learning for NLP, RepL4NLP@ACL-IJCNLP 2021, Online, August 6, 2021, 2021)

Modular simulation framework for Electro-ribbon Actuators - Bruno Castro; Richard Suphapol Diteesawat; Majid Taghavi; Jonathan Rossiter (4th IEEE International Conference on Soft Robotics, RoboSoft 2021, New Haven, CT, USA, April 12-16, 2021, 2021)

Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study - Jianlan Luo; Oleg Sushkov; Rugile Pevceviciute; Wenzhao Lian; Chang Su; Mel Vecerík; Ning Ye; Stefan Schaal; Jonathan Scholz (Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021, 2021)

Pirates in Wonderland: Liquid Democracy has Bicriteria Guarantees - Jonathan A. Noel; Mashbat Suzuki; Adrian Vetta (Algorithmic Game Theory - 14th International Symposium, SAGT 2021, Aarhus, Denmark, September 21-24, 2021, Proceedings, 2021)

Improving the Calibration of Long Term Predictions of Heart Failure Rehospitalizations using Medical Concept Embedding - Sunil Vasu Kalmady; Weijie Sun; Justin A. Ezekowitz; Nowell Fine; Jonathan Howlett; Anamaria Savu; Russ Greiner; Padma Kaul (Proceedings of AAAI Symposium on Survival Prediction - Algorithms, Challenges and Applications, SPACA 2021, Stanford University, Palo Alto, CA, USA, March 22-24, 2021, 2021)

Teaching Computer System Courses with an Online Large-Scale Method - Ke Zhang; Congwu Zhang; Yisong Chang; Yungang Bao; Mingyu Chen; Longbing Zhang; Zhiwei Xu; Jonathan Gratch; Jian Zhang; Ninghui Sun (2021 IEEE International Conference on Engineering, Technology & Education (TALE), Wuhan, Hubei Province, China, December 5-8, 2021, 2021)

Mobile, Inflatable Interface to Support Human Robot Interaction Studies - Jonathan Jaramillo; Andrew Lin; Emma Sung; Isabel Jane Hunt Richter; Kirstin Petersen (18th International Conference on Ubiquitous Robots, UR 2021, Gangneung, South Korea), July 12-14, 2021, 2021)

SciBiD: Novel Scientometrics and NoSQL-enabled Scalable and domain-specific Analysis of Big Scholar Data - Mahdi Bohlouli; Jonathan Hermann; Fabian Sunnus (Companion of The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021, 2021)

UIUC-PPL/charm: v7.0.0-rc1 (Version v7.0.0-rc1) - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2021)
Accessed on YYYY-MM-DD.

UIUC-PPL/charm: v7.0.0-rc2 (Version v7.0.0-rc2) - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2021)
Accessed on YYYY-MM-DD.

UIUC-PPL/charm: Charm++ version 7.0.0 (Version v7.0.0) - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2021)
Accessed on YYYY-MM-DD.

Sentiment Analysis for Open Domain Conversational Agent - Mohamad Alissa; Issa Haddad; Jonathan Meyer; Jade Obeid; Kostis Vilaetis; Nicolas Wiecek; Sukrit Wongariyakavee (CoRR, 2021)

SE(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials - Simon L. Batzner; Tess E. Smidt; Lixin Sun; Jonathan P. Mailoa; Mordechai Kornbluth; Nicola Molinari; Boris Kozinsky (CoRR, 2021)

SRDTI: Deep learning-based super-resolution for diffusion tensor MRI - Qiyuan Tian; Ziyu Li; Qiuyun Fan; Chanon Ngamsombat; Yuxin Hu; Congyu Liao; Fuyixue Wang; Kawin Setsompop; Jonathan R. Polimeni; Berkin Bilgic; Susie Yi Huang (CoRR, 2021)

Verifying Probabilistic Specifications with Functional Lagrangians - Leonard Berrada; Sumanth Dathathri; Krishnamurthy Dvijotham; Robert Stanforth; Rudy Bunel; Jonathan Uesato; Sven Gowal; M. Pawan Kumar (CoRR, 2021)

Optimism is All You Need: Model-Based Imitation Learning From Observation Alone - Rahul Kidambi; Jonathan D. Chang; Wen Sun (CoRR, 2021)

Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study - Jianlan Luo; Oleg Sushkov; Rugile Pevceviciute; Wenzhao Lian; Chang Su; Mel Vecerík; Ning Ye; Stefan Schaal; Jonathan Scholz (CoRR, 2021)

Predicting brain-age from raw T1-weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks - Lukas Fisch; Jan Ernsting; Nils R. Winter; Vincent Holstein; Ramona Leenings; Marie Beisemann; Kelvin Sarink; Daniel Emden; Nils Opel; Ronny Redlich; Jonathan Repple; Dominik Grotegerd; et al. (CoRR, 2021)

Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability - Carmen Jimenez-Mesa; Javier Ramírez; John Suckling; Jonathan Vöglein; Johannes Levin; Juan Manuel Górriz; Alzheimer's Disease Neuroimaging Initiative; Dominantly Inherited Alzheimer Network (DIAN) (CoRR, 2021)

Local Metrics for Multi-Object Tracking - Jack Valmadre; Alex Bewley; Jonathan Huang; Chen Sun; Cristian Sminchisescu; Cordelia Schmid (CoRR, 2021)

Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge - Prithwish Chakraborty; James V. Codella; Piyush Madan; Ying Li; Hu Huang; Yoonyoung Park; Chao Yan; Ziqi Zhang; Cheng Gao; Steve Nyemba; Xu Min; Sanjib Basak; et al. (CoRR, 2021)

Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models - Matteo Alleman; Jonathan Mamou; Miguel A. Del Rio; Hanlin Tang; Yoon Kim; SueYeon Chung (CoRR, 2021)

Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers - Jonathan W. Lee; George Gunter; Rabie Ramadan; Sulaiman Almatrudi; Paige Arnold; John Aquino; William Barbour; Rahul Bhadani; Joy Carpio; Fang-Chieh Chou; Marsalis T. Gibson; Xiaoqian Gong; et al. (CoRR, 2021)

Bayesian Numerical Methods for Nonlinear Partial Differential Equations - Junyang Wang; Jon Cockayne; Oksana A. Chkrebtii; Timothy John Sullivan; Chris J. Oates (CoRR, 2021)

Dynamic QoS-Aware Traffic Planning for Time-Triggered Flows with Conflict Graphs - Jonathan Falk; Heiko Geppert; Frank Dürr; Sukanya Bhowmik; Kurt Rothermel (CoRR, 2021)

Pirates in Wonderland: Liquid Democracy has Bicriteria Guarantees - Jonathan A. Noel; Mashbat Suzuki; Adrian Vetta (CoRR, 2021)

2021 Roadmap on Neuromorphic Computing and Engineering - Dennis V. Christensen; Regina Dittmann; Bernabé Linares-Barranco; Abu Sebastian; Manuel Le Gallo; Andrea Redaelli; Stefan Slesazeck; Thomas Mikolajick; Sabina Spiga; Stephan Menzel; Ilia Valov; Gianluca Milano; et al. (CoRR, 2021)

Gradual Program Analysis for Null Pointers - Sam Estep; Jenna Wise; Jonathan Aldrich; Éric Tanter; Johannes Bader; Joshua Sunshine (CoRR, 2021)

A Probabilistic Forecast-Driven Strategy for a Risk-Aware Participation in the Capacity Firming Market - Jonathan Dumas; Colin Cointe; Antoine Wehenkel; Antonio Sutera; Xavier Fettweis; Bertrand Cornélusse (CoRR, 2021)

Mitigating Covariate Shift in Imitation Learning via Offline Data Without Great Coverage - Jonathan D. Chang; Masatoshi Uehara; Dhruv Sreenivas; Rahul Kidambi; Wen Sun (CoRR, 2021)

Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development - Rafael Ferreira da Silva; Henri Casanova; Kyle Chard; Tainã Coleman; Dan Laney; Dong H. Ahn; Shantenu Jha; Dorran Howell; Stian Soiland-Reyes; Ilkay Altintas; Douglas Thain; Rosa Filgueira; et al. (CoRR, 2021)

Deep generative modeling for probabilistic forecasting in power systems - Jonathan Dumas; Antoine Wehenkel; Damien Lanaspeze; Bertrand Cornélusse; Antonio Sutera (CoRR, 2021)

Electromechanical modeling of human ventricles with ischemic cardiomyopathy: numerical simulations in sinus rhythm and under arrhythmia - Matteo Salvador; Marco Fedele; Pasquale Claudio Africa; Eric Sung; Luca Dedè; Adityo Prakosa; Jonathan Chrispin; Natalia A. Trayanova; Alfio Quarteroni (CoRR, 2021)

Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors - Zhaoqiang Liu; Subhroshekhar Ghosh; Jonathan Scarlett (CoRR, 2021)

A Systematic Evaluation of Domain Adaptation in Facial Expression Recognition - Yan San Kong; Varsha Suresh; Jonathan Soh; Desmond C. Ong (CoRR, 2021)

Unity Perception: Generate Synthetic Data for Computer Vision - Steve Borkman; Adam Crespi; Saurav Dhakad; Sujoy Ganguly; Jonathan Hogins; You-Cyuan Jhang; Mohsen Kamalzadeh; Bowen Li; Steven Leal; Pete Parisi; Cesar Romero; Wesley Smith; et al. (CoRR, 2021)

An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling - Tim Hahn; Jan Ernsting; Nils R. Winter; Vincent Holstein; Ramona Leenings; Marie Beisemann; Lukas Fisch; Kelvin Sarink; Daniel Emden; Nils Opel; Ronny Redlich; Jonathan Repple; et al. (CoRR, 2021)

Readability Research: An Interdisciplinary Approach - Sofie Beier; Sam Berlow; Esat Boucaud; Zoya Bylinskii; Tianyuan Cai; Jenae Cohn; Kathy Crowley; Stephanie L. Day; Tilman Dingler; Jonathan Dobres; Jennifer Healey; Rajiv Jain; et al. (CoRR, 2021)

Genetic, Individual, and Familial Risk Correlates of Brain Network Controllability in Major Depressive Disorder - Tim Hahn; Nils R. Winter; Jan Ernsting; Marius Gruber; Marco J. Mauritz; Lukas Fisch; Ramona Leenings; Kelvin Sarink; Julian Blanke; Vincent Holstein; Daniel Emden; Marie Beisemann; et al. (CoRR, 2021)

A Network Control Theory Approach to Longitudinal Symptom Dynamics in Major Depressive Disorder - Tim Hahn; Hamidreza Jamalabadi; Daniel Emden; Janik Goltermann; Jan Ernsting; Nils R. Winter; Lukas Fisch; Ramona Leenings; Kelvin Sarink; Vincent Holstein; Marius Gruber; Dominik Grotegerd; et al. (CoRR, 2021)

Amortized Neural Networks for Low-Latency Speech Recognition - Jonathan Macoskey; Grant P. Strimel; Jinru Su; Ariya Rastrow (CoRR, 2021)

Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors - Zhaoqiang Liu; Subhroshekhar Ghosh; Jun Han; Jonathan Scarlett (CoRR, 2021)

Reachability Analysis of Neural Feedback Loops - Michael Everett; Golnaz Habibi; Chuangchuang Sun; Jonathan P. How (CoRR, 2021)

Combination of Transfer Learning, Recursive Learning and Ensemble Learning for Multi-Day Ahead COVID-19 Cases Prediction in India using Gated Recurrent Unit Networks - Debasrita Chakraborty; Debayan Goswami; Susmita Ghosh; Ashish Ghosh; Jonathan H. Chan (CoRR, 2021)

An Analysis Of Entire Space Multi-Task Models For Post-Click Conversion Prediction - Conor O'Brien; Kin Sum Liu; James Neufeld; Rafael Barreto; Jonathan J. Hunt (CoRR, 2021)

ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation - Chuangchuang Sun; Dong-Ki Kim; Jonathan P. How (CoRR, 2021)

Challenges in Detoxifying Language Models - Johannes Welbl; Amelia Glaese; Jonathan Uesato; Sumanth Dathathri; John Mellor; Lisa Anne Hendricks; Kirsty Anderson; Pushmeet Kohli; Ben Coppin; Po-Sen Huang (CoRR, 2021)

HybridSDF: Combining Free Form Shapes and Geometric Primitives for effective Shape Manipulation - Subeesh Vasu; Nicolas Talabot; Artem Lukoianov; Pierre Baqué; Jonathan Donier; Pascal Fua (CoRR, 2021)

Equivariant Neural Network for Factor Graphs - Fan-Yun Sun; Jonathan Kuck; Hao Tang; Stefano Ermon (CoRR, 2021)

Offline Meta-Reinforcement Learning for Industrial Insertion - Tony Z. Zhao; Jianlan Luo; Oleg Sushkov; Rugile Pevceviciute; Nicolas Heess; Jonathan Scholz; Stefan Schaal; Sergey Levine (CoRR, 2021)

Ego4D: Around the World in 3, 000 Hours of Egocentric Video - Kristen Grauman; Andrew Westbury; Eugene Byrne; Zachary Chavis; Antonino Furnari; Rohit Girdhar; Jackson Hamburger; Hao Jiang; Miao Liu; Xingyu Liu; Miguel Martin; Tushar Nagarajan; et al. (CoRR, 2021)

Multitask Prompted Training Enables Zero-Shot Task Generalization - Victor Sanh; Albert Webson; Colin Raffel; Stephen H. Bach; Lintang Sutawika; Zaid Alyafeai; Antoine Chaffin; Arnaud Stiegler; Teven Le Scao; Arun Raja; Manan Dey; M. Saiful Bari; et al. (CoRR, 2021)

On-device Real-time Hand Gesture Recognition - George Sung; Kanstantsin Sokal; Esha Uboweja; Valentin Bazarevsky; Jonathan Baccash; Eduard Gabriel Bazavan; Chuo-Ling Chang; Matthias Grundmann (CoRR, 2021)

SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI - Qiyuan Tian; Ziyu Li; Qiuyun Fan; Jonathan R. Polimeni; Berkin Bilgic; David H. Salat; Susie Yi Huang (CoRR, 2021)

Vaccine Search Patterns Provide Insights into Vaccination Intent - Sean Malahy; Mimi Sun; Keith Spangler; Jessica Leibler; Kevin Lane; Shailesh Bavadekar; Chaitanya Kamath; Akim Kumok; Yuantong Sun; Jai Gupta; Tague Griffith; Adam Boulanger; et al. (CoRR, 2021)

Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation - Todor Davchev; Oleg Sushkov; Jean-Baptiste Regli; Stefan Schaal; Yusuf Aytar; Markus Wulfmeier; Jon Scholz (CoRR, 2021)

Towards a Network Control Theory of Electroconvulsive Therapy Response - Tim Hahn; Hamidreza Jamalabadi; Erfan Nozari; Nils R. Winter; Jan Ernsting; Marius Gruber; Marco J. Mauritz; Pascal Grumbach; Lukas Fisch; Ramona Leenings; Kelvin Sarink; Julian Blanke; et al. (CoRR, 2021)

PeopleSansPeople: A Synthetic Data Generator for Human-Centric Computer Vision - Salehe Erfanian Ebadi; You-Cyuan Jhang; Alexander Zook; Saurav Dhakad; Adam Crespi; Pete Parisi; Steve Borkman; Jonathan Hogins; Sujoy Ganguly (CoRR, 2021)

Scaling Language Models: Methods, Analysis & Insights from Training Gopher - Jack W. Rae; Sebastian Borgeaud; Trevor Cai; Katie Millican; Jordan Hoffmann; H. Francis Song; John Aslanides; Sarah Henderson; Roman Ring; Susannah Young; Eliza Rutherford; Tom Hennigan; et al. (CoRR, 2021)

Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health - Ryan T. Scott; Erik L. Antonsen; Lauren M. Sanders; Jaden J. A. Hastings; Seung-Min Park; Graham Mackintosh; Robert J. Reynolds; Adrienne L. Hoarfrost; Aenor Sawyer; Casey S. Greene; Benjamin S. Glicksberg; Corey A. Theriot; et al. (CoRR, 2021)

Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs - Lauren M. Sanders; Jason H. Yang; Ryan T. Scott; Amina Ann Qutub; Héctor García Martín; Daniel C. Berrios; Jaden J. A. Hastings; Jon Rask; Graham Mackintosh; Adrienne L. Hoarfrost; Stuart J. Chalk; John Kalantari; et al. (CoRR, 2021)

Incorporating Intelligence in Fish Feeding System for Dispensing Feed Based on Fish Feeding Intensity - Mutiu Adesina Adegboye; Abiodun M. Aibinu; Jonathan Gana Kolo; Ibrahim Aliyu; Taliha A. Folorunso; Sun-Ho Lee (IEEE Access, 2020)

IoT-Based Laser-Inscribed Sensors for Detection of Sulfate in Water Bodies - Shan He; Shilun Feng; Anindya Nag; Nasrin Afsarimanesh; Md Eshrat E. Alahi; Siying Li; Subhas Chandra Mukhopadhyay; Jonathan Woon Chung Wong (IEEE Access, 2020)

A Reflective-Mode Phase-Variation Displacement Sensor - Jonathan Muñoz-Enano; Paris Vélez; Lijuan Su; Marta Gil-Barba; Ferran Martín (IEEE Access, 2020)

