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ORCIDCoRR, August 2023
- Pavel Naumov, Anna Ovchinnikova:
De Re and De Dicto Knowledge in Egocentric Setting. - Georg Wenzel
, Adam Jatowt:
An Overview Of Temporal Commonsense Reasoning and Acquisition. - Kopo M. Ramokapane, Lizzie Coles-Kemp, Nikhil Patnaik, Rui Huan, Nirav Ajmeri, Genevieve Liveley, Awais Rashid:
Towards Equitable Privacy. - Sanjay Chakraborty, Saroj Kumar Pandey, Saikat Maity, Lopamudra Dey:
Detection and Classification of Novel Attacks and Anomaly in IoT Network using Rule based Deep Learning Model. - Sankalpa Rijal, Rajan Neupane, Saroj Prasad Mainali, Shishir Kumar Regmi, Shanta Maharjan:
Monaural Multi-Speaker Speech Separation Using Efficient Transformer Model. - Haoyang Yu, Yutong Sun, Yulin Liu, Luyao Zhang:
Bitcoin Gold, Litecoin Silver: An Introduction to Cryptocurrency's Valuation and Trading Strategy. - Gabriela Barenboim, Luigi Del Debbio, Johannes Hirn, Verónica Sanz:
Exploring how a Generative AI interprets music. - Giorgio Franceschelli, Mirco Musolesi:
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges. - Alessandro Pinto:
Analysis and Design of Uncertain Cyber-Physical Systems. - Zhehua Zhou, Jiayang Song, Xuan Xie, Zhan Shu, Lei Ma, Dikai Liu, Jianxiong Yin, Simon See:
Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation. - Jacob-Junqi Tian, Omkar Dige, David Emerson, Faiza Khan Khattak:
Interpretable Stereotype Identification through Reasoning. - Daniel Kazenwadel, Christoph V. Steinert:
How User Language Affects Conflict Fatality Estimates in ChatGPT. - Prabin Bhandari, Hannah Marie Brennan:
Trustworthiness of Children Stories Generated by Large Language Models. - Khushnaseeb Roshan, Aasim Zafar:
Using Kernel SHAP XAI Method to optimize the Network Anomaly Detection Model. - Panchamy Krishnakumari, Sascha Hoogendoorn-Lanser, Jeroen Steenbakkers, Serge P. Hoogendoorn:
Crowd Safety Manager: Towards Data-Driven Active Decision Support for Planning and Control of Crowd Events. - Khushnaseeb Roshan, Aasim Zafar, Sheikh Burhan Ul Haque:
A Novel Deep Learning based Model to Defend Network Intrusion Detection System against Adversarial Attacks. - Jamie Lee, Zhaoyuan Su, Yunan Chen:
Mobile Apps for Children's Health and Wellbeing: Design Features and Future Opportunities. - Mehwish Alam, Frank van Harmelen, Maribel Acosta:
Towards Semantically Enriched Embeddings for Knowledge Graph Completion. - Yahui Fu, Koji Inoue, Chenhui Chu, Tatsuya Kawahara:
Reasoning before Responding: Integrating Commonsense-based Causality Explanation for Empathetic Response Generation. - Andrés Mateo-Gabín, Kenza Tlales, Eusebio Valero, Esteban Ferrer, Gonzalo Rubio:
Unsupervised machine-learning shock-capturing technique for high-order solvers. - Yuqian Cheng, Daniel M. Kane, Zhicheng Zheng:
New Lower Bounds for Testing Monotonicity and Log Concavity of Distributions. - Jiuhong Xiao, Gao Zhu, Giuseppe Loianno:
Visual Geo-localization with Self-supervised Representation Learning. - Nikhil Mishra, Pieter Abbeel, Xi Chen, Maximilian Sieb:
Convolutional Occupancy Models for Dense Packing of Complex, Novel Objects. - Su Been Lee, WonJun Moon, Hyun Seok Seong, Jae-Pil Heo:
Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification. - Viktor Rakhmatulin, Denis Grankin, Mikhail Konenkov, Sergei Davidenko, Daria Trinitatova, Oleg Sautenkov, Dzmitry Tsetserukou:
AirTouch: Towards Safe Human-Robot Interaction Using Air Pressure Feedback and IR Mocap System. - Julie A. Adams, Joshua Hamell, Phillip M. Walker:
Can A Single Human Supervise A Swarm of 100 Heterogeneous Robots? - Paolo D'Alberto, Abhishek Kumar Jain, Ismail Bustany, Henri Fraisse, Mansimran Benipal:
Entropy Maximization in Sparse Matrix by Vector Multiplication (maxESpMV). - Basil Kaufmann, Dallin Busby, Chandan Krushna Das, Neeraja Tillu, Mani Menon, Ashutosh K. Tewari, Michael A. Gorin:
Validation of a Zero-Shot Learning Natural Language Processing Tool for Data Abstraction from Unstructured Healthcare Data. - Weixin Wu, Hankz Hankui Zhuo:
DPBERT: Efficient Inference for BERT based on Dynamic Planning. - Gary Marcus, Evelina Leivada, Elliot Murphy:
A Sentence is Worth a Thousand Pictures: Can Large Language Models Understand Human Language? - Pierre Fernandez, Antoine Chaffin, Karim Tit, Vivien Chappelier, Teddy Furon:
Three Bricks to Consolidate Watermarks for Large Language Models. - Rushrukh Rayan, Cogan Shimizu, Heidi Sieverding, Pascal Hitzler:
A Modular Ontology for MODS - Metadata Object Description Schema. - Stewart N. Ethier, Jiyeon Lee:
A game-theoretic analysis of baccara chemin de fer, II. - Kunal Sanjay Narkhede, Dhruv Ashwinkumar Thanki, Abhijeet Mangesh Kulkarni, Ioannis Poulakakis:
Overtaking Moving Obstacles with Digit: Path Following for Bipedal Robots via Model Predictive Contouring Control. - Andreas Happe, Jürgen Cito:
Getting pwn'd by AI: Penetration Testing with Large Language Models. - Chao Huang, Susan Liang, Yapeng Tian, Anurag Kumar, Chenliang Xu:
DAVIS: High-Quality Audio-Visual Separation with Generative Diffusion Models. - Chak Shing Lee, François P. Hamon, Nicola Castelletto, Panayot S. Vassilevski, Joshua A. White:
Multilevel well modeling in aggregation-based nonlinear multigrid for multiphase flow in porous media. - Yassine Ghannane, Mohamed S. Abdelfattah:
DiviML: A Module-based Heuristic for Mapping Neural Networks onto Heterogeneous Platforms. - Dzenan Lapandic, Christos K. Verginis, Dimos V. Dimarogonas, Bo Wahlberg:
Kinodynamic Motion Planning via Funnel Control for Underactuated Unmanned Surface Vehicles. - Martin Hirzel, Michael Feffer:
A Suite of Fairness Datasets for Tabular Classification. - Qingyuan Jiang, Volkan Isler:
Onboard View Planning of a Flying Camera for High Fidelity 3D Reconstruction of a Moving Actor. - Anant Khandelwal:
InFusion: Inject and Attention Fusion for Multi Concept Zero-Shot Text-based Video Editing. - Hemn Barzan Abdalla, Awder M. Ahmed, Bahtiyar Mehmed, Mehdi Gheisari, Maryam Cheraghy:
An Efficient Recommendation System in E-commerce using Passer learning optimization based on Bi-LSTM. - Chester Holtz, Pengwen Chen, Alexander Cloninger, Chung-Kuan Cheng, Gal Mishne:
Semi-Supervised Laplacian Learning on Stiefel Manifolds. - Shahaf Bassan, Guy Amir, Davide Corsi, Idan Refaeli, Guy Katz:
Formally Explaining Neural Networks within Reactive Systems. - Sanjay Lall, Calin Cascaval, Martin Izzard, Tammo Spalink:
Logical Synchrony and the bittide Mechanism. - Sandra Gilhuber, Julian Busch, Daniel Rotthues, Christian M. M. Frey, Thomas Seidl:
DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification. - Liran Wang, Xunzhu Tang, Yichen He, Changyu Ren, Shuhua Shi, Chaoran Yan, Zhoujun Li:
Delving into Commit-Issue Correlation to Enhance Commit Message Generation Models. - Martin Büßemeyer, Max Reimann, Benito Buchheim, Amir Semmo, Jürgen Döllner, Matthias Trapp:
Controlling Geometric Abstraction and Texture for Artistic Images. - Mohammad Panahazari, Matthew Koscak, Jianhua Zhang, Daqing Hou, Jing Wang, David Wenzhong Gao:
A Hybrid Optimization and Deep Learning Algorithm for Cyber-resilient DER Control. - Vikram Jain, Matheus A. Cavalcante, Nazareno Bruschi, Michael Rogenmoser, Thomas Benz, Andreas Kurth, Davide Rossi, Luca Benini, Marian Verhelst:
PATRONoC: Parallel AXI Transport Reducing Overhead for Networks-on-Chip targeting Multi-Accelerator DNN Platforms at the Edge. - Hussain Ahmad Madni, Rao Muhammad Umer, Gian Luca Foresti:
Federated Learning for Data and Model Heterogeneity in Medical Imaging. - Abdurrahman Elmaghbub, Bechir Hamdaoui:
On the Impact of the Hardware Warm-Up Time on Deep Learning-Based RF Fingerprinting. - François Remy, Simone Scaboro, Beatrice Portelli:
Boosting Adverse Drug Event Normalization on Social Media: General-Purpose Model Initialization and Biomedical Semantic Text Similarity Benefit Zero-Shot Linking in Informal Contexts. - Serge Gladkoff, Gleb Erofeev, Lifeng Han, Goran Nenadic:
Predicting Perfect Quality Segments in MT Output with Fine-Tuned OpenAI LLM: Is it possible to capture editing distance patterns from historical data? - Nuno Cunha, Tiago Barros, Mário Reis, Tiago Marta, Cristiano Premebida, Urbano J. Nunes:
Multispectral Image Segmentation in Agriculture: A Comprehensive Study on Fusion Approaches. - Seyed Samie Alizadeh Darbandi, Alex Fornito, Abdorasoul Ghasemi:
The impact of input node placement in the controllability of brain networks. - Rohit Raj, V. Susheela Devi:
Adversarially Robust Neural Legal Judgement Systems. - Xin Zhang, Yuqi Song, Fei Zuo, Xiaofeng Wang:
Towards Imbalanced Large Scale Multi-label Classification with Partially Annotated Labels. - Bohan Zhang, Yashaswini Shivalingaiah, Ankit Agrawal:
DroneReqValidator: Facilitating High Fidelity Simulation Testing for Uncrewed Aerial Systems Developers. - Artur Jez, Anthony W. Lin, Oliver Markgraf, Philipp Rümmer:
Decision Procedures for Sequence Theories (Technical Report). - Kincaid MacDonald, Dhananjay Bhaskar, Guy Thampakkul, Nhi Nguyen, Joia Zhang, Michael Perlmutter, Ian Adelstein, Smita Krishnaswamy:
A Flow Artist for High-Dimensional Cellular Data. - Charlie Hou, Kiran Koshy Thekumparampil, Michael Shavlovsky, Giulia Fanti, Yesh Dattatreya, Sujay Sanghavi:
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity. - Ruochu Yang, Chad Lembke, Fumin Zhang, Catherine R. Edwards:
General Anomaly Detection of Underwater Gliders Validated by Large-scale Deployment Dataset. - Aniket Dhole, Bibek Gupta, Adarsh Salagame, Xuejian Niu, Yizhe Xu, Kaushik Venkatesh Krishnamurthy, Paul Ghanem, Ioannis Mandralis, Eric Sihite, Alireza Ramezani:
Hovering Control of Flapping Wings in Tandem with Multi-Rotors. - Leopoldo E. Bertossi:
Attribution-Scores in Data Management and Explainable Machine Learning. - Farhad Nawaz, Tianyu Li, Nikolai Matni, Nadia Figueroa:
Learning Safe and Stable Motion Plans with Neural Ordinary Differential Equations. - Chiyu Zhang, Ji Han, Yao Zou, Kexin Dong, Yujia Li, Junchun Ding, Xiaoling Han:
Detecting the Anomalies in LiDAR Pointcloud. - Ari Holtzman, Peter West, Luke Zettlemoyer:
Generative Models as a Complex Systems Science: How can we make sense of large language model behavior? - Sanad Aburass, Osama M. Dorgham:
Performance Evaluation of Swin Vision Transformer Model using Gradient Accumulation Optimization Technique. - Vincent Moreau, Lê Thành Dung Nguyên:
Syntactically and semantically regular languages of lambda-terms coincide through logical relations. - Ali Ayub, Alan R. Wagner:
CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in Robotics. - Andy Vidan, Lars H. Fiedler:
A Composable Just-In-Time Programming Framework with LLMs and FBP. - Yuelin Xin, Zihan Zhou, Yuxuan Xia:
Scene Separation & Data Selection: Temporal Segmentation Algorithm for Real-Time Video Stream Analysis. - Chaochao Zhou, Syed Hasib Akhter Faruqui, Abhinav Patel, Ramez N. Abdalla, Michael C. Hurley, Ali Shaibani, Matthew B. Potts, Babak S. Jahromi, Leon Cho, Sameer A. Ansari, Donald R. Cantrell:
Robust Single-view Cone-beam X-ray Pose Estimation with Neural Tuned Tomography (NeTT) and Masked Neural Radiance Fields (mNeRF). - Aida Damanpak Rizi, Antika Roy, Rouhan Noor, Hyo Kang, Nitin Varshney, Katja Jacob, Sindia Rivera-Jimenez, Nathan Edwards, Volker J. Sorger, Hamed Dalir, Navid Asadizanjani:
From Talent Shortage to Workforce Excellence in the CHIPS Act Era: Harnessing Industry 4.0 Paradigms for a Sustainable Future in Domestic Chip Production. - Yubao Zhang, Xin Chen, Yi Gu, Zhicheng Li, Wu Kai:
Deep Reinforcement Learning-Based Battery Conditioning Hierarchical V2G Coordination for Multi-Stakeholder Benefits. - Haru Kondoh, Asako Kanezaki:
Multi-goal Audio-visual Navigation using Sound Direction Map. - KiYoon Yoo, Wonhyuk Ahn, Nojun Kwak:
Advancing Beyond Identification: Multi-bit Watermark for Language Models. - Liwenhan Xie, Zhaoyu Zhou, Kerun Yu, Yun Wang, Huamin Qu, Siming Chen:
Wakey-Wakey: Animate Text by Mimicking Characters in a GIF. - Itay Itzhak, Gabriel Stanovsky, Nir Rosenfeld, Yonatan Belinkov:
Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias. - Jaechang Ko, John Ajibefun, Wei Yan:
Experiments on Generative AI-Powered Parametric Modeling and BIM for Architectural Design. - Zhifeng Wang, Ramesh S. Sankaranarayana:
Using Scene and Semantic Features for Multi-modal Emotion Recognition. - Alberto D. Rodriguez, Katherine R. Dearstyne, Jane Cleland-Huang:
Prompts Matter: Insights and Strategies for Prompt Engineering in Automated Software Traceability. - Sadhana Lolla, Iaroslav Elistratov, Alejandro Perez, Elaheh Ahmadi, Daniela Rus, Alexander Amini:
Capsa: A Unified Framework for Quantifying Risk in Deep Neural Networks. - Eric Sihite, Filip Slezak, Ioannis Mandralis, Adarsh Salagame, Milad Ramezani, Arash Kalantari, Alireza Ramezani, Morteza Gharib:
Demonstrating Autonomous 3D Path Planning on a Novel Scalable UGV-UAV Morphing Robot. - Chengxiao Sun, Yan Xu, Jialun Pei, Haopeng Fang, He Tang:
Partitioned Saliency Ranking with Dense Pyramid Transformers. - Jing Zhao, Qianqian Su:
Verifiable Data Sharing Scheme for Dynamic Multi-Owner Setting. - Geyang Guo, Jiarong Yang, Fengyuan Lu, Jiaxin Qin, Tianyi Tang, Wayne Xin Zhao:
Towards Effective Ancient Chinese Translation: Dataset, Model, and Evaluation. - Hikaru Hoshino, Yosuke Irie, Eiko Furutani:
Screening Curve Method for Economic Analysis of Photovoltaic Self-Consumption. - Haonan Li, Yu Hao, Yizhuo Zhai, Zhiyun Qian:
The Hitchhiker's Guide to Program Analysis: A Journey with Large Language Models. - Dustin Pulver, Prithila Angkan, Paul Hungler, Ali Etemad:
EEG-based Cognitive Load Classification using Feature Masked Autoencoding and Emotion Transfer Learning. - Ali Shokri, Alexandre Perez, Souma Chowdhury, Chen Zeng, Gerald Kaloor, Ion Matei, Peter-Patel Schneider, Akshith Gunasekaran, Shantanu Rane:
CONSTRUCT: A Program Synthesis Approach for Reconstructing Control Algorithms from Embedded System Binaries in Cyber-Physical Systems. - Guanyu Xu, Jiawei Hao, Li Shen, Han Hu, Yong Luo, Hui Lin, Jialie Shen:
LGViT: Dynamic Early Exiting for Accelerating Vision Transformer. - Therese Joseph, Tobias Fischer, Michael Milford:
Trajectory Tracking via Multiscale Continuous Attractor Networks. - Zihao Zhao, Yuzhu Mao, Zhenpeng Shi, Yang Liu, Tian Lan, Wenbo Ding, Xiao-Ping Zhang:
AQUILA: Communication Efficient Federated Learning with Adaptive Quantization of Lazily-Aggregated Gradients. - Jiawei Xu, Diego S. D'Antonio, Dominic J. Ammirato, David Saldaña:
SBlimp: Design, Model, and Translational Motion Control for a Swing-Blimp. - Yuan Liu, Songyang Zhang, Jiacheng Chen, Zhaohui Yu, Kai Chen, Dahua Lin:
Improving Pixel-based MIM by Reducing Wasted Modeling Capability. - Xuan-Bac Nguyen, Xudong Liu, Xin Li, Khoa Luu:
The Algonauts Project 2023 Challenge: UARK-UAlbany Team Solution. - Tomàs Ortega, Hamid Jafarkhani:
Asynchronous Federated Learning with Bidirectional Quantized Communications and Buffered Aggregation. - Zehui Wu, Ziwei Gong, Jaywon Koo, Julia Hirschberg:
Multi-Modality Multi-Loss Fusion Network. - Zhenyuan Zhang, Zhenbo Song, Kaihao Zhang, Wenhan Luo, Zhaoxin Fan, Jianfeng Lu:
Benchmarking Ultra-High-Definition Image Reflection Removal. - Rei Aso, Sayaka Shiota, Hitoshi Kiya:
Enhanced Security with Encrypted Vision Transformer in Federated Learning. - Samantha Chen, Yusu Wang:
Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions. - Shiraz Khan, Inseok Hwang, James Goppert:
Exploiting Sparsity for Localization of Large-Scale Wireless Sensor Networks. - Hyeon Jeon, Yun-Hsin Kuo, Michaël Aupetit, Kwan-Liu Ma, Jinwook Seo:
Classes are not Clusters: Improving Label-based Evaluation of Dimensionality Reduction. - Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. - Akihiro Mizoguchi, Anna Bogdanova, Akira Imakura, Tetsuya Sakurai:
Data Collaboration Analysis applied to Compound Datasets and the Introduction of Projection data to Non-IID settings. - Hyeon Jeon, Aeri Cho, Jinhwa Jang, Soohyun Lee, Jake Hyun, Hyung-Kwon Ko, Jaemin Jo, Jinwook Seo:
ZADU: A Python Library for Evaluating the Reliability of Dimensionality Reduction Embeddings. - Hyeon Jeon, Ghulam Jilani Quadri, Hyunwook Lee, Paul Rosen, Danielle Albers Szafir, Jinwook Seo:
CLAMS: A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering. - Manisha Senadeera, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Predictive Modeling through Hyper-