Statistical characterization of frost zones: Case of tea freeze damage in the Kenyan highlands - Susan M. Kotikot; Africa Flores; Robert E. Griffin; James Nyaga; Jonathan L. Case; Robinson Mugo; Absae Sedah; Emily Adams; Ashutosh S. Limaye; Daniel E. Irwin (Int. J. Appl. Earth Obs. Geoinformation, 2020)

iBioProVis: interactive visualization and analysis of compound bioactivity space - Ataberk Donmez; Ahmet Süreyya Rifaioglu; Aybar C. Acar; Tunca Dogan; Rengül Çetin-Atalay; Volkan Atalay; Wren Jonathan (Bioinform., 2020)

RTExtract: time-series NMR spectra quantification based on 3D surface ridge tracking - Yue Wu; Michael T. Judge; Jonathan P. Arnold; Suchendra M. Bhandarkar; Arthur Edison (Bioinform., 2020)

A Graphical-User-Interface application for multifractal analysis of soil and plant structures - Liwen Han; Franziska Srocke; Ondrej Masek; Donald L. Smith; Jonathan A. Lafond; Suzanne Allaire; Pierre Dutilleul (Comput. Electron. Agric., 2020)

Fast, flexible particle simulations - An introduction to MercuryDPM - Thomas Weinhart; Luca Orefice; Mitchel Post; Marnix P. van Schrojenstein Lantman; Irana F. C. Denissen; Deepak R. Tunuguntla; Jonathan Tsang; Hongyang Cheng; Mohamad Yousef Shaheen; Hao Shi; Paolo Rapino; Elena Grannonio; et al. (Comput. Phys. Commun., 2020)

PACT: Privacy-Sensitive Protocols And Mechanisms for Mobile Contact Tracing - Justin Chan; Landon P. Cox; Dean P. Foster; Shyam Gollakota; Eric Horvitz; Joseph Jaeger; Sham M. Kakade; Tadayoshi Kohno; John Langford; Jonathan Larson; Puneet Sharma; Sudheesh Singanamalla; et al. (IEEE Data Eng. Bull., 2020)

On central-peripheral appendage numbers of uniform central graphs - Sul-Young Choi; Jonathan Needleman (Electron. J. Graph Theory Appl., 2020)

Coverless information hiding based on the generation of anime characters - Yi Cao; Zhili Zhou; Q. M. Jonathan Wu; Chengsheng Yuan; Xingming Sun (EURASIP J. Image Video Process., 2020)

Leveraging mobility and content caching for proactive load balancing in heterogeneous cellular networks - Sanaullah Manzoor; Suleman Mazhar; Ahmad Asghar; Adnan Noor Mian; Ali Imran; Jon Crowcroft (Trans. Emerg. Telecommun. Technol., 2020)

A Limb Hypothermia Wearable for Chemotherapy-Induced Peripheral Neuropathy: A Mixed-Methods Approach in Medical Product Development - Jonathan Binder; Ertu Unver; Jane Clayton; Patrick Burke; Richard Paxman; Raghav Sundar; Aishwarya Bandla (Frontiers Digit. Health, 2020)

Closed-Loop Control of Electro-Ribbon Actuators - Richard Suphapol Diteesawat; Aaron Fishman; Tim Helps; Majid Taghavi; Jonathan Rossiter (Frontiers Robotics AI, 2020)

SuperOrder: Provider order recommendation system for outpatient clinics - Yi-Shan Sung; Ronald W. Dravenstott; Jonathan D. Darer; Priyantha D. Devapriya; Soundar R. T. Kumara (Health Informatics J., 2020)

Performance of RLNC for Underwater Broadcasting - Victor Sucasas; Oleksiy Kebkal; Ioannis Selinis; Vahid Seiamak; Shahid Mumtaz; Jonathan Rodriguez (IEEE Netw. Lett., 2020)

Completion of Missing Labels for Multi-Label Annotation by a Unified Graph Laplacian Regularization - Jonathan Mojoo; Yu Zhao; Muthu Subash Kavitha; Jun'ichi Miyao; Takio Kurita (IEICE Trans. Inf. Syst., 2020)

Convolution-deconvolution word embedding: An end-to-end multi-prototype fusion embedding method for natural language processing - Kai Shuang; Zhixuan Zhang; Jonathan Loo; Sen Su (Inf. Fusion, 2020)

Predicting Small Molecule Transfer Free Energies by Combining Molecular Dynamics Simulations and Deep Learning - W. F. Drew Bennett; Stewart He; Camille L. Bilodeau; Derek Jones; Delin Sun; Hyojin Kim; Jonathan E. Allen; Felice C. Lightstone; Helgi I. Ingólfsson (J. Chem. Inf. Model., 2020)

BRIDGE: An Open Platform for Reproducible High-Throughput Free Energy Simulations - Tharindu Senapathi; Miroslav Suruzhon; Christopher B. Barnett; Jonathan W. Essex; Kevin J. Naidoo (J. Chem. Inf. Model., 2020)

ProtoCaller: Robust Automation of Binding Free Energy Calculations - Miroslav Suruzhon; Tharindu Senapathi; Michael S. Bodnarchuk; Russell C. Viner; Ian D. Wall; Christopher B. Barnett; Kevin J. Naidoo; Jonathan W. Essex (J. Chem. Inf. Model., 2020)

Semi-supervised stacked autoencoder-based deep hierarchical semantic feature for real-time fingerprint liveness detection - Chengsheng Yuan; Xianyi Chen; Peipeng Yu; Ruohan Meng; Weijin Cheng; Q. M. Jonathan Wu; Xingming Sun (J. Real Time Image Process., 2020)

A 7.3 M Output Non-Zeros/J, 11.7 M Output Non-Zeros/GB Reconfigurable Sparse Matrix-Matrix Multiplication Accelerator - Dong-Hyeon Park; Subhankar Pal; Siying Feng; Paul Gao; Jielun Tan; Austin Rovinski; Shaolin Xie; Chun Zhao; Aporva Amarnath; Timothy Wesley; Jonathan Beaumont; Kuan-Yu Chen; et al. (IEEE J. Solid State Circuits, 2020)

Simple supervised dissimilarity measure: Bolstering iForest-induced similarity with class information without learning - Jonathan R. Wells; Sunil Aryal; Kai Ming Ting (Knowl. Inf. Syst., 2020)

Expression Atlas update: from tissues to single cells - Irene Papatheodorou; Pablo A. Moreno; Jonathan R. Manning; Alfonso Muñoz-Pomer Fuentes; Nancy George; Silvie Fexova; Nuno A. Fonseca; Anja Füllgrabe; Matthew Green; Ni Huang; Laura Huerta; Haider Iqbal; et al. (Nucleic Acids Res., 2020)

PDBe-KB: a community-driven resource for structural and functional annotations - Mihaly Varadi; John M. Berrisford; Mandar S. Deshpande; Sreenath Nair; Aleksandras Gutmanas; David R. Armstrong; Lukás Pravda; Bissan Al-Lazikani; Stephen Anyango; Geoffrey J. Barton; Karel Berka; Tom L. Blundell; et al. (Nucleic Acids Res., 2020)

From local explanations to global understanding with explainable AI for trees - Scott M. Lundberg; Gabriel G. Erion; Hugh Chen; Alex J. DeGrave; Jordan M. Prutkin; Bala Nair; Ronit Katz; Jonathan Himmelfarb; Nisha Bansal; Su-In Lee (Nat. Mach. Intell., 2020)

Genomic basis for RNA alterations in cancer - Claudia Calabrese; Natalie R. Davidson; Deniz Demircioglu; Nuno A. Fonseca; Yao He; André Kahles; Kjong-Van Lehmann; Fenglin Liu; Yuichi Shiraishi; Cameron M. Soulette; Lara Urban; Liliana Greger; et al. (Nat., 2020)

Analyses of non-coding somatic drivers in 2,658 cancer whole genomes - Esther Rheinbay; Morten Muhlig Nielsen; Federico Abascal; Jeremiah Wala; Ofer Shapira; Grace Tiao; Henrik Hornshøj; Julian M. Hess; Randi Istrup Juul; Ziao Lin; Lars Feuerbach; Radhakrishnan Sabarinathan; et al. (Nat., 2020)

Whole-genome sequencing of patients with rare diseases in a national health system - Ernest Turro; William J. Astle; Karyn Megy; Stefan Gräf; Daniel Greene; Olga Shamardina; Hana Lango Allen; Alba Sanchis-Juan; Mattia Frontini; Chantal Thys; Jonathan Stephens; Rutendo Mapeta; et al. (Nat., 2020)

Functional brain connectivity in ex utero premature infants compared to in utero fetuses - Josepheen De Asis-Cruz; Kushal Kapse; Sudeepta K. Basu; Mariam Said; Dustin Scheinost; Jonathan Murnick; Taeun Chang; Adré du Plessis; Catherine Limperopoulos (NeuroImage, 2020)

Prediction-error signals to violated expectations about person identity and head orientation are doubly-dissociated across dorsal and ventral visual stream regions - Jonathan E. Robinson; Will P. Woods; Sumie Leung; Jordy Kaufman; Michael Breakspear; Andrew W. Young; Patrick J. Johnston (NeuroImage, 2020)

DeepDTI: High-fidelity six-direction diffusion tensor imaging using deep learning - Qiyuan Tian; Berkin Bilgic; Qiuyun Fan; Congyu Liao; Chanon Ngamsombat; Yuxin Hu; Thomas Witzel; Kawin Setsompop; Jonathan R. Polimeni; Susie Yi Huang (NeuroImage, 2020)

Neuroimaging young children and associations with neurocognitive development in a South African birth cohort study - Catherine J. Wedderburn; Sivenesi Subramoney; Shunmay Yeung; Jean-Paul Fouche; Shantanu H. Joshi; Katherine L. Narr; Andrea M. Rehman; Annerine Roos; Jonathan Ipser; Frances C. Robertson; Nynke A. Groenewold; Diana M. Gibb; et al. (NeuroImage, 2020)

Continuous, noninvasive wireless monitoring of flow of cerebrospinal fluid through shunts in patients with hydrocephalus - Siddharth R. Krishnan; Hany M. Arafa; Kyeongha Kwon; Yujun Deng; Chun-Ju Su; Jonathan T. Reeder; Juliet Freudman; Izabela Stankiewicz; Hsuan-Ming Chen; Robert Loza; Marcus Mims; Mitchell Mims; et al. (npj Digit. Medicine, 2020)

A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients - Narges Razavian; Vincent J. Major; Mukund Sudarshan; Jesse Burk-Rafel; Peter Stella; Hardev Randhawa; Seda Bilaloglu; Ji Chen; Vuthy Nguy; Walter Wang; Hao Zhang; Ilan Reinstein; et al. (npj Digit. Medicine, 2020)

Can advanced type systems be usable? An empirical study of ownership, assets, and typestate in Obsidian - Michael J. Coblenz; Jonathan Aldrich; Brad A. Myers; Joshua Sunshine (Proc. ACM Program. Lang., 2020)

Gradual verification of recursive heap data structures - Jenna Wise; Johannes Bader; Cameron Wong; Jonathan Aldrich; Éric Tanter; Joshua Sunshine (Proc. ACM Program. Lang., 2020)

Patterns of Reliability: Assessing the Reproducibility and Integrity of DNA Methylation Measurement - Karen Sugden; Eilis J. Hannon; Louise Arseneault; Daniel W. Belsky; David L. Corcoran; Helen L. Fisher; Renate M. Houts; Radhika Kandaswamy; Terrie E. Moffitt; Richie Poulton; Joseph A. Prinz; Line J. H. Rasmussen; et al. (Patterns, 2020)

A compiler for biological networks on silicon chips - J. Kyle Medley; Jonathan J. Y. Teo; Sung Sik Woo; Joseph L. Hellerstein; Rahul Sarpeshkar; Herbert M. Sauro (PLoS Comput. Biol., 2020)

Short-wavelength-sensitive 2 (Sws2) visual photopigment models combined with atomistic molecular simulations to predict spectral peaks of absorbance - Dharmeshkumar Patel; Jonathan E. Barnes; Wayne I. L. Davies; Deborah L. Stenkamp; Jagdish Suresh Patel (PLoS Comput. Biol., 2020)

SPORES: Sum-Product Optimization via Relational Equality Saturation for Large Scale Linear Algebra - Yisu Remy Wang; Shana Hutchison; Dan Suciu; Bill Howe; Jonathan Leang (Proc. VLDB Endow., 2020)

An Evaluation of Low-Cost Vision Processors for Efficient Star Identification - Surabhi Agarwal; Elena Hervas-Martin; Jonathan Byrne; Aubrey K. Dunne; José Luis Espinosa-Aranda; David Rijlaarsdam (Sensors, 2020)

Highly Sensitive Reflective-Mode Defect Detectors and Dielectric Constant Sensors Based on Open-Ended Stepped-Impedance Transmission Lines - Pau Casacuberta; Jonathan Muñoz-Enano; Paris Vélez; Lijuan Su; Marta Gil; Ferran Martín (Sensors, 2020)

Data-Driven Modeling of Smartphone-Based Electrochemiluminescence Sensor Data Using Artificial Intelligence - Elmer Ccopa Rivera; Jonathan J. Swerdlow; Rodney L. Summerscales; Padma P. Tadi Uppala; Rubens Maciel Filho; Mabio R. C. Neto; Hyun J. Kwon (Sensors, 2020)

Computational MRI With Physics-Based Constraints: Application to Multicontrast and Quantitative Imaging - Jonathan I. Tamir; Frank Ong; Suma Anand; Ekin Karasan; Ke Wang; Michael Lustig (IEEE Signal Process. Mag., 2020)

Deep Residual Network With Adaptive Learning Framework for Fingerprint Liveness Detection - Chengsheng Yuan; Zhihua Xia; Xingming Sun; Q. M. Jonathan Wu (IEEE Trans. Cogn. Dev. Syst., 2020)

Bridging User Interest to Item Content for Recommender Systems: An Optimization Model - Haijun Zhang; Yanfang Sun; Mingbo Zhao; Tommy W. S. Chow; Q. M. Jonathan Wu (IEEE Trans. Cybern., 2020)

Integrating SIFT and CNN Feature Matching for Partial-Duplicate Image Detection - Zhili Zhou; Q. M. Jonathan Wu; Shaohua Wan; Wendi Sun; Xingming Sun (IEEE Trans. Emerg. Top. Comput. Intell., 2020)

A Signature Scheme with Unlinkable-yet-Accountable Pseudonymity for Privacy-Preserving Crowdsensing - Victor Sucasas; Georgios Mantas; Joaquim Bastos; Francisco Damião; Jonathan Rodriguez (IEEE Trans. Mob. Comput., 2020)

Major-Minor Long Short-Term Memory for Word-Level Language Model - Kai Shuang; Rui Li; Mengyu Gu; Jonathan Loo; Sen Su (IEEE Trans. Neural Networks Learn. Syst., 2020)

Light stage super-resolution: continuous high-frequency relighting - Tiancheng Sun; Zexiang Xu; Xiuming Zhang; Sean Ryan Fanello; Christoph Rhemann; Paul E. Debevec; Yun-Ta Tsai; Jonathan T. Barron; Ravi Ramamoorthi (ACM Trans. Graph., 2020)

Penrose: from mathematical notation to beautiful diagrams - Katherine Ye; Wode Ni; Max Krieger; Dor Ma'ayan; Jenna Wise; Jonathan Aldrich; Joshua Sunshine; Keenan Crane (ACM Trans. Graph., 2020)

Learning Semantic Representations from Directed Social Links to Tag Microblog Users at Scale - Wayne Xin Zhao; Yupeng Hou; Junhua Chen; Jonathan J. H. Zhu; Eddy Jing Yin; Hanting Su; Ji-Rong Wen (ACM Trans. Inf. Syst., 2020)

Region-Level Visual Consistency Verification for Large-Scale Partial-Duplicate Image Search - Zhili Zhou; Q. M. Jonathan Wu; Yimin Yang; Xingming Sun (ACM Trans. Multim. Comput. Commun. Appl., 2020)

Obsidian: Typestate and Assets for Safer Blockchain Programming - Michael J. Coblenz; Reed Oei; Tyler Etzel; Paulette Koronkevich; Miles Baker; Yannick Bloem; Brad A. Myers; Joshua Sunshine; Jonathan Aldrich (ACM Trans. Program. Lang. Syst., 2020)

Transmuter: Bridging the Efficiency Gap using Memory and Dataflow Reconfiguration - Subhankar Pal; Siying Feng; Dong-Hyeon Park; Sung Kim; Aporva Amarnath; Chi-Sheng Yang; Xin He; Jonathan Beaumont; Kyle May; Yan Xiong; Kuba Kaszyk; John Magnus Morton; et al. (PACT '20: International Conference on Parallel Architectures and Compilation Techniques, Virtual Event, GA, USA, October 3-7, 2020, 2020)

Model AI Assignments 2020 - Todd W. Neller; Stephen Keeley; Michael Guerzhoy; Wolfgang Hönig; Jiaoyang Li; Sven Koenig; Ameet Soni; Krista Thomason; Lisa Zhang; Bibin Sebastian; Cinjon Resnick; Avital Oliver; et al. (The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, 2020)

Obtaining Faithful Interpretations from Compositional Neural Networks - Sanjay Subramanian; Ben Bogin; Nitish Gupta; Tomer Wolfson; Sameer Singh; Jonathan Berant; Matt Gardner (Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020, 2020)

Iterations for Propensity Score Matching in MonetDB - Michael H. Böhlen; Oksana Dolmatova; Michael Krauthammer; Alphonse Mariyagnanaseelan; Jonathan Stahl; Timo Surbeck (Advances in Databases and Information Systems - 24th European Conference, ADBIS 2020, Lyon, France, August 25-27, 2020, Proceedings, 2020)

Assessing Clinical Staff Usability & Satisfaction with Documentation & Information Retrieval Prior to an Electronic Health Record Implementation - Jonathan Elias; Amanda J. Moy; Eugene Lucas; Jessica M. Schwartz; Kenrick Cato; Erika L. Abramson; Jessica S. Ancker; Susan B. Bostwick; Sarah Collins Rossetti (AMIA 2020, American Medical Informatics Association Annual Symposium, Virtual Event, USA, November 14-18, 2020, 2020)

A theoretical analysis of independent business owners' preferences for informal information sources - Joel Chan; Jonathan Brier; Zahra Farhadi; Myeong Lee; Shawn Janzen; Wei-wei Chi; Andrew Fellows; Susan J. Winter (Information for a Sustainable World: Addressing Society's Grand Challenges - Proceedings of the 83rd ASIS&T Annual Meeting, ASIST 2020, Virtual Conference, October 22 - November 1, 2020, 2020)

Innovative Audio Mosaic Technique by Permutations - Elaine Y.-N. Sun; Hsiao-Chun Wu; Costas Busch; Scott C.-H. Huang; Yen-Cheng Kuan; Jonathan Wu (IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2020, Paris, France, October 27-29, 2020, 2020)

Next Steps for Human-Computer Integration - Florian 'Floyd' Mueller; Pedro Lopes; Paul Strohmeier; Wendy Ju; Caitlyn E. Seim; Martin Weigel; Suranga Nanayakkara; Marianna Obrist; Zhuying Li; Joseph La Delfa; Jun Nishida; Elizabeth M. Gerber; et al. (CHI '20: CHI Conference on Human Factors in Computing Systems, Honolulu, HI, USA, April 25-30, 2020, 2020)

Infants' inferences about insides reveal parallel causal representations - Jonathan F. Kominsky; Yiping Li; Susan Carey (Proceedings of the 42th Annual Meeting of the Cognitive Science Society - Developing a Mind: Learning in Humans, Animals, and Machines, CogSci 2020, virtual, July 29 - August 1, 2020, 2020)

S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency - Mel Vecerík; Jean-Baptiste Regli; Oleg Sushkov; David Barker; Rugile Pevceviciute; Thomas Rothörl; Raia Hadsell; Lourdes Agapito; Jonathan Scholz (4th Conference on Robot Learning, CoRL 2020, 16-18 November 2020, Virtual Event / Cambridge, MA, USA, 2020)

The role of public funding in the initiation and upscaling of collective innovation trajectories - Boriana Rukanova; Suzanne Post; Yao-Hua Tan; Jonathan Migeotte; Micha Slegt; Susana Wong; Juha Hintsa (dg.o '20: The 21st Annual International Conference on Digital Government Research, Seoul, Republic of Korea, June 15-19, 2020, 2020)

Single View Metrology in the Wild - Rui Zhu; Xingyi Yang; Yannick Hold-Geoffroy; Federico Perazzi; Jonathan Eisenmann; Kalyan Sunkavalli; Manmohan Chandraker (Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XI, 2020)

EDGE: Microgrid Data Center with Mixed Energy Storage - Rickard Brännvall; Mikko Siltala; Jonas Gustafsson; Jeffrey Sarkinen; Mattias Vesterlund; Jon Summers (e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, Virtual Event, Australia, June 22-26, 2020, 2020)

A female-specific cardiovascular lumped-parameter model - Giulia Comunale; Francesca Maria Susin; Jonathan P. Mynard (42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2020, Montreal, QC, Canada, July 20-24, 2020, 2020)

Evaluating Models' Local Decision Boundaries via Contrast Sets - Matt Gardner; Yoav Artzi; Victoria Basmova; Jonathan Berant; Ben Bogin; Sihao Chen; Pradeep Dasigi; Dheeru Dua; Yanai Elazar; Ananth Gottumukkala; Nitish Gupta; Hannaneh Hajishirzi; et al. (Findings of the Association for Computational Linguistics: EMNLP 2020, Online Event, 16-20 November 2020, 2020)

PyMT5: multi-mode translation of natural language and Python code with transformers - Colin B. Clement; Dawn Drain; Jonathan Timcheck; Alexey Svyatkovskiy; Neel Sundaresan (Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020, 2020)

On Extractive and Abstractive Neural Document Summarization with Transformer Language Models - Jonathan Pilault; Raymond Li; Sandeep Subramanian; Chris Pal (Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020, 2020)

Fast and Exact Rule Mining with AMIE 3 - Jonathan Lajus; Luis Galárraga; Fabian M. Suchanek (The Semantic Web - 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31-June 4, 2020, Proceedings, 2020)

Emotion or expressivity? An automated analysis of nonverbal perception in a social dilemma - Su Lei; Kalin Stefanov; Jonathan Gratch (15th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2020, Buenos Aires, Argentina, November 16-20, 2020, 2020)

Assessing the Feasibility of using Augmented Reality to Visualize Interventional Radiology Imagery - Christopher Bartlett; Noelle LeRoy; Damian Schofield; Jonathan Ford; Summer Decker (Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020, Volume 3: IVAPP, Valletta, Malta, February 27-29, 2020, 2020)

Rapid Top-Down Synthesis of Large-Scale IoT Networks - Pradipta Ghosh; Jonathan Bunton; Dimitrios Pylorof; Marcos Augusto M. Vieira; Kevin Chan; Ramesh Govindan; Gaurav S. Sukhatme; Paulo Tabuada; Gunjan Verma (29th International Conference on Computer Communications and Networks, ICCCN 2020, Honolulu, HI, USA, August 3-6, 2020, 2020)

DiffTaichi: Differentiable Programming for Physical Simulation - Yuanming Hu; Luke Anderson; Tzu-Mao Li; Qi Sun; Nathan Carr; Jonathan Ragan-Kelley; Frédo Durand (8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020, 2020)

Two Routes to Scalable Credit Assignment without Weight Symmetry - Daniel Kunin; Aran Nayebi; Javier Sagastuy-Breña; Surya Ganguli; Jonathan M. Bloom; Daniel Yamins (Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event, 2020)

Emergence of Separable Manifolds in Deep Language Representations - Jonathan Mamou; Hang Le; Miguel Del Rio; Cory Stephenson; Hanlin Tang; Yoon Kim; SueYeon Chung (Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event, 2020)

Open-Ended-Line Reflective-Mode Phase-Variation Sensors for Dielectric Constant Measurements - Jonathan Muñoz-Enano; Pau Casacuberta; Lijuan Su; Paris Vélez; Marta Gil; Ferran Martín (2020 IEEE Sensors, Rotterdam, The Netherlands, October 25-28, 2020, 2020)

Optical Fiber-Tip Heat Sensor Featuring a Multipositional Fabry-Pérot Cavity Resonator - Jeremiah Williams; Jonathan Smith; Joseph S. Suelzer; Nicholas G. Usechak; Hengky Chandrahalim (2020 IEEE Sensors, Rotterdam, The Netherlands, October 25-28, 2020, 2020)

Digital Maturity in Theory and Practice: A Case Study of a Swedish Smart-Built Environment Firm - Jonathan Strömberg; Leif Sundberg; Annika Hasselblad (IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2020, Singapore, December 14-17, 2020, 2020)

Leveraging Fine-Grained Occupancy Estimation Patterns for Effective HVAC Control - Yukun Yuan; Kin Sum Liu; Sirajum Munir; Jonathan Francis; Charles Shelton; Shan Lin (Fifth IEEE/ACM International Conference on Internet-of-Things Design and Implementation, IoTDI 2020, Sydney, Australia, April 21-24, 2020, 2020)

DASSA: Parallel DAS Data Storage and Analysis for Subsurface Event Detection - Bin Dong; Verónica Rodríguez Tribaldos; Xin Xing; Suren Byna; Jonathan Ajo-Franklin; Kesheng Wu (2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), New Orleans, LA, USA, May 18-22, 2020, 2020)

A Whisker-inspired Fin Sensor for Multi-directional Airflow Sensing - Suhan Kim; Regan Kubicek; Aleix Paris; Andrea Tagliabue; Jonathan P. How; Sarah Bergbreiter (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021, 2020)

Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph - Chuangchuang Sun; Macheng Shen; Jonathan P. How (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021, 2020)

Touch the Wind: Simultaneous Airflow, Drag and Interaction Sensing on a Multirotor - Andrea Tagliabue; Aleix Paris; Suhan Kim; Regan Kubicek; Sarah Bergbreiter; Jonathan P. How (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021, 2020)

DRU-Net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation - Mina Jafari; Dorothee Auer; Susan T. Francis; Jonathan M. Garibaldi; Xin Chen (17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, Iowa City, IA, USA, April 3-7, 2020, 2020)

Brain Network Connectivity from Matching Cortical Feature Densities - David S. Lee; Kirsten A. Donald; Taykhoom Dalal; Catherine J. Wedderburn; Annerine Roos; Jonathan Ipser; Sivenesi Subramoney; Heather J. Zar; Dan J. Stein; Katherine L. Narr; Gerhard Hellemann; Roger P. Woods; et al. (17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, Iowa City, IA, USA, April 3-7, 2020, 2020)

15.3 A 351TOPS/W and 372.4GOPS Compute-in-Memory SRAM Macro in 7nm FinFET CMOS for Machine-Learning Applications - Qing Dong; Mahmut E. Sinangil; Burak Erbagci; Dar Sun; Win-San Khwa; Hung-Jen Liao; Yih Wang; Jonathan Chang (2020 IEEE International Solid- State Circuits Conference, ISSCC 2020, San Francisco, CA, USA, February 16-20, 2020, 2020)

Cross-lingual Structure Transfer for Zero-resource Event Extraction - Di Lu; Ananya Subburathinam; Heng Ji; Jonathan May; Shih-Fu Chang; Avirup Sil; Clare R. Voss (Proceedings of The 12th Language Resources and Evaluation Conference, LREC 2020, Marseille, France, May 11-16, 2020, 2020)

Advanced magnetic resonance imaging based algorithm for local grading of glioma - Evan D. H. Gates; Jonathan S. Lin; Jeffrey S. Weinberg; Sujit S. Prabhu; Jackson Hamilton; John D. Hazle; Gregory N. Fuller; Veera Baladandayuthapani; David T. Fuentes; Dawid Schellingerhout (Medical Imaging 2020: Computer-Aided Diagnosis, Houston, TX, USA, February 16-19, 2020, 2020)

Deep learning methods for segmentation of lines in pediatric chest radiographs - Ryan Sullivan; Gregory Holste; Jonathan Burkow; Adam M. Alessio (Medical Imaging 2020: Computer-Aided Diagnosis, Houston, TX, USA, February 16-19, 2020, 2020)

SPHN - The BioMedIT Network: A Secure IT Platform for Research with Sensitive Human Data - Diana Coman Schmid; Katrin Crameri; Sabine Oesterle; Bernd Rinn; Thierry Sengstag; Heinz Stockinger; Leila T. Alexander; Jonathan Barda; Christian Bolliger; Urban Borstnik; Gerhard Bräunlich; Olivier Byrde; et al. (Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28 - May 1, 2020, 2020)

Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming - Sumanth Dathathri; Krishnamurthy Dvijotham; Alexey Kurakin; Aditi Raghunathan; Jonathan Uesato; Rudy Bunel; Shreya Shankar; Jacob Steinhardt; Ian J. Goodfellow; Percy Liang; Pushmeet Kohli (Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020)

Predictive coding in balanced neural networks with noise, chaos and delays - Jonathan Kadmon; Jonathan Timcheck; Surya Ganguli (Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020)

1.6Tbps Silicon Photonics Integrated Circuit for Co-Packaged Optical-IO Switch Applications - Saeed Fathololoumi; Kimchau Nguyen; Hari Mahalingam; Meer Sakib; Zhi Li; Christopher Seibert; Mohammad Montazeri; Jian Chen; Jonathan K. Doylend; Hasitha Jayatilleka; Catherine Jan; John Heck; et al. (Optical Fiber Communications Conference and Exhibition, OFC 2020, San Diego, CA, USA, March 8-12, 2020, 2020)

Accelerating Artificial Intelligence with Silicon Photonics - Nicholas C. Harris; Ryan Braid; Darius Bunandar; Jim Carr; Brad Dobbie; Carlos Dorta-Quinones; Jon Elmhurst; Martin Forsythe; Michael Gould; Shashank Gupta; Sukeshwar Kannan; Tyler Kenney; et al. (Optical Fiber Communications Conference and Exhibition, OFC 2020, San Diego, CA, USA, March 8-12, 2020, 2020)

High Performance 1.3 \(μ\)m Aluminum-Free Quantum Dot Lasers Grown by MOCVD - Lei Wang; Hongwei Zhao; Bei Shi; Sergio Pinna; Simone Tommaso Suran Brunelli; Fengqiao Sang; Bowen Song; Jonathan Klamkin (Optical Fiber Communications Conference and Exhibition, OFC 2020, San Diego, CA, USA, March 8-12, 2020, 2020)

PGM_PyLib: A Toolkit for Probabilistic Graphical Models in Python - Jonathan Serrano-Pérez; Luis Enrique Sucar (International Conference on Probabilistic Graphical Models, PGM 2020, 23-25 September 2020, Aalborg, Hotel Comwell Rebild Bakker, Skørping, Denmark, 2020)

Scaling data-driven robotics with reward sketching and batch reinforcement learning - Serkan Cabi; Sergio Gómez Colmenarejo; Alexander Novikov; Ksenia Konyushkova; Scott E. Reed; Rae Jeong; Konrad Zolna; Yusuf Aytar; David Budden; Mel Vecerík; Oleg Sushkov; David Barker; et al. (Robotics: Science and Systems XVI, Virtual Event / Corvalis, Oregon, USA, July 12-16, 2020, 2020)

Discrimination Between Brain Cognitive States Using Shannon Entropy and Skewness Information Measure - Jeffery Jonathan Davis; Florian Schübeler; Sungchul Ji; Robert Kozma (2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020, Toronto, ON, Canada, October 11-14, 2020, 2020)

SurfaceFleet: Exploring Distributed Interactions Unbounded from Device, Application, User, and Time - Frederik Brudy; David Ledo; Michel Pahud; Nathalie Henry Riche; Christian Holz; Anand Waghmare; Hemant Bhaskar Surale; Marcus Peinado; Xiaokuan Zhang; Shannon Joyner; Badrish Chandramouli; Umar Farooq Minhas; et al. (UIST '20: The 33rd Annual ACM Symposium on User Interface Software and Technology, Virtual Event, USA, October 20-23, 2020, 2020)

A 22nm 96KX144 RRAM Macro with a Self-Tracking Reference and a Low Ripple Charge Pump to Achieve a Configurable Read Window and a Wide Operating Voltage Range - Chung-Cheng Chou; Zheng-Jun Lin; Chien-An Lai; Chin-I Su; Pei-Ling Tseng; Wei-Chi Chen; Wu-Chin Tsai; Wen-Ting Chu; Tong-Chern Ong; Harry Chuang; Yu-Der Chih; Tsung-Yung Jonathan Chang (IEEE Symposium on VLSI Circuits, VLSI Circuits 2020, Honolulu, HI, USA, June 16-19, 2020, 2020)

A Ray-Casting Accelerator in 10nm CMOS for Efficient 3D Scene Reconstruction in Edge Robotics and Augmented Reality Applications - Monodeep Kar; Amit Agarwal; Steven Hsu; David Moloney; Gregory K. Chen; Raghavan Kumar; Huseyin Sumbul; Phil C. Knag; Mark A. Anders; Himanshu Kaul; Jonathan Byrne; Luca Sarti; et al. (IEEE Symposium on VLSI Circuits, VLSI Circuits 2020, Honolulu, HI, USA, June 16-19, 2020, 2020)

An All-Weights-on-Chip DNN Accelerator in 22nm ULL Featuring 24 exttimes1 Mb eRRAM - Zhehong Wang; Ziyun Li; Li Xu; Qing Dong; Chin-I Su; Wen-Ting Chu; George Tsou; Yu-Der Chih; Tsung-Yung Jonathan Chang; Dennis Sylvester; Hun-Seok Kim; David T. Blaauw (IEEE Symposium on VLSI Circuits, VLSI Circuits 2020, Honolulu, HI, USA, June 16-19, 2020, 2020)

D3D: Distilled 3D Networks for Video Action Recognition - Jonathan C. Stroud; David A. Ross; Chen Sun; Jia Deng; Rahul Sukthankar (IEEE Winter Conference on Applications of Computer Vision, WACV 2020, Snowmass Village, CO, USA, March 1-5, 2020, 2020)

Clustering-Based Scenario-Aware LTE Grant Prediction - Peter Brand; Muhammad Sabih; Joachim Falk; Jonathan Ah Sue; Jürgen Teich (2020 IEEE Wireless Communications and Networking Conference, WCNC 2020, Seoul, Korea (South), May 25-28, 2020, 2020)

Atomic and Molecular Scattering Applications in an Apache Airavata Science Gateway - Barry I. Schneider; Klaus Bartschat; Oleg Zatsarinny; Kathryn R. Hamilton; Igor Bray; Armin Scrinzi; Fernando Martin; Jesus Gonzalez Vasquez; Jonathan Tennyson; Jimena D. Gorfinkiel; Robert R. Lucchese; Sudhakar Pamidighantam (PEARC '20: Practice and Experience in Advanced Research Computing, Portland, OR, USA, July 27-31, 2020, 2020)

Can Advanced Type Systems Be Usable? An Empirical Study of Ownership, Assets, and Typestate in Obsidian (Artifact) (Version 1) - Michael Coblenz; Jonathan Aldrich; Brad A. Myers; Joshua Sunshine (Zenodo, 2020)
Accessed on YYYY-MM-DD.

UIUC-PPL/charm: v6.10.0 (Version v6.10.0) - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2020)
Accessed on YYYY-MM-DD.

UIUC-PPL/charm: v6.10.1 (Version v6.10.1) - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2020)
Accessed on YYYY-MM-DD.

UIUC-PPL/charm: Charm++ version 6.10.2 (Version v6.10.2) - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2020)
Accessed on YYYY-MM-DD.

UIUC-PPL/charm: v6.11.0-beta1 (Version v6.11.0-beta1) - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2020)
Accessed on YYYY-MM-DD.

Rapid Top-Down Synthesis of Large-Scale IoT Networks - Pradipta Ghosh; Jonathan Bunton; Dimitrios Pylorof; Marcos Augusto M. Vieira; Kevin S. Chan; Ramesh Govindan; Gaurav S. Sukhatme; Paulo Tabuada; Gunjan Verma (CoRR, 2020)

SPORES: Sum-Product Optimization via Relational Equality Saturation for Large Scale Linear Algebra - Yisu Remy Wang; Shana Hutchison; Jonathan Leang; Bill Howe; Dan Suciu (CoRR, 2020)

Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph - Chuangchuang Sun; Macheng Shen; Jonathan P. How (CoRR, 2020)

Two Routes to Scalable Credit Assignment without Weight Symmetry - Daniel Kunin; Aran Nayebi; Javier Sagastuy-Breña; Surya Ganguli; Jonathan M. Bloom; Daniel L. K. Yamins (CoRR, 2020)

Touch the Wind: Simultaneous Airflow, Drag and Interaction Sensing on a Multirotor - Andrea Tagliabue; Aleix Paris; Suhan Kim; Regan Kubicek; Sarah Bergbreiter; Jonathan P. How (CoRR, 2020)

An Empirical Study of Ownership, Typestate, and Assets in the Obsidian Smart Contract Language - Michael J. Coblenz; Jonathan Aldrich; Joshua Sunshine; Brad A. Myers (CoRR, 2020)

Evaluating NLP Models via Contrast Sets - Matt Gardner; Yoav Artzi; Victoria Basmova; Jonathan Berant; Ben Bogin; Sihao Chen; Pradeep Dasigi; Dheeru Dua; Yanai Elazar; Ananth Gottumukkala; Nitish Gupta; Hanna Hajishirzi; et al. (CoRR, 2020)

PACT: Privacy Sensitive Protocols and Mechanisms for Mobile Contact Tracing - Justin Chan; Dean P. Foster; Shyam Gollakota; Eric Horvitz; Joseph Jaeger; Sham M. Kakade; Tadayoshi Kohno; John Langford; Jonathan Larson; Sudheesh Singanamalla; Jacob E. Sunshine; Stefano Tessaro (CoRR, 2020)

DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation - Mina Jafari; Dorothee Auer; Susan T. Francis; Jonathan M. Garibaldi; Xin Chen (CoRR, 2020)

FU-net: Multi-class Image Segmentation Using Feedback Weighted U-net - Mina Jafari; Ruizhe Li; Yue Xing; Dorothee Auer; Susan T. Francis; Jonathan M. Garibaldi; Xin Chen (CoRR, 2020)

Obtaining Faithful Interpretations from Compositional Neural Networks - Sanjay Subramanian; Ben Bogin; Nitish Gupta; Tomer Wolfson; Sameer Singh; Jonathan Berant; Matt Gardner (CoRR, 2020)

Low-Rank Nonlinear Decoding of \(μ\)-ECoG from the Primary Auditory Cortex - Melikasadat Emami; Mojtaba Sahraee-Ardakan; Parthe Pandit; Alyson K. Fletcher; Sundeep Rangan; Michael Trumpis; Brinnae Bent; Chia-Han Chiang; Jonathan Viventi (CoRR, 2020)

Emergence of Separable Manifolds in Deep Language Representations - Jonathan Mamou; Hang Le; Miguel Del Rio; Cory Stephenson; Hanlin Tang; Yoon Kim; SueYeon Chung (CoRR, 2020)

Set-Invariant Constrained Reinforcement Learning with a Meta-Optimizer - Chuangchuang Sun; Dong-Ki Kim; Jonathan P. How (CoRR, 2020)

Drive-Net: Convolutional Network for Driver Distraction Detection - Mohammed S. Majdi; Sundaresh Ram; Jonathan T. Gill; Jeffrey J. Rodríguez (CoRR, 2020)

Graph Neural Networks Including Sparse Interpretability - Chris Lin; Gerald J. Sun; Krishna C. Bulusu; Jonathan R. Dry; Marylens Hernandez (CoRR, 2020)

Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering - Ben Bogin; Sanjay Subramanian; Matt Gardner; Jonathan Berant (CoRR, 2020)

Single View Metrology in the Wild - Rui Zhu; Xingyi Yang; Yannick Hold-Geoffroy; Federico Perazzi; Jonathan Eisenmann; Kalyan Sunkavalli; Manmohan Chandraker (CoRR, 2020)

Learning Video Representations from Textual Web Supervision - Jonathan C. Stroud; David A. Ross; Chen Sun; Jia Deng; Rahul Sukthankar; Cordelia Schmid (CoRR, 2020)

Neural Light Transport for Relighting and View Synthesis - Xiuming Zhang; Sean Ryan Fanello; Yun-Ta Tsai; Tiancheng Sun; Tianfan Xue; Rohit Pandey; Sergio Orts-Escolano; Philip Davidson; Christoph Rhemann; Paul E. Debevec; Jonathan T. Barron; Ravi Ramamoorthi; et al. (CoRR, 2020)

A community-powered search of machine learning strategy space to find NMR property prediction models - Lars A. Bratholm; Will Gerrard; Brandon M. Anderson; Shaojie Bai; Sunghwan Choi; Lam Dang; Pavel Hanchar; Addison Howard; Guillaume Huard; Sanghoon Kim; J. Zico Kolter; Risi Kondor; et al. (CoRR, 2020)

Fast Bayesian Force Fields from Active Learning: Study of Inter-Dimensional Transformation of Stanene - Yu Xie; Jonathan Vandermause; Lixin Sun; Andrea Cepellotti; Boris Kozinsky (CoRR, 2020)

HACCLE: An Ecosystem for Building Secure Multi-Party Computations - Yuyan Bao; Kirshanthan Sundararajah; Raghav Malik; Qianchuan Ye; Christopher Wagner; Fei Wang; Mohammad Hassan Ameri; Donghang Lu; Alexander Seto; Benjamin Delaware; Roopsha Samanta; Aniket Kate; et al. (CoRR, 2020)

Making Sense of the Robotized Pandemic Response: A Comparison of Global and Canadian Robot Deployments and Success Factors - Tim D. Barfoot; Jessica Burgner-Kahrs; Eric D. Diller; Animesh Garg; Andrew A. Goldenberg; Jonathan Kelly; Xinyu Liu; Hani E. Naguib; Goldie Nejat; Angela P. Schoellig; Florian Shkurti; Hallie Siegel; et al. (CoRR, 2020)

S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency - Mel Vecerík; Jean-Baptiste Regli; Oleg Sushkov; David Barker; Rugile Pevceviciute; Thomas Rothörl; Christopher Schuster; Raia Hadsell; Lourdes Agapito; Jonathan Scholz (CoRR, 2020)

PyMT5: multi-mode translation of natural language and Python code with transformers - Colin B. Clement; Dawn Drain; Jonathan Timcheck; Alexey Svyatkovskiy; Neel Sundaresan (CoRR, 2020)

Light Stage Super-Resolution: Continuous High-Frequency Relighting - Tiancheng Sun; Zexiang Xu; Xiuming Zhang; Sean Ryan Fanello; Christoph Rhemann; Paul E. Debevec; Yun-Ta Tsai; Jonathan T. Barron; Ravi Ramamoorthi (CoRR, 2020)

Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming - Sumanth Dathathri; Krishnamurthy Dvijotham; Alexey Kurakin; Aditi Raghunathan; Jonathan Uesato; Rudy Bunel; Shreya Shankar; Jacob Steinhardt; Ian J. Goodfellow; Percy Liang; Pushmeet Kohli (CoRR, 2020)

Improving pronunciation assessment via ordinal regression with anchored reference samples - Bin Su; Shaoguang Mao; Frank K. Soong; Yan Xia; Jonathan Tien; Zhiyong Wu (CoRR, 2020)

A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning - Dong-Ki Kim; Miao Liu; Matthew Riemer; Chuangchuang Sun; Marwa Abdulhai; Golnaz Habibi; Sebastian Lopez-Cot; Gerald Tesauro; Jonathan P. How (CoRR, 2020)

Accessible Data Curation and Analytics for International-Scale Citizen Science Datasets - Benjamin Murray; Eric Kerfoot; Mark S. Graham; Carole H. Sudre; Erika Molteni; Liane S. Canas; Michela Antonelli; Alessia Visconti; Andrew T. Chan; Paul W. Franks; Richard Davies; Jonathan Wolf; et al. (CoRR, 2020)

EEGS: A Transparent Model of Emotions - Suman Ojha; Jonathan Vitale; Mary-Anne Williams (CoRR, 2020)

Underspecification Presents Challenges for Credibility in Modern Machine Learning - Alexander D'Amour; Katherine A. Heller; Dan Moldovan; Ben Adlam; Babak Alipanahi; Alex Beutel; Christina Chen; Jonathan Deaton; Jacob Eisenstein; Matthew D. Hoffman; Farhad Hormozdiari; Neil Houlsby; et al. (CoRR, 2020)

Joint Space Control via Deep Reinforcement Learning - Visak Kumar; David Hoeller; Balakumar Sundaralingam; Jonathan Tremblay; Stan Birchfield (CoRR, 2020)

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging - Abel Díaz Berenguer; Hichem Sahli; Boris Joukovsky; Maryna Kvasnytsia; Ine Dirks; Mitchel Alioscha-Pérez; Nikos Deligiannis; Panagiotis Gonidakis; Sebastián Amador Sánchez; Redona Brahimetaj; Evgenia Papavasileiou; Jonathan Cheung-Wai Chan; et al. (CoRR, 2020)

Multitask machine learning of collective variables for enhanced sampling of rare events - Lixin Sun; Jonathan Vandermause; Simon L. Batzner; Yu Xie; David Clark; Wei Chen; Boris Kozinsky (CoRR, 2020)

Image Steganography Based on Foreground Object Generation by Generative Adversarial Networks in Mobile Edge Computing With Internet of Things - Qi Cui; Zhili Zhou; Zhangjie Fu; Ruohan Meng; Xingming Sun; Q. M. Jonathan Wu (IEEE Access, 2019)

Electromagnetic Bandgap Backed Millimeter-Wave MIMO Antenna for Wearable Applications - Amjad Iqbal; Abdul Basir; Amor Smida; Nazih Khaddaj Mallat; Issa T. E. Elfergani; Jonathan Rodriguez; Sunghwan Kim (IEEE Access, 2019)

Neo-Bedside Monitoring Device for Integrated Neonatal Intensive Care Unit (iNICU) - Harpreet Singh; Ravneet Kaur; Abhilash Gangadharan; Ashish Kumar Pandey; Ashray Manur; Yao Sun; Satish Saluja; Shubham Gupta; Jonathan P. Palma; Praveen Kumar (IEEE Access, 2019)

Fingerprint Liveness Detection Using an Improved CNN With Image Scale Equalization - Chengsheng Yuan; Zhihua Xia; Leqi Jiang; Yi Cao; Q. M. Jonathan Wu; Xingming Sun (IEEE Access, 2019)

Antenna for Ultra-Wideband Applications With Non-Uniform Defected Ground Plane and Offset Aperture-Coupled Cylindrical Dielectric Resonators - Chemseddine Zebiri; Huthaifa A. Obeidat; Raed A. Abd-Alhameed; Djamel Sayad; Issa T. E. Elfergani; Jamal Sulieman Kosha; Widad Faraj A. Mshwat; Chan Hwang See; Mohamed Lashab; Jonathan Rodriguez; Khalil H. Sayidmarie (IEEE Access, 2019)

The H3ABioNet helpdesk: an online bioinformatics resource, enhancing Africa's capacity for genomics research - Judit Kumuthini; Lyndon Zass; Sumir Panji; Samson P. Salifu; Jonathan K. Kayondo; Victoria Nembaware; Mamana Mbiyavanga; Ajayi Olabode; Ali Kishk; Gordon Wells; Nicola J. Mulder (BMC Bioinform., 2019)

On the accuracy of optically tracked transducers for image-guided transcranial ultrasound - Vandiver Chaplin; M. A. Phipps; Sumeeth V. Jonathan; William A. Grissom; P. F. Yang; Li Min Chen; Charles F. Caskey (Int. J. Comput. Assist. Radiol. Surg., 2019)

IT-leveraged network value cocreation: a case study of the value cocreation process and value capture in the South Korean broadcast advertising industry - Jongwoo Kim; Sunyoung Cho; Balasubramaniam Ramesh (Eur. J. Inf. Syst., 2019)

RUBIC: An Untethered Soft Robot With Discrete Path Following - Hsing-Yu Chen; Richard Suphapol Diteesawat; Alice Haynes; Alixander James Partridge; Melanie Florine Simons; Enrico Werner; Martin Stephen Garrad; Jonathan Rossiter; Andrew T. Conn (Frontiers Robotics AI, 2019)

Which computer-use behaviours are most indicative of cognitive decline? Insights from an expert reference group - Samuel Couth; Gemma Stringer; Iracema Leroi; Alistair G. Sutcliffe; Ann Gledson; Davide Bruno; Kathryn R. McDonald; Daniela Montaldi; Ellen Poliakoff; Jonathan Rust; Jennifer C. Thompson; Laura J. E. Brown (Health Informatics J., 2019)

The use of natural language processing to identify Tdap-related local reactions at five health care systems in the Vaccine Safety Datalink - Chengyi Zheng; Wei Yu; Fagen Xie; Wansu Chen; Cheryl Mercado; Lina Sy; Lei Qian; Sungching Glenn; Gina Lee; Hung Fu Tseng; Jonathan Duffy; Lisa A. Jackson; et al. (Int. J. Medical Informatics, 2019)

Reliable Graphs for SLAM - Kasra Khosoussi; Matthew Giamou; Gaurav S. Sukhatme; Shoudong Huang; Gamini Dissanayake; Jonathan P. How (Int. J. Robotics Res., 2019)

Kinodynamic planning for spherical tensegrity locomotion with effective gait primitives - Zakary Littlefield; David Allen Surovik; Massimo Vespignani; Jonathan Bruce; Weifu Wang; Kostas E. Bekris (Int. J. Robotics Res., 2019)

Insole Optical Fiber Sensor Architecture for Remote Gait Analysis - An e-Health Solution - Maria de Fátima Domingues; Nélia Alberto; Cátia Sofia Jorge Leitão; Cátia Tavares; Eduardo Rocon de Lima; Ayman Radwan; Victor Sucasas; Jonathan Rodriguez; Paulo Sérgio de Brito André; Paulo Fernando da Costa Antunes (IEEE Internet Things J., 2019)

A new threshold changeable secret sharing scheme based on the Chinese Remainder Theorem - Xingxing Jia; Daoshun Wang; Daxin Nie; Xiangyang Luo; Jonathan Zheng Sun (Inf. Sci., 2019)

Enhancing mobile data services performance via online reviews - Hua (Jonathan) Ye; Cecil Eng Huang Chua; Jun Sun (Inf. Syst. Frontiers, 2019)

Beauty Is in the Eye of the Beholder: Toward a Contextual Understanding of Compensation of Information Technology Professionals Within and Across Geographies - Jonathan Whitaker; Sunil Mithas; CheWei Liu (Inf. Syst. Res., 2019)

Convolutional neural network scoring and minimization in the D3R 2017 community challenge - Jocelyn Sunseri; Jonathan E. King; Paul G. Francoeur; David Ryan Koes (J. Comput. Aided Mol. Des., 2019)

TacoxDNA: A user-friendly web server for simulations of complex DNA structures, from single strands to origami - Antonio Suma; Erik Poppleton; Michael Matthies; Petr Sulc; Flavio Romano; Ard A. Louis; Jonathan P. K. Doye; Cristian Micheletti; Lorenzo Rovigatti (J. Comput. Chem., 2019)

A word-building method based on neural network for text classification - Kai Shuang; Hao Guo; Zhixuan Zhang; Jonathan Loo; Sen Su (J. Exp. Theor. Artif. Intell., 2019)

Materials informatics - Seeram Ramakrishna; Tong-Yi Zhang; Wen-Cong Lu; Quan Qian; Jonathan Sze Choong Low; Jeremy Heiarii Ronald Yune; Daren Zong Loong Tan; Stéphane Bressan; Stefano Sanvito; Surya R. Kalidindi (J. Intell. Manuf., 2019)

A Reconfigurable 3-D-Stacked SPAD Imager With In-Pixel Histogramming for Flash LIDAR or High-Speed Time-of-Flight Imaging - Sam W. Hutchings; Nick Johnston; István Gyöngy; Tarek Al Abbas; Neale A. W. Dutton; Max Tyler; Susan Chan; Jonathan Leach; Robert K. Henderson (IEEE J. Solid State Circuits, 2019)

GENCODE reference annotation for the human and mouse genomes - Adam Frankish; Mark Diekhans; Anne-Maud Ferreira; Rory Johnson; Irwin Jungreis; Jane E. Loveland; Jonathan M. Mudge; Cristina Sisu; James C. Wright; Joel Armstrong; If Barnes; Andrew E. Berry; et al. (Nucleic Acids Res., 2019)

The mouse Gene Expression Database (GXD): 2019 update - Constance M. Smith; Terry F. Hayamizu; Jacqueline H. Finger; Susan M. Bello; Ingeborg J. McCright; Jingxia Xu; Richard M. Baldarelli; Jon S. Beal; Jeff Campbell; Lori E. Corbani; Pete J. Frost; Jill R. Lewis; et al. (Nucleic Acids Res., 2019)

The human body at cellular resolution: the NIH Human Biomolecular Atlas Program - Michael P. Snyder; Shin Lin; Amanda Posgai; Mark Atkinson; Aviv Regev; Jennifer Rood; Orit Rozenblatt-Rosen; Leslie Gaffney; Anna Hupalowska; Rahul Satija; Nils Gehlenborg; Jay Shendure; et al. (Nat., 2019)

Erratum to: NACO special issue editorial - Simon J. Hickinbotham; Susan Stepney; Jon Timmis (Nat. Comput., 2019)

Understanding node-link and matrix visualizations of networks: A large-scale online experiment - Donghao Ren; Laura R. Marusich; John O'Donovan; Jonathan Z. Bakdash; James Austin Schaffer; Daniel N. Cassenti; Sue E. Kase; Heather E. Roy; Wan-Yi Sabrina Lin; Tobias Höllerer (Netw. Sci., 2019)

Keeping track of 'alternative facts': The neural correlates of processing misinformation corrections - Andrew Gordon; Susanne Quadflieg; Jonathan C. W. Brooks; Ullrich K. H. Ecker; Stephan Lewandowsky (NeuroImage, 2019)

Quantifying normal human brain metabolism using hyperpolarized [1-\(^13\)C]pyruvate and magnetic resonance imaging - James T. Grist; Mary A. McLean; Frank Riemer; Rolf F. Schulte; Surrin S. Deen; Fulvio Zaccagna; Ramona Woitek; Charlie J. Daniels; Joshua D. Kaggie; Tomasz Matys; Ilse Patterson; Rhys Slough; et al. (NeuroImage, 2019)

Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program - Paisan Ruamviboonsuk; Jonathan Krause; Peranut Chotcomwongse; Rory Sayres; Rajiv Raman; Kasumi Widner; Bilson J. L. Campana; Sonia Phene; Kornwipa Hemarat; Mongkol Tadarati; Sukhum Silpa-Archa; Jirawut Limwattanayingyong; et al. (npj Digit. Medicine, 2019)

Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program - Paisan Ruamviboonsuk; Jonathan Krause; Peranut Chotcomwongse; Rory Sayres; Rajiv Raman; Kasumi Widner; Bilson J. L. Campana; Sonia Phene; Kornwipa Hemarat; Mongkol Tadarati; Sukhum Silpa-Archa; Jirawut Limwattanayingyong; et al. (npj Digit. Medicine, 2019)

Error Backprojection Algorithms for Non-Line-of-Sight Imaging - Marco La Manna; Fiona Kine; Eric Breitbach; Jonathan Jackson; Talha Sultan; Andreas Velten (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Ten Hot Topics around Scholarly Publishing - Jonathan P. Tennant; Harry Crane; Tom Crick; Jacinto A. Dávila; Asura Enkhbayar; Johanna Havemann; Bianca Kramer; Ryan Martin; Paola Masuzzo; Andy Nobes; Curt Rice; Bárbara Rivera-López; et al. (Publ., 2019)

Estimation and Mapping of Sub-National GDP in Uganda Using NPP-VIIRS Imagery - Xuantong Wang; Mickey Rafa; Jonathan D. Moyer; Jing Li; Jennifer Scheer; Paul C. Sutton (Remote. Sens., 2019)

Indoor Topological Localization Using a Visual Landmark Sequence - Jiasong Zhu; Qing Li; Rui Cao; Ke Sun; Tao Liu; Jonathan M. Garibaldi; Qingquan Li; Bozhi Liu; Guoping Qiu (Remote. Sens., 2019)

Bayesian Probabilistic Numerical Methods - Jon Cockayne; Chris J. Oates; Timothy John Sullivan; Mark A. Girolami (SIAM Rev., 2019)

Difference co-occurrence matrix using BP neural network for fingerprint liveness detection - Chengsheng Yuan; Xingming Sun; Q. M. Jonathan Wu (Soft Comput., 2019)

A Comparative Land-Cover Classification Feature Study of Learning Algorithms: DBM, PCA, and RF Using Multispectral LiDAR Data - Suoyan Pan; Haiyan Guan; Yongtao Yu; Jonathan Li; Daifeng Peng (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Fusion of Hyperspectral and Multispectral Images Based on a Bayesian Nonparametric Approach - Lichun Sui; Li Li; Jonathan Li; Nan Chen; Yongqing Jiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Stance empiricism and epistemic reason - Jonathan Reid Surovell (Synth., 2019)

Empirical significance, predictive power, and explication - Jonathan Reid Surovell (Synth., 2019)

Bayesian Inference-Based Estimation of Normal Aortic, Aneurysmal and Atherosclerotic Tissue Mechanical Properties: From Material Testing, Modeling and Histology - Shuo Wang; Aziz Tokgoz; Yuan Huang; Yongxue Zhang; Jiaxuan Feng; Priya Sastry; Chang Sun; Nichola Figg; Qingsheng Lu; Michael P. F. Sutcliffe; Zhongzhao Teng; Jonathan H. Gillard (IEEE Trans. Biomed. Eng., 2019)

Learning-Based Quality Control for Cardiac MR Images - Giacomo Tarroni; Ozan Oktay; Wenjia Bai; Andreas Schuh; Hideaki Suzuki; Jonathan Passerat-Palmbach; Antonio de Marvao; Declan P. O'Regan; Stuart A. Cook; Ben Glocker; Paul M. Matthews; Daniel Rueckert (IEEE Trans. Medical Imaging, 2019)

Single image portrait relighting - Tiancheng Sun; Jonathan T. Barron; Yun-Ta Tsai; Zexiang Xu; Xueming Yu; Graham Fyffe; Christoph Rhemann; Jay Busch; Paul E. Debevec; Ravi Ramamoorthi (ACM Trans. Graph., 2019)

Putting the Next 500 VM Placement Algorithms to the Acid Test: The Infrastructure Provider Viewpoint - Adrien Lebre; Jonathan Pastor; Anthony Simonet; Mario Südholt (IEEE Trans. Parallel Distributed Syst., 2019)

Battery Energy Storage State-of-Charge Forecasting: Models, Optimization, and Accuracy - David Rosewater; Summer Ferreira; David A. Schoenwald; Jonathan Hawkins; Surya Santoso (IEEE Trans. Smart Grid, 2019)

Details-First, Show Context, Overview Last: Supporting Exploration of Viscous Fingers in Large-Scale Ensemble Simulations - Timothy Luciani; Andrew Burks; Cassiano Sugiyama; Jonathan Komperda; G. Elisabeta Marai (IEEE Trans. Vis. Comput. Graph., 2019)

Model AI Assignments 2019 - Todd W. Neller; Raja Sooriamurthi; Michael Guerzhoy; Lisa Zhang; Paul Talaga; Christopher Archibald; Adam Summerville; Joseph C. Osborn; Cinjon Resnick; Avital Oliver; Surya Bhupatiraju; Kumar Krishna Agrawal; et al. (The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019, 2019)

Smiles Signal Surprise in a Social Dilemma - Su Lei; Jonathan Gratch (8th International Conference on Affective Computing and Intelligent Interaction, ACII 2019, Cambridge, United Kingdom, September 3-6, 2019, 2019)

SParC: Cross-Domain Semantic Parsing in Context - Tao Yu; Rui Zhang; Michihiro Yasunaga; Yi Chern Tan; Xi Victoria Lin; Suyi Li; Heyang Er; Irene Li; Bo Pang; Tao Chen; Emily Ji; Shreya Dixit; et al. (Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, Florence, Italy, July 28- August 2, 2019, Volume 1: Long Papers, 2019)

Mixed Reality for Learning Programming - Joonyoung Kim; Kristina Marotta; Jonathan Leo; Sudeep Agarwal; Siwei Li; Duen Horng Chau (Proceedings of the 18th ACM International Conference on Interaction Design and Children, IDC 2019, Boise, ID, USA, June 12-15, 2019, 2019)

A Risk-Sensitive Finite-Time Reachability Approach for Safety of Stochastic Dynamic Systems - Margaret P. Chapman; Jonathan Lacotte; Aviv Tamar; Donggun Lee; Kevin M. Smith; Victoria Cheng; Jaime F. Fisac; Susmit Jha; Marco Pavone; Claire J. Tomlin (2019 American Control Conference, ACC 2019, Philadelphia, PA, USA, July 10-12, 2019, 2019)

Adaptive Simultaneous Topography and Broadband Nanomechanical Mapping of Heterogeneous Materials on Atomic Force Microscope - Tianwei Li; Qingze Zou; Jonathan Singer; Chanmin Su (2019 American Control Conference, ACC 2019, Philadelphia, PA, USA, July 10-12, 2019, 2019)

Using the RE-AIM Framework to Assess the Potential to Use Mobile Diabetes Detective (MoDD) in Federally Qualified Health Centers - Elizabeth M. Heitkemper; Arlene M. Smaldone; Suzanne R. Bakken; Andrea Cassells; Jonathan N. Tobin; Lena Mamykina (AMIA 2019, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 16-20, 2019, 2019)

Integrating Personality and Mood with Agent Emotions - Suman Ojha; Jonathan Vitale; Syed Ali Raza; Richard Billingsley; Mary-Anne Williams (Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS '19, Montreal, QC, Canada, May 13-17, 2019, 2019)

Thermal Vision Based Fall Detection via Logical and Data driven Processes - Joseph Rafferty; Javier Medina Quero; Susan Quinn; Catherine Saunders; Idongesit Ekerete; Chris D. Nugent; Jonathan Synnott; Matias Garcia-Constantino (2019 IEEE International Conference on Big Data, Cloud Computing, Data Science & Engineering, BCD 2019, Honolulu, HI, USA, May 29-31, 2019, 2019)

Bio-molecular Circuit Design with Electronic Circuit Software and Cytomorphic Chips - Jonathan J. Y. Teo; Jaewook Kim; Sung Sik Woo; Rahul Sarpeshkar (2019 IEEE Biomedical Circuits and Systems Conference, BioCAS 2019, Nara, Japan, October 17-19, 2019, 2019)

Novel Efficient Coding Scheme for Data-Rate Limited Journey-Aware Graph-Data Transmission - Elaine Y.-N. Sun; Hsiao-Chun Wu; Scott C.-H. Huang; Yiyan Wu; Yen-Cheng Kuan; Jonathan Wu (2019 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2019, Jeju, Korea (South), June 5-7, 2019, 2019)

TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation - Miguel Monteiro; Konstantinos Kamnitsas; Enzo Ferrante; Francois Mathieu; Steven McDonagh; Sam Cook; Susan Stevenson; Tilak Das; Aneesh Khetani; Tom Newman; Fred Zeiler; Richard Digby; et al. (Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 5th International Workshop, BrainLes 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Revised Selected Papers, Part I, 2019)

Analysis of the Effects of Communication Trust and Delay on Consensus of Multi-Agent Systems - Jonathan Sumpter; Christopher Thomas; Sun Yi; Alan Kruger (IEEE 2nd Connected and Automated Vehicles Symposium, CAVS 2019, Honolulu, HI, USA, September 22-23, 2019, 2019)

VARI-SOUND: A Varifocal Lens for Sound - Gianluca Memoli; Letizia Chisari; Jonathan P. Eccles; Mihai Caleap; Bruce W. Drinkwater; Sriram Subramanian (Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019, Glasgow, Scotland, UK, May 04-09, 2019, 2019)

Analog/Mixed-Signal Design Challenges in 7-nm CMOS and Beyond - Alvin Leng Sun Loke; Da Yang; Tin Tin Wee; Jonathan L. Holland; Patrick Isakanian; Kern Rim; Sam Yang; Jacob S. Schneider; Giri Nallapati; Sreeker Dundigal; Hasnain Lakdawala; Behnam Amelifard; et al. (IEEE Custom Integrated Circuits Conference, CICC 2019, Austin, TX, USA, April 14-17, 2019, 2019)

Accelerating Action Potential Generation Using GPU Implementation of a Resonant Model of a Cell - Sucheta Sehgal; Saif Charania; Jonathan Reshef; Nitish D. Patel; Mark L. Trew (46th Computing in Cardiology, CinC 2019, Singapore, September 8-11, 2019, 2019)

Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference - Mahesh Subedar; Ranganath Krishnan; Paulo Lopez-Meyer; Omesh Tickoo; Jonathan Huang (IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2019, Long Beach, CA, USA, June 16-20, 2019, 2019)

All-Weather Deep Outdoor Lighting Estimation - Jinsong Zhang; Kalyan Sunkavalli; Yannick Hold-Geoffroy; Sunil Hadap; Jonathan Eisenmann; Jean-François Lalonde (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019, 2019)

Ethereum Blockchain for Securing the Internet of Things: Practical Implementation and Performance Evaluation - Subhi Alrubei; Jonathan Michael Rigelsford; Callum Willis; Edward Ball (2019 International Conference on Cyber Security and Protection of Digital Services, Cyber Security 2018, Oxford, United Kingdom, June 3-4, 2019, 2019)

High Power Indium Phosphide Photonic Integrated Circuit Platform - Hongwei Zhao; Sergio Pinna; Fengqiao Sang; Simone Tommaso Suran Brunelli; Larry A. Coldren; Jonathan Klamkin (Device Research Conference, DRC 2019, Ann Arbor, MI, USA, June 23-26, 2019, 2019)

DriveSpace: Towards context-aware drivable area detection - Ciarán Hughes; Sunil Chandra; Ganesh Sistu; Jonathan Horgan; Brian M. Deegan; Sumanth Chennupati; Senthil Kumar Yogamani (Autonomous Vehicles and Machines 2019, Burlingame, CA, USA, January 13-17, 2019, 2019)

University of Edinburgh's submission to the Document-level Generation and Translation Shared Task - Ratish Puduppully; Jonathan Mallinson; Mirella Lapata (Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, Hong Kong, November 4, 2019, 2019)

Cross-lingual Structure Transfer for Relation and Event Extraction - Ananya Subburathinam; Di Lu; Heng Ji; Jonathan May; Shih-Fu Chang; Avirup Sil; Clare R. Voss (Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019, 2019)

Compressed Sensing MRI Reconstruction on Intel HARPv2 - Yushan Su; Michael Anderson; Jonathan I. Tamir; Michael Lustig; Kai Li (27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019, San Diego, CA, USA, April 28 - May 1, 2019, 2019)

Hierarchical Classification With Bayesian Networks and Chained Classifiers - Jonathan Serrano-Pérez; Luis Enrique Sucar (Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, Sarasota, Florida, USA, May 19-22 2019, 2019)

Optimizing Exploratory Workflows for Embedded Platform Trace Analysis and Its Application to Mobile Devices - Jonathan Ah Sue; Peter Brand; Joachim Falk; Ralph Hasholzner; Jürgen Teich (HCI International 2019 - Late Breaking Papers - 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26-31, 2019, Proceedings, 2019)

Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference - Mahesh Subedar; Ranganath Krishnan; Paulo Lopez-Meyer; Omesh Tickoo; Jonathan Huang (2019 IEEE/CVF International Conference on Computer Vision, ICCV 2019, Seoul, Korea (South), October 27 - November 2, 2019, 2019)

WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving - Senthil Kumar Yogamani; Christian Witt; Hazem Rashed; Sanjaya Nayak; Saquib Mansoor; Padraig Varley; Xavier Perrotton; Derek O'Dea; Patrick Pérez; Ciarán Hughes; Jonathan Horgan; Ganesh Sistu; et al. (2019 IEEE/CVF International Conference on Computer Vision, ICCV 2019, Seoul, Korea (South), October 27 - November 2, 2019, 2019)

FU-Net: Multi-class Image Segmentation Using Feedback Weighted U-Net - Mina Jafari; Ruizhe Li; Yue Xing; Dorothee Auer; Susan T. Francis; Jonathan M. Garibaldi; Xin Chen (Image and Graphics - 10th International Conference, ICIG 2019, Beijing, China, August 23-25, 2019, Proceedings, Part II, 2019)

State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations - Alex Lamb; Jonathan Binas; Anirudh Goyal; Sandeep Subramanian; Ioannis Mitliagkas; Yoshua Bengio; Michael Mozer (Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA, 2019)

Learning with Incomplete Labels for Multi-label Image Annotation Using CNN and Restricted Boltzmann Machines - Jonathan Mojoo; Yu Zhao; Muthu Subash Kavitha; Jun'ichi Miyao; Takio Kurita (Neural Information Processing - 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12-15, 2019, Proceedings, Part II, 2019)

A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning - Mel Vecerík; Oleg Sushkov; David Barker; Thomas Rothörl; Todd Hester; Jonathan Scholz (International Conference on Robotics and Automation, ICRA 2019, Montreal, QC, Canada, May 20-24, 2019, 2019)

Smarter smart contract development tools - Michael J. Coblenz; Joshua Sunshine; Jonathan Aldrich; Brad A. Myers (Proceedings of the 2nd International Workshop on Emerging Trends in Software Engineering for Blockchain, WETSEB@ICSE 2019, Montreal, QC, Canada, May 27, 2019, 2019)

Partial 3D Object Retrieval and Completeness Evaluation for Urban Street Scene - Yan Guo; Chenglu Wen; Xiaotian Sun; Cheng Wang; Jonathan Li (2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, July 28 - August 2, 2019, 2019)

Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization under Uncertainty - Jonathan Chase; Duc Thien Nguyen; Haiyang Sun; Hoong Chuin Lau (Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019, 2019)

Digital Twin for Tuning of Server Fan Controllers - Rickard Brännvall; Jeffrey Sarkinen; Joar Svartholm; Jonas Gustafsson; Jon Summers (17th IEEE International Conference on Industrial Informatics, INDIN 2019, Helsinki, Finland, July 22-25, 2019, 2019)

Integrated thermal management of a 150kW pilot Open Compute Project style data center - Sebastian Fredriksson; Jonas Gustafsson; Daniel Olsson; Jeffrey Sarkinen; Alan Beresford; Matthew Käufeler; Tor Björn Minde; Jon Summers (17th IEEE International Conference on Industrial Informatics, INDIN 2019, Helsinki, Finland, July 22-25, 2019, 2019)

The Space Complexity of Mirror Games - Sumegha Garg; Jon Schneider (10th Innovations in Theoretical Computer Science Conference, ITCS 2019, January 10-12, 2019, San Diego, California, USA, 2019)

Renovating Database Queries with Query AutoAwesome - Chetna Suryavanshi; Curtis E. Dyreson; Jonathan Adams (20th IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2019, Los Angeles, CA, USA, July 30 - August 1, 2019, 2019)

Segmenting The Kidney On CT Scans Via Crowdsourcing - Paras Mehta; Veit Sandfort; Daan Gheysens; Gert-Jan Braeckevelt; Jonathan Berte; Ronald M. Summers (16th IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venice, Italy, April 8-11, 2019, 2019)

Towards Smart Mobility During Flooding Events in Urban Areas using Crowdsourced Information - Ubaldo Castro; Jonathan Avila; Cynthia V. Sustaita; M. Armando Hernandez; Victor M. Larios-Rosillo; Natalia Villanueva-Rosales; Oscar Mondragon; Ruey Long Cheu; Ma. Roció Maciel Arellano (2019 IEEE International Smart Cities Conference, ISC2 2019, Casablanca, Morocco, October 14-17, 2019, 2019)

Computational Glasses: Vision Augmentations Using Computational Near-Eye Optics and Displays - Jonathan Sutton; Tobias Langlotz; Yuta Itoh (IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2019 Adjunct, Beijing, China, October 10-18, 2019, 2019)

Analyzing Machine Learning Workloads Using a Detailed GPU Simulator - Jonathan S. Lew; Deval A. Shah; Suchita Pati; Shaylin Cattell; Mengchi Zhang; Amruth Sandhupatla; Christopher Ng; Negar Goli; Matthew D. Sinclair; Timothy G. Rogers; Tor M. Aamodt (IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2019, Madison, WI, USA, March 24-26, 2019, 2019)

A 256 exttimes256 40nm/90nm CMOS 3D-Stacked 120dB Dynamic-Range Reconfigurable Time-Resolved SPAD Imager - Robert K. Henderson; Nick Johnston; Sam W. Hutchings; István Gyöngy; Tarek Al Abbas; Neale A. W. Dutton; Max Tyler; Susan Chan; Jonathan Leach (IEEE International Solid- State Circuits Conference, ISSCC 2019, San Francisco, CA, USA, February 17-21, 2019, 2019)

An LTE-A Multimode Multiband RF Transceiver with 4RX/2TX Inter-Band Carrier Aggregation, 2-Carrier 4 exttimes4 MIMO with 256QAM and HPUE Capability in 28nm CMOS - Chih-Chun Tang; Yi-Bin Lee; Chih-hao Eric Sun; Cheng-Chieh Lin; Jin-Siang Syu; Min-Hua Wu; YangChuan Chen; Tzu-Chan Chueh; Carl Bryant; Manel Collados; Mohammed Hassan; Joao Ramos; et al. (IEEE International Solid- State Circuits Conference, ISSCC 2019, San Francisco, CA, USA, February 17-21, 2019, 2019)

Predicting Student Success in Communication Skills Learning Scenarios with Virtual Humans - Stephanie Carnell; Benjamin Lok; Melva T. James; Jonathan K. Su (Proceedings of the 9th International Conference on Learning Analytics & Knowledge, LAK 2019, Tempe, AZ, USA, March 4-8, 2019, 2019)

This Looks Like That: Deep Learning for Interpretable Image Recognition - Chaofan Chen; Oscar Li; Daniel Tao; Alina Barnett; Cynthia Rudin; Jonathan Su (Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada, 2019)

100Gbps CWDM4 Silicon Photonics Transmitter for 5G Applications - Haijiang Yu; Jonathan K. Doylend; Wenhua Lin; Kimchau Nguyen; Wei Liu; David Gold; Avsar Dahal; Catherine Jan; Robert Herrick; George A. Ghiurcan; Summer R. Hollingsworth; Randolph T. Romero; et al. (Optical Fiber Communications Conference and Exhibition, OFC 2019, San Diego, CA, USA, March 3-7, 2019, 2019)

TonY: An Orchestrator for Distributed Machine Learning Jobs - Anthony Hsu; Keqiu Hu; Jonathan Hung; Arun Suresh; Zhe Zhang (2019 USENIX Conference on Operational Machine Learning, OpML 2019, Santa Clara, CA, USA, May 20, 2019, 2019)

UTS Unleashed! RoboCup@Home SSPL Champions 2019 - Sammy Pfeiffer; Daniel Ebrahimian; Sarita Herse; Tran Nhut Le; Suwen Leong; Bethany Lu; Katie Powell; Syed Ali Raza; Tian Sang; Ishan Sawant; Meg Tonkin; Christine Vinaviles; et al. (RoboCup 2019: Robot World Cup XXIII [Sydney, NSW, Australia, July 8, 2019], 2019)

A Reconfigurable Crawling Robot Driven by Electroactive Artificial Muscle - Chongjing Cao; Richard Suphapol Diteesawat; Jonathan Rossiter; Andrew T. Conn (IEEE International Conference on Soft Robotics, RoboSoft 2019, Seoul, South Korea, April 14-18, 2019, 2019)

Knowledge Representation and Rule Mining in Entity-Centric Knowledge Bases - Fabian M. Suchanek; Jonathan Lajus; Armand Boschin; Gerhard Weikum (Reasoning Web. Explainable Artificial Intelligence - 15th International Summer School 2019, Bolzano, Italy, September 20-24, 2019, Tutorial Lectures, 2019)

Preparation and optimization of a diverse workload for a large-scale heterogeneous system - Ian Karlin; Yoonho Park; Bronis R. de Supinski; Peng Wang; Bert Still; David Beckingsale; Robert Blake; Tong Chen; Guojing Cong; Carlos H. A. Costa; Johann Dahm; Giacomo Domeniconi; et al. (Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2019, Denver, Colorado, USA, November 17-19, 2019, 2019)

ISSv2 and OpenISS distributed system for real-time interaction for performing arts - Serguei A. Mokhov; Deschanel Li; Haotao Lai; Jashanjot Singh; Yiran Shen; Jonathan Llewellyn; Miao Song; Sudhir P. Mudur (Special Interest Group on Computer Graphics and Interactive Techniques Conference, SIGGRAPH 2019, Los Angeles, CA, USA, July 28 - August 1, 2019, Posters, 2019)

Fidelius: Protecting User Secrets from Compromised Browsers - Saba Eskandarian; Jonathan Cogan; Sawyer Birnbaum; Peh Chang Wei Brandon; Dillon Franke; Forest Fraser; Gaspar Garcia Jr.; Eric Gong; Hung T. Nguyen; Taresh K. Sethi; Vishal Subbiah; Michael Backes; et al. (2019 IEEE Symposium on Security and Privacy, SP 2019, San Francisco, CA, USA, May 19-23, 2019, 2019)

Semantic Path Planning for Indoor Navigation and Household Tasks - Nico Sun; Erfu Yang; Jonathan R. Corney; Yi Chen (Towards Autonomous Robotic Systems - 20th Annual Conference, TAROS 2019, London, UK, July 3-5, 2019, Proceedings, Part II, 2019)

A Pilot Study of the Safety and Usability of the Obsidian Blockchain Programming Language - Gauri Kambhatla; Michael J. Coblenz; Reed Oei; Joshua Sunshine; Jonathan Aldrich; Brad A. Myers (10th Workshop on Evaluation and Usability of Programming Languages and Tools, PLATEAU@UIST 2019, October 24, 2019, New Orleans, Louisiana, USA, 2019)

A 7.3 M Output Non-Zeros/J Sparse Matrix-Matrix Multiplication Accelerator using Memory Reconfiguration in 40 nm - Subhankar Pal; Dong-Hyeon Park; Siying Feng; Paul Gao; Jielun Tan; Austin Rovinski; Shaolin Xie; Chun Zhao; Aporva Amarnath; Timothy Wesley; Jonathan Beaumont; Kuan-Yu Chen; et al. (2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019)

A Supernatural VR Environment for Spatial User Rotation - Jonathan Becker; Uli Meyer; Tobias Eichler; Susanne Draheim (IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019, Osaka, Japan, March 23-27, 2019, 2019)

The role of assessment and reward in non-formal computing settings (Work in progress) - Oliver Quinlan; Sue Sentance; Jonathan Dickins; Rik Cross (Proceedings of the 14th Workshop in Primary and Secondary Computing Education, WiPSCE 2019, Glasgow, Scotland, UK, October 23-25, 2019, 2019)

Proceedings of the Tenth ACM SIGPLAN Symposium on Scala, Scala@ECOOP 2019, London, UK, July 17, 2019 - Jonathan Immanuel Brachthäuser; Sukyoung Ryu; Nathaniel Nystrom (ACM, 2019)

nbgrader v0.5.5 (Version 0.5.5) - Project Jupyter; Douglas Blank; David Bourgin; Alexander Brown; Matthias Bussonnier; Jonathan Frederic; Brian E. Granger; Thomas L. Griffiths; Jessica B. Hamrick; Kyle Kelley; Michael Pacer; Logan Page; et al. (Zenodo, 2019)
Accessed on YYYY-MM-DD.

UIUC-PPL/charm: v6.10.0-beta1 (Version v6.10.0-beta1) - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2019)
Accessed on YYYY-MM-DD.

UIUC-PPL/charm: v6.10.0-rc (Version v6.10.0-rc) - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2019)
Accessed on YYYY-MM-DD.

UIUC-PPL/charm: v6.10.0-rc2 (Version v6.10.0-rc2) - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2019)
Accessed on YYYY-MM-DD.

Relative Geometry-Aware Siamese Neural Network for 6DOF Camera Relocalization - Qing Li; Jiasong Zhu; Rui Cao; Ke Sun; Jonathan M. Garibaldi; Qingquan Li; Bozhi Liu; Guoping Qiu (CoRR, 2019)

No DNN Left Behind: Improving Inference in the Cloud with Multi-Tenancy - Amit Samanta; Suhas Shrinivasan; Antoine Kaufmann; Jonathan Mace (CoRR, 2019)

Low Barrier Magnet Design for Efficient Binary Stochastic Neurons: Perpendicular vs In-plane - Orchi Hassan; Rafatul Faria; Kerem Yunus Camsari; Jonathan Z. Sun; Supriyo Datta (CoRR, 2019)

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling - Jonathan Shen; Patrick Nguyen; Yonghui Wu; Zhifeng Chen; Mia Xu Chen; Ye Jia; Anjuli Kannan; Tara N. Sainath; Yuan Cao; Chung-Cheng Chiu; Yanzhang He; Jan Chorowski; et al. (CoRR, 2019)

A Risk-Sensitive Finite-Time Reachability Approach for Safety of Stochastic Dynamic Systems - Margaret P. Chapman; Jonathan Lacotte; Aviv Tamar; Donggun Lee; Kevin M. Smith; Victoria Cheng; Jaime F. Fisac; Susmit Jha; Marco Pavone; Claire J. Tomlin (CoRR, 2019)

Blockchain And The Future of the Internet: A Comprehensive Review - Fakhar ul Hassan; Anwaar Ali; Siddique Latif; Junaid Qadir; Salil S. Kanhere; Jatinder Singh; Jon Crowcroft (CoRR, 2019)

TonY: An Orchestrator for Distributed Machine Learning Jobs - Anthony Hsu; Keqiu Hu; Jonathan Hung; Arun Suresh; Zhe Zhang (CoRR, 2019)

Single Image Portrait Relighting - Tiancheng Sun; Jonathan T. Barron; Yun-Ta Tsai; Zexiang Xu; Xueming Yu; Graham Fyffe; Christoph Rhemann; Jay Busch; Paul E. Debevec; Ravi Ramamoorthi (CoRR, 2019)

WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving - Senthil Kumar Yogamani; Ciarán Hughes; Jonathan Horgan; Ganesh Sistu; Padraig Varley; Derek O'Dea; Michal Uricár; Stefan Milz; Martin Simon; Karl Amende; Christian Witt; Hazem Rashed; et al. (CoRR, 2019)

AI Enabling Technologies: A Survey - Vijay Gadepally; Justin Goodwin; Jeremy Kepner; Albert Reuther; Hayley Reynolds; Siddharth Samsi; Jonathan Su; David Martinez (CoRR, 2019)

Explainable AI for Trees: From Local Explanations to Global Understanding - Scott M. Lundberg; Gabriel G. Erion; Hugh Chen; Alex J. DeGrave; Jordan M. Prutkin; Bala Nair; Ronit Katz; Jonathan Himmelfarb; Nisha Bansal; Su-In Lee (CoRR, 2019)

State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations - Alex Lamb; Jonathan Binas; Anirudh Goyal; Sandeep Subramanian; Ioannis Mitliagkas; Denis Kazakov; Yoshua Bengio; Michael C. Mozer (CoRR, 2019)

SParC: Cross-Domain Semantic Parsing in Context - Tao Yu; Rui Zhang; Michihiro Yasunaga; Yi Chern Tan; Xi Victoria Lin; Suyi Li; Heyang Er; Irene Li; Bo Pang; Tao Chen; Emily Ji; Shreya Dixit; et al. (CoRR, 2019)

All-Weather Deep Outdoor Lighting Estimation - Jinsong Zhang; Kalyan Sunkavalli; Yannick Hold-Geoffroy; Sunil Hadap; Jonathan Eisenmann; Jean-François Lalonde (CoRR, 2019)

Content-Based User Association and MIMO Operation over Cached Cloud-RAN Networks - Susanna Mosleh; Lingjia Liu; Jonathan D. Ashdown; Erik Perrins; Kurt A. Turck (CoRR, 2019)

Technical Health Check For Cloud Service Providers - Muhammed Fatih Bulut; Hongtan Sun; Pritpal Arora; Maja Vukovic; Klaus Koenig; Jonathan Young (CoRR, 2019)

Adaptive Predictive Power Management for Mobile LTE Devices - Peter Brand; Joachim Falk; Jonathan Ah Sue; Johannes Brendel; Ralph Hasholzner; Jürgen Teich (CoRR, 2019)

Sufficient Representations for Categorical Variables - Jonathan Johannemann; Vitor Hadad; Susan Athey; Stefan Wager (CoRR, 2019)

On Extractive and Abstractive Neural Document Summarization with Transformer Language Models - Sandeep Subramanian; Raymond Li; Jonathan Pilault; Christopher J. Pal (CoRR, 2019)

Obsidian: Typestate and Assets for Safer Blockchain Programming - Michael J. Coblenz; Reed Oei; Tyler Etzel; Paulette Koronkevich; Miles Baker; Yannick Bloem; Brad A. Myers; Joshua Sunshine; Jonathan Aldrich (CoRR, 2019)

Dynamic Characterization of Arrows through Stochastic Perturbation - Ryan Fish; Youzhi Liang; Kyle Saleeby; Jonathan Spirnak; Mingxiu Sun; Xiang Zhang (CoRR, 2019)

A Framework for Data-Driven Robotics - Serkan Cabi; Sergio Gómez Colmenarejo; Alexander Novikov; Ksenia Konyushkova; Scott E. Reed; Rae Jeong; Konrad Zolna; Yusuf Aytar; David Budden; Mel Vecerík; Oleg Sushkov; David Barker; et al. (CoRR, 2019)

DiffTaichi: Differentiable Programming for Physical Simulation - Yuanming Hu; Luke Anderson; Tzu-Mao Li; Qi Sun; Nathan Carr; Jonathan Ragan-Kelley; Frédo Durand (CoRR, 2019)

The Eighth Dialog System Technology Challenge - Seokhwan Kim; Michel Galley; R. Chulaka Gunasekara; Sungjin Lee; Adam Atkinson; Baolin Peng; Hannes Schulz; Jianfeng Gao; Jinchao Li; Mahmoud Adada; Minlie Huang; Luis A. Lastras; et al. (CoRR, 2019)

Energy Usage Reports: Environmental awareness as part of algorithmic accountability - Kadan Lottick; Silvia Susai; Sorelle A. Friedler; Jonathan P. Wilson (CoRR, 2019)

User-Centered Programming Language Design in the Obsidian Smart Contract Language - Michael J. Coblenz; Gauri Kambhatla; Paulette Koronkevich; Jenna L. Wise; Celeste Barnaby; Jonathan Aldrich; Joshua Sunshine; Brad A. Myers (CoRR, 2019)

Dota 2 with Large Scale Deep Reinforcement Learning - Christopher Berner; Greg Brockman; Brooke Chan; Vicki Cheung; Przemyslaw Debiak; Christy Dennison; David Farhi; Quirin Fischer; Shariq Hashme; Christopher Hesse; Rafal Józefowicz; Scott Gray; et al. (CoRR, 2019)

Neural Network Surgery with Sets - Jonathan Raiman; Susan Zhang; Christy Dennison (CoRR, 2019)

Long-Term Planning and Situational Awareness in OpenAI Five - Jonathan Raiman; Susan Zhang; Filip Wolski (CoRR, 2019)

FisheyeMultiNet: Real-time Multi-task Learning Architecture for Surround-view Automated Parking System - Pullarao Maddu; Wayne Doherty; Ganesh Sistu; Isabelle Leang; Michal Uricár; Sumanth Chennupati; Hazem Rashed; Jonathan Horgan; Ciarán Hughes; Senthil Kumar Yogamani (CoRR, 2019)

Advancing the international data science workforce through shared training and education - John D. Van Horn; Sumiko Abe; José Luis Ambite; Teresa K. Attwood; Niall Beard; Louisa Bellis; Avnish Bhattrai; Alex A. T. Bui; Gully Burns; Lily Fierro; Jonathan Gordon; Jeffrey S. Grethe; et al. (F1000Research, 2019)

Coupling dynamics of epidemic spreading and information diffusion on complex networks - Xiu-Xiu Zhan; Chuang Liu; Ge Zhou; Zi-Ke Zhang; Gui-Quan Sun; Jonathan J. H. Zhu; Zhen Jin (Appl. Math. Comput., 2018)

Predicting tumor cell line response to drug pairs with deep learning - Fangfang Xia; Maulik Shukla; Thomas S. Brettin; Cristina Garcia-Cardona; Judith D. Cohn; Jonathan E. Allen; Sergei Maslov; Susan L. Holbeck; James H. Doroshow; Yvonne A. Evrard; Eric A. Stahlberg; Rick L. Stevens (BMC Bioinform., 2018)

A computational framework for complex disease stratification from multiple large-scale datasets - Bertrand De Meulder; Diane Lefaudeux; Aruna T. Bansal; Alexander Mazein; Amphun Chaiboonchoe; Hassan Ahmed; Irina Balaur; Mansoor A. S. Saqi; Johann Pellet; Stéphane Ballereau; Nathanaël Lemonnier; Kai Sun; et al. (BMC Syst. Biol., 2018)

Singularities in structured meshes and cross-fields - Harold J. Fogg; Liang Sun; Jonathan E. Makem; Cecil G. Armstrong; Trevor T. Robinson (Comput. Aided Des., 2018)

A privacy-enhanced OAuth 2.0 based protocol for Smart City mobile applications - Victor Sucasas; Georgios Mantas; Saud Althunibat; Leonardo Oliveira; Angelos Antonopoulos; Ifiok E. Otung; Jonathan Rodriguez (Comput. Secur., 2018)

A parallel self-organizing overlapping community detection algorithm based on swarm intelligence for large scale complex networks - Hanlin Sun; Wei Jie; Jonathan Loo; Lizhe Wang; Sugang Ma; Gang Han; Zhongmin Wang; Wei Xing (Future Gener. Comput. Syst., 2018)

An Overview on Principles for Energy Efficient Robot Locomotion - Navvab Kashiri; Andy Abate; Sabrina J. Abram; Alin Albu-Schäffer; Patrick Clary; Monica A. Daley; Salman Faraji; Raphael Furnemont; Manolo Garabini; Hartmut Geyer; Alena M. Grabowski; Jonathan W. Hurst; et al. (Frontiers Robotics AI, 2018)

Conventional contracts, intentional behavior and logit choice: Equality without symmetry - Sung-Ha Hwang; Wooyoung Lim; Philip R. Neary; Jonathan Newton (Games Econ. Behav., 2018)

New database compression assists in the IBM z14 processor - Christian G. Zoellin; Oliver Draese; Jonathan D. Bradbury; Christian Jacobi; Aditya Puranik; Peter Sutton; Robert Tokumaru (IBM J. Res. Dev., 2018)

Physical-layer entity authentication scheme for mobile MIMO systems - Saud Althunibat; Victor Sucasas; Georgios Mantas; Jonathan Rodriguez (IET Commun., 2018)

Risk-sensitive inverse reinforcement learning via semi- and non-parametric methods - Sumeet Singh; Jonathan Lacotte; Anirudha Majumdar; Marco Pavone (Int. J. Robotics Res., 2018)

Artificial Intelligence and IT Professionals - Sunil Mithas; Thomas Kude; Jonathan Whitaker (IT Prof., 2018)

On the Behavior of Convolutional Nets for Feature Extraction - Dario Garcia-Gasulla; Ferran Parés; Armand Vilalta; Jonathan Moreno; Eduard Ayguadé; Jesús Labarta; Ulises Cortés; Toyotaro Suzumura (J. Artif. Intell. Res., 2018)

Supersaturation in posets and applications involving the container method - Jonathan A. Noel; Alex Scott; Benny Sudakov (J. Comb. Theory A, 2018)

Does public consultation encourage social participation? - Flavio Saab; Paulo Henrique de Souza Bermejo; Gustavo Cunha Garcia; Jonathan Soares Pereira; Suylan de Almeida Midlej e Silva (J. Enterp. Inf. Manag., 2018)

Reference Tracts and Generative Models for Brain White Matter Tractography - Susana Muñoz Maniega; Mark E. Bastin; Ian J. Deary; Joanna M. Wardlaw; Jonathan D. Clayden (J. Imaging, 2018)

Understanding Scoped-Flooding for Content Discovery and Caching in Content Networks - Liang Wang; Suzan Bayhan; Jörg Ott; Jussi Kangasharju; Jon Crowcroft (IEEE J. Sel. Areas Commun., 2018)

A 32 Gb/s, 4.7 pJ/bit Optical Link With -11.7 dBm Sensitivity in 14-nm FinFET CMOS - Jonathan E. Proesel; Zeynep Toprak Deniz; Alessandro Cevrero; Ilter Özkaya; Seongwon Kim; Daniel M. Kuchta; Sungjae Lee; Sergey V. Rylov; Herschel A. Ainspan; Timothy O. Dickson; John F. Bulzacchelli; Mounir Meghelli (IEEE J. Solid State Circuits, 2018)

Line Structure-Based Indoor and Outdoor Integration Using Backpacked and TLS Point Cloud Data - Chenglu Wen; Xiaotian Sun; Shiwei Hou; Jinbin Tan; Yudi Dai; Cheng Wang; Jonathan Li (IEEE Geosci. Remote. Sens. Lett., 2018)

Gene3D: Extensive prediction of globular domains in proteins - Tony E. Lewis; Ian Sillitoe; Natalie L. Dawson; Su Datt Lam; Tristan Clarke; David A. Lee; Christine A. Orengo; Jonathan G. Lees (Nucleic Acids Res., 2018)

Gene3D: Extensive prediction of globular domains in proteins - Tony E. Lewis; Ian Sillitoe; Natalie L. Dawson; Su Datt Lam; Tristan Clarke; David A. Lee; Christine A. Orengo; Jonathan G. Lees (Nucleic Acids Res., 2018)

Consensus coding sequence (CCDS) database: a standardized set of human and mouse protein-coding regions supported by expert curation - Shashikant Pujar; Nuala A. O'Leary; Catherine M. Farrell; Jane E. Loveland; Jonathan M. Mudge; Craig Wallin; Carlos García-Girón; Mark Diekhans; If Barnes; Ruth Bennett; Andrew E. Berry; Eric Cox; et al. (Nucleic Acids Res., 2018)

WikiPathways: a multifaceted pathway database bridging metabolomics to other omics research - Denise N. Slenter; Martina Kutmon; Kristina Hanspers; Anders Riutta; Jacob Windsor; Nuno Nunes; Jonathan Mélius; Elisa Cirillo; Susan L. Coort; Daniela Digles; Friederike Ehrhart; Pieter Giesbertz; et al. (Nucleic Acids Res., 2018)

KnotGenome: a server to analyze entanglements of chromosomes - Joanna I. Sulkowska; Szymon Niewieczerzal; Aleksandra I. Jarmolinska; Jonathan T. Siebert; Peter Virnau; Wanda Niemyska (Nucleic Acids Res., 2018)

Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration - Mohammad R. Arbabshirani; Brandon K. Fornwalt; Gino J. Mongelluzzo; Jonathan D. Suever; Brandon D. Geise; Aalpen A. Patel; Gregory J. Moore (npj Digit. Medicine, 2018)

Encoding multiple contextual clues for partial-duplicate image retrieval - Zhili Zhou; Q. M. Jonathan Wu; Xingming Sun (Pattern Recognit. Lett., 2018)

A Tellurium Oxide Microcavity Resonator Sensor Integrated On-Chip with a Silicon Waveguide - Henry C. Frankis; Daniel Su; Dawson B. Bonneville; Jonathan D. B. Bradley (Sensors, 2018)

Analysis and Design of a CMOS Ultra-High-Speed Burst Mode Imager with In-Situ Storage Topology Featuring In-Pixel CDS Amplification - Lin-Kun Wu; David San Segundo Bello; Philippe Coppejans; Jan Craninckx; Andreas Süss; Maarten Rosmeulen; Piet Wambacq; Jonathan Borremans (Sensors, 2018)

Three-Dimensional Segmentation of the Ex-Vivo Anterior Lamina Cribrosa From Second-Harmonic Imaging Microscopy - Sundaresh Ram; Forest Danford; Stephen Howerton; Jeffrey J. Rodríguez; Jonathan P. Vande Geest (IEEE Trans. Biomed. Eng., 2018)

Deformable Dictionary Learning for SAR Image Change Detection - Lin Li; Yongqiang Zhao; Jinjun Sun; Rustam Stolkin; Quan Pan; Jonathan Cheung-Wai Chan; Seong G. Kong; Zhunga Liu (IEEE Trans. Geosci. Remote. Sens., 2018)

Argobots: A Lightweight Low-Level Threading and Tasking Framework - Sangmin Seo; Abdelhalim Amer; Pavan Balaji; Cyril Bordage; George Bosilca; Alex Brooks; Philip H. Carns; Adrián Castelló; Damien Genet; Thomas Hérault; Shintaro Iwasaki; Prateek Jindal; et al. (IEEE Trans. Parallel Distributed Syst., 2018)

Improvements in LTE-Advanced Time Series Prediction with Dimensionality Reduction Algorithms - Alexandra Mercader; Jonathan Ah Sue; Ralph Hasholzner; Johannes Brendel (IEEE 5G World Forum, 5GWF 2018, Silicon Valley, CA, USA, July 9-11, 2018, 2018)

Mission-Centric Automated Cyber Red Teaming - Suneel Randhawa; Benjamin P. Turnbull; Joseph Yuen; Jonathan Dean (Proceedings of the 13th International Conference on Availability, Reliability and Security, ARES 2018, Hamburg, Germany, August 27-30, 2018, 2018)

Assessing National Development Plans for Alignment With Sustainable Development Goals via Semantic Search - Jonathan Galsurkar; Moninder Singh; Lingfei Wu; Aditya Vempaty; Mikhail Sushkov; Devika Iyer; Serge Kapto; Kush R. Varshney (Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, 2018)

Efficiently Approximating the Pareto Frontier: Hydropower Dam Placement in the Amazon Basin - Xiaojian Wu; Jonathan Gomes-Selman; Qinru Shi; Yexiang Xue; Roosevelt García-Villacorta; Elizabeth Anderson; Suresh Sethi; Scott Steinschneider; Alexander Flecker; Carla P. Gomes (Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, 2018)

The impact of information systems on work structure and culture in an emergency department - Atlarelang Basetsana Kesiilwe; Reeva Lederman; Suelette Dreyfus; Jonathan Knott (Australasian Conference on Information Systems, ACIS 2018, Sydney, NSW, Australia, December 3-5, 2018, 2018)

Matrix-normal models for fMRI analysis - Michael Shvartsman; Narayanan Sundaram; Mikio Aoi; Adam Charles; Theodore L. Willke; Jonathan D. Cohen (International Conference on Artificial Intelligence and Statistics, AISTATS 2018, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, Spain, 2018)

Utility of Visual Analytics for Identifying Patient Subgroups in EMRs: Insights for Accelerating Precision Medicine - Suresh K. Bhavnani; Revathi Sellappan; Saurabh Joshi; Jonathan Starkey; Winston Chan; Tianlong Chen; Shyam Visweswaran (AMIA 2018, American Medical Informatics Association Annual Symposium, San Francisco, CA, November 3-7, 2018, 2018)

Apertium's Web Toolchain for Low-Resource Language Technology - Sushain Cherivirala; Shardul Chiplunkar; Jonathan North Washington; Kevin Unhammer (Proceedings of the Workshop on Technologies for MT of Low Resource Languages, LoResMT@AMTA 2018, Boston, MA, USA, March 21, 2018, 2018)

The Importance of Regulatory Fit & Early Success in a Human-Machine Game - Eli Pincus; Su Lei; Gale M. Lucas; Emmanuel Johnson; Michael Tsang; Jonathan Gratch; David R. Traum (Proceedings of the Technology, Mind, and Society Conference, APAScience 2018, Washington, DC, USA, April 05-07, 2018, 2018)

Arya: Nearly Linear-Time Zero-Knowledge Proofs for Correct Program Execution - Jonathan Bootle; Andrea Cerulli; Jens Groth; Sune K. Jakobsen; Mary Maller (Advances in Cryptology - ASIACRYPT 2018 - 24th International Conference on the Theory and Application of Cryptology and Information Security, Brisbane, QLD, Australia, December 2-6, 2018, Proceedings, Part I, 2018)

Logic Process Compatible 40nm 256K exttimes144 Embedded RRAM with Low Voltage Current Limiter and Ambient Compensation Scheme to Improve the Read Window - Chien-An Lai; Chung-Cheng Chou; Chi-Hsiang Weng; Zheng-Jun Lin; Pei-Ling Tseng; Chien-Fan Wang; Chih-Chen Wang; Chin-I Su; Wei-Chi Chen; Yu-Cheng Lin; Tong-Chern Ong; Chi Chang; et al. (IEEE Asian Solid-State Circuits Conference, A-SSCC 2018, Tainan, Taiwan, November 5-7, 2018, 2018)

Security Framework for the Semiconductor Supply Chain Environment - Alireza Esfahani; Georgios Mantas; Mariana Barcelos; Firooz B. Saghezchi; Victor Sucasas; Joaquim Bastos; Jonathan Rodriguez (Broadband Communications, Networks, and Systems - 9th International EAI Conference, BROADNETS 2018, Faro, Portugal, September 19-20, 2018, Proceedings, 2018)

ChromaGlasses: Computational Glasses for Compensating Colour Blindness - Tobias Langlotz; Jonathan Sutton; Stefanie Zollmann; Yuta Itoh; Holger Regenbrecht (Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018, Montreal, QC, Canada, April 21-26, 2018, 2018)

Analog/mixed-signal design challenges in 7-nm CMOS and beyond - Alvin Leng Sun Loke; Da Yang; Tin Tin Wee; Jonathan L. Holland; Patrick Isakanian; Kern Rim; Sam Yang; Jacob S. Schneider; Giri Nallapati; Sreeker Dundigal; Hasnain Lakdawala; Behnam Amelifard; et al. (2018 IEEE Custom Integrated Circuits Conference, CICC 2018, San Diego, CA, USA, April 8-11, 2018, 2018)

Early-Developing Causal Perception is Sensitive to Multiple Physical Constraints - Jonathan F. Kominsky; Susan Carey (Proceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018, Madison, WI, USA, July 25-28, 2018, 2018)

A deep learning approach to training a brain activity-based trial-by-trial classifier for rapid serial visual presentation imagery - Katherine Porterfield; Leslie M. Blaha; Jonathan Suter; Johnathan Cree; Gianluca Longoni; Jesse M. Johns; Gerges Dib; Kayla Duskin (Proceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018, Madison, WI, USA, July 25-28, 2018, 2018)

Morphological Reinflection in Context: CU Boulder's Submission to CoNLL-SIGMORPHON 2018 Shared Task - Ling Liu; Ilamvazhuthy Subbiah; Adam Wiemerslage; Jonathan Lilley; Sarah R. Moeller (Proceedings of the CoNLL SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection, Brussels, October 31 - November 1, 2018, 2018)

Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects - Jonathan Tremblay; Thang To; Balakumar Sundaralingam; Yu Xiang; Dieter Fox; Stan Birchfield (2nd Annual Conference on Robot Learning, CoRL 2018, Zürich, Switzerland, 29-31 October 2018, Proceedings, 2018)

A Perceptual Measure for Deep Single Image Camera Calibration - Yannick Hold-Geoffroy; Kalyan Sunkavalli; Jonathan Eisenmann; Matthew Fisher; Emiliano Gambaretto; Sunil Hadap; Jean-François Lalonde (2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018, 2018)

Efficiently Optimizing for Dendritic Connectivity on Tree-Structured Networks in a Multi-Objective Framework - Qinru Shi; Jonathan Michael Gomes Selman; Roosevelt García-Villacorta; Suresh Sethi; Alexander S. Flecker; Carla P. Gomes (Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, COMPASS 2018, Menlo Park and San Jose, CA, USA, June 20-22, 2018, 2018)

3 Gbps Free Space Optical Link based on Integrated Indium Phosphide Transmitter - Hongwei Zhao; Sergio Pinna; Bowen Song; Ludovico Megalini; Simone Tommaso Suran Brunelli; Larry Coldren; Jonathan Klamkin (76th Device Research Conference, DRC 2018, Santa Barbara, CA, USA, June 24-27, 2018, 2018)

Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification - Saining Xie; Chen Sun; Jonathan Huang; Zhuowen Tu; Kevin Murphy (Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XV, 2018)

A Time motion Study Evaluating the Impact of Information Technology on Emergency Department consultants Activities - Atlarelang Basetsana Kesiilwe; Reeva Lederman; Suelette Dreyfus; Jonathan Knott (26th European Conference on Information Systems: Beyond Digitization - Facets of Socio-Technical Change, ECIS 2018, Portsmouth, UK, June 23-28, 2018, 2018)

A demonstration of monitoring and measuring data centers for energy efficiency using opensource tools - Jonas Gustafsson; Sebastian Fredriksson; Magnus Nilsson-Mäki; Daniel Olsson; Jeffrey Sarkinen; Henrik Niska; Nicolas Seyvet; Tor Björn Minde; Jonathan L. Summers (Proceedings of the Ninth International Conference on Future Energy Systems, e-Energy 2018, Karlsruhe, Germany, June 12-15, 2018, 2018)

Dynamically Mapping Socket Loading Conditions During Real Time Operation of an Upper Limb Prosthesis - Jonathan Fu; Harrison Nguyen; Dong Woo Kim; Christopher Shallal; Sue Min Cho; Luke Osborn; Nitish V. Thakor (40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018, Honolulu, HI, USA, July 18-21, 2018, 2018)

An Adaptive Frame Image Sensor with Fine-Grained Power Management for Ultra-Low Power Internet of Things Application - Masato Osawa; S. Hiraide; S. Suzuki; H. Kato; Kosei Tamiya; Yasunari Harada; Kuba Raczkowski; J. L. Bacq; Peter Van Wesemael; M. Liu; Annachiara Spagnolo; K. De Munck; et al. (44th IEEE European Solid State Circuits Conference, ESSCIRC 2018, Dresden, Germany, September 3-6, 2018, 2018)

Cross-Layer Optimization in Terminals - Valerio Frascolla; Jonathan Ah Sue; Muhammad Mudussir Ayub; Krzysztof Miesniak; Ralph Hasholzner; Juergen Englisch; Amal Ben Ameur (26th European Signal Processing Conference, EUSIPCO 2018, Roma, Italy, September 3-7, 2018, 2018)

Learning and Reasoning in Complex Coalition Information Environments: A Critical Analysis - Federico Cerutti; Moustafa Alzantot; Tianwei Xing; Daniel Harborne; Jonathan Z. Bakdash; Dave Braines; Supriyo Chakraborty; Lance M. Kaplan; Angelika Kimmig; Alun D. Preece; Ramya Raghavendra; Murat Sensoy; et al. (21st International Conference on Information Fusion, FUSION 2018, Cambridge, UK, July 10-13, 2018, 2018)

What Are User Requirements? Developing an ISO Standard - Nigel Bevan; Jim Carter; Jonathan Earthy; Thomas Geis; Susan Harker (Human-Computer Interaction. Theories, Methods, and Human Issues - 20th International Conference, HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018, Proceedings, Part I, 2018)

Scalable Proximity-Based Methods for Large-Scale Analysis of Atom Probe Data - Hao Lu; Sudip K. Seal; Jonathan D. Poplawsky (25th IEEE International Conference on High Performance Computing, HiPC 2018, Bengaluru, India, December 17-20, 2018, 2018)

OuterSPACE: An Outer Product Based Sparse Matrix Multiplication Accelerator - Subhankar Pal; Jonathan Beaumont; Dong-Hyeon Park; Aporva Amarnath; Siying Feng; Chaitali Chakrabarti; Hun-Seok Kim; David T. Blaauw; Trevor N. Mudge; Ronald G. Dreslinski (IEEE International Symposium on High Performance Computer Architecture, HPCA 2018, Vienna, Austria, February 24-28, 2018, 2018)

Bon Appetit! Robot Persuasion for Food Recommendation - Sarita Herse; Jonathan Vitale; Daniel Ebrahimian; Meg Tonkin; Suman Ojha; Sidra; Benjamin Johnston; Sophie Phillips; Gudi Siva Leela Krishna Chand; Jesse Clark; William Judge; Mary-Anne Williams (Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2018, Chicago, IL, USA, March 05-08, 2018, 2018)

Be More Transparent and Users Will Like You: A Robot Privacy and User Experience Design Experiment - Jonathan Vitale; Meg Tonkin; Sarita Herse; Suman Ojha; Jesse Clark; Mary-Anne Williams; Xun Wang; William Judge (Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2018, Chicago, IL, USA, March 05-08, 2018, 2018)

IoT security vulnerability: A case study of a Web camera - Yogeesh Seralathan; Tae Tom Oh; Suyash Jadhav; Jonathan Myers; Jaehoon Paul Jeong; Young Ho Kim; Jeong Neyo Kim (20th International Conference on Advanced Communication Technology, ICACT 2018, Elysian Gangchon, Chuncheon, Korea (South), February 11-14, 2018, 2018)

Use of Virtual Reality Using Render Semi-realistic as an Alternative Medium for the Treatment of Phobias. Case Study: Arachnophobia - Jonathan Almeida; David Suárez; Freddy Tapia; Graciela Guerrero (Applied Informatics - First International Conference, ICAI 2018, Bogotá, Colombia, November 1-3, 2018, Proceedings, 2018)

A review of high-level robot functionality for elderly care - Nico Sun; Erfu Yang; Jonathan R. Corney; Yi Chen; Zeli Ma (24th International Conference on Automation and Computing, ICAC 2018, Newcastle upon Tyne, United Kingdom, September 6-7, 2018, 2018)

Validated Thermal Air Management Simulations of Data Centers Using Remote Graphics Processing Units - Johannes Sjölund; Mattias Vesterlund; Nicolas Delbosc; Amirul Khan; Jon Summers (IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, Washington, DC, USA, October 21-23, 2018, 2018)

Global Monitoring of Fault Zones and Volcanoes with Sentinel-1 - Andrew Hooper; Tim J. Wright; Karsten Spaans; John Elliott; Jonathan R. Weiss; Marco Bagnardi; Emma L. Hatton; Susanna K. Ebmeier; Matthew Gaddes; Qiang Qiu; Alistair McDougall; Richard J. Walters; et al. (2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, July 22-27, 2018, 2018)

Discriminative Learning of Point Cloud Feature Descriptors Based on Siamese Network - Xuelun Shen; Cheng Wang; Chenglu Wen; Weiquan Liu; Xiaotian Sun; Jonathan Li (2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, July 22-27, 2018, 2018)

Indoor Navigation Guidance for Mobile Device - Jonathan Marihot Parulian; Kiki Maulana Adhinugraha; Sultan Alamri (Proceedings of the 20th International Conference on Information Integration and Web-based Applications & Services, iiWAS 2018, Yogyakarta, Indonesia, November 19-21, 2018, 2018)

The Future of Deception: Machine-Generated and Manipulated Images, Video, and Audio? - Jonathan Z. Bakdash; Char Sample; Monica Rankin; Murat Kantarcioglu; Jennifer S. Holmes; Sue Kase; Erin G. Zaroukian; Boleslaw K. Szymanski (2018 International Workshop on Social Sensing, SocialSens@IoTDI 2018, Orlando, FL, USA, April 17, 2018, 2018)

Efficient, Parallel At-scale Correlation Analysis for Atom Probe Tomography on Hybrid Architectures - Hao Lu; Sudip K. Seal; Gregory Muzyn; Wei Guo; Jonathan D. Poplawsky (2018 IEEE International Parallel and Distributed Processing Symposium, IPDPS 2018, Vancouver, BC, Canada, May 21-25, 2018, 2018)

Automatic Convolutional Neural Network Selection for Image Classification Using Genetic Algorithms - Haiman Tian; Samira Pouyanfar; Jonathan Chen; Shu-Ching Chen; S. Sitharama Iyengar (2018 IEEE International Conference on Information Reuse and Integration, IRI 2018, Salt Lake City, UT, USA, July 6-9, 2018, 2018)

Design of SUPERball v2, a Compliant Tensegrity Robot for Absorbing Large Impacts - Massimo Vespignani; Jeffrey M. Friesen; Vytas SunSpiral; Jonathan Bruce (2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018, Madrid, Spain, October 1-5, 2018, 2018)

Any-Axis Tensegrity Rolling via Symmetry-Reduced Reinforcement Learning - David Allen Surovik; Jonathan Bruce; Kun Wang; Massimo Vespignani; Kostas E. Bekris (Proceedings of the 2018 International Symposium on Experimental Robotics, ISER 2018, Buenos Aires, Argentina, November 5-8, 2018, 2018)

Skyline Identification in Multi-Arm Bandits - Albert Cheu; Ravi Sundaram; Jonathan R. Ullman (2018 IEEE International Symposium on Information Theory, ISIT 2018, Vail, CO, USA, June 17-22, 2018, 2018)

Space Target Motion Salient Classification using Polarimetric Retina Vision Sensing Principles - Anthony Beninati; Nicolas Douard; Gloria Bauman; Jonathan Hoogerhyde; Anargiros Passalaris; Zoe Giakos; Martin Nowak; Suman Shrestha; Hussam Eldin Mohamed; Michalis E. Zervakis; Georgios Livanos; George C. Giakos (2018 IEEE International Conference on Imaging Systems and Techniques, IST 2018, Krakow, Poland, October 16-18, 2018, 2018)

Thalamic Nuclei Segmentation Using Tractography, Population-Specific Priors and Local Fibre Orientation - Carla Semedo; M. Jorge Cardoso; Sjoerd B. Vos; Carole H. Sudre; Martina Bocchetta; Annemie Ribbens; Dirk Smeets; Jonathan D. Rohrer; Sébastien Ourselin (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III, 2018)

Statistical mechanics of low-rank tensor decomposition - Jonathan Kadmon; Surya Ganguli (Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada, 2018)

Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning - Supasorn Suwajanakorn; Noah Snavely; Jonathan Tompson; Mohammad Norouzi (Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada, 2018)

Interdisciplinary programming language design - Michael J. Coblenz; Jonathan Aldrich; Brad A. Myers; Joshua Sunshine (Proceedings of the 2018 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software, Onward! 2018, Boston, MA, USA, November 7-8, 2018, 2018)

Obfuscation resilient search through executable classification - Fang-Hsiang Su; Jonathan Bell; Gail E. Kaiser; Baishakhi Ray (Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, MAPL@PLDI 2018, Philadelphia, PA, USA, June 18-22, 2018, 2018)

Democratizing data science through data science training - John Darrell Van Horn; Lily Fierro; Jeana Kamdar; Jonathan Gordon; Crystal Stewart; Avnish Bhattrai; Sumiko Abe; Xiaoxiao Lei; Caroline O'Driscoll; Aakanchha Sinha; Priyambada Jain; Gully Burns; et al. (Biocomputing 2018: Proceedings of the Pacific Symposium, The Big Island of Hawaii, Hawaii, USA, January 3-7, 2018, 2018)

Do You Trust Me, Blindly? Factors Influencing Trust Towards a Robot Recommender System - Sarita Herse; Jonathan Vitale; Meg Tonkin; Daniel Ebrahimian; Suman Ojha; Benjamin Johnston; William Judge; Mary-Anne Williams (27th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2018, Nanjing, China, August 27-31, 2018, 2018)

High strength bubble artificial muscles for walking assistance - Richard Suphapol Diteesawat; Tim Helps; Majid Taghavi; Jonathan Rossiter (IEEE International Conference on Soft Robotics, RoboSoft 2018, Livorno, Italy, April 24-28, 2018, 2018)

Reinforcement Learning for Power-Efficient Grant Prediction in LTE - Peter Brand; Joachim Falk; Jonathan Ah Sue; Johannes Brendel; Ralph Hasholzner; Jürgen Teich (Proceedings of the 21st International Workshop on Software and Compilers for Embedded Systems, SCOPES 2018, Sankt Goar, Germany, May 28-30, 2018, 2018)

Impacts of SW-ARQ on the Latency and Reliability of Diffusive, In-Sequence Molecular Communication - Kento Furuhashi; Junichi Suzuki; Jonathan S. Mitzman; Tadashi Nakano; Yutaka Okaie; Hiroaki Fukuda (2018 IEEE International Conference on Sensing, Communication and Networking, SECON Workshops 2018, Hong Kong, Hong Kong, June 11, 2018, 2018)

B4 and after: managing hierarchy, partitioning, and asymmetry for availability and scale in google's software-defined WAN - Chi-Yao Hong; Subhasree Mandal; Mohammad Al-Fares; Min Zhu; Richard Alimi; Kondapa Naidu Bollineni; Chandan Bhagat; Sourabh Jain; Jay Kaimal; Shiyu Liang; Kirill Mendelev; Steve Padgett; et al. (Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication, SIGCOMM 2018, Budapest, Hungary, August 20-25, 2018, 2018)

Drive-Net: Convolutional Network for Driver Distraction Detection - Mohammed S. Majdi; Sundaresh Ram; Jonathan T. Gill; Jeffrey J. Rodríguez (2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018, Las Vegas, NV, USA, April 8-10, 2018, 2018)

Practical Accountability of Secret Processes - Jonathan Frankle; Sunoo Park; Daniel Shaar; Shafi Goldwasser; Daniel J. Weitzner (27th USENIX Security Symposium, USENIX Security 2018, Baltimore, MD, USA, August 15-17, 2018, 2018)

Direct Application of Convolutional Neural Network Features to Image Quality Assessment - Xianxu Hou; Ke Sun; Bozhi Liu; Yuanhao Gong; Jonathan M. Garibaldi; Guoping Qiu (IEEE Visual Communications and Image Processing, VCIP 2018, Taichung, Taiwan, December 9-12, 2018, 2018)

A predictive dynamic power management for LTE-Advanced mobile devices - Jonathan Ah Sue; Peter Brand; Johannes Brendel; Ralph Hasholzner; Joachim Falk; Jürgen Teich (2018 IEEE Wireless Communications and Networking Conference, WCNC 2018, Barcelona, Spain, April 15-18, 2018, 2018)

Are All People Married?: Determining Obligatory Attributes in Knowledge Bases - Jonathan Lajus; Fabian M. Suchanek (Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018, 2018)

Learning-Based Quality Control for Cardiac MR Images - Giacomo Tarroni; Ozan Oktay; Wenjia Bai; Andreas Schuh; Hideaki Suzuki; Jonathan Passerat-Palmbach; Ben Glocker; Paul M. Matthews; Daniel Rueckert (CoRR, 2018)

Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations - Alex Lamb; Jonathan Binas; Anirudh Goyal; Dmitriy Serdyuk; Sandeep Subramanian; Ioannis Mitliagkas; Yoshua Bengio (CoRR, 2018)

Visualization and Labeling of Point Clouds in Virtual Reality - Jonathan Dyssel Stets; Yongbin Sun; Wiley Corning; Scott Greenwald (CoRR, 2018)

On the Impact of Guest Traffic in Open-Access Domestic Broadband Sharing Schemes - Sotiris-Angelos Lenas; Vassilis Tsaoussidis; Srikanth Sundaresan; Arjuna Sathiaseelan; Jon Crowcroft (CoRR, 2018)

Obfuscation Resilient Search through Executable Classification - Fang-Hsiang Su; Jonathan Bell; Gail E. Kaiser; Baishakhi Ray (CoRR, 2018)

This looks like that: deep learning for interpretable image recognition - Chaofan Chen; Oscar Li; Alina Barnett; Jonathan Su; Cynthia Rudin (CoRR, 2018)

Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning - Supasorn Suwajanakorn; Noah Snavely; Jonathan Tompson; Mohammad Norouzi (CoRR, 2018)

Highly Accelerated Multishot EPI through Synergistic Combination of Machine Learning and Joint Reconstruction - Berkin Bilgic; Itthi Chatnuntawech; Mary Kate Manhard; Qiyuan Tian; Congyu Liao; Stephen F. Cauley; Susie Yi Huang; Jonathan R. Polimeni; Lawrence L. Wald; Kawin Setsompop (CoRR, 2018)

Fidelius: Protecting User Secrets from Compromised Browsers - Saba Eskandarian; Jonathan Cogan; Sawyer Birnbaum; Peh Chang Wei Brandon; Dillon Franke; Forest Fraser; Gaspar Garcia Jr.; Eric Gong; Hung T. Nguyen; Taresh K. Sethi; Vishal Subbiah; Michael Backes; et al. (CoRR, 2018)

Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects - Jonathan Tremblay; Thang To; Balakumar Sundaralingam; Yu Xiang; Dieter Fox; Stan Birchfield (CoRR, 2018)

A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning - Mel Vecerík; Oleg Sushkov; David Barker; Thomas Rothörl; Todd Hester; Jonathan Scholz (CoRR, 2018)

Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program - Paisan Raumviboonsuk; Jonathan Krause; Peranut Chotcomwongse; Rory Sayres; Rajiv Raman; Kasumi Widner; Bilson J. L. Campana; Sonia Phene; Kornwipa Hemarat; Mongkol Tadarati; Sukhum Silpa-Archa; Jirawut Limwattanayingyong; et al. (CoRR, 2018)

Statistical mechanics of low-rank tensor decomposition - Jonathan Kadmon; Surya Ganguli (CoRR, 2018)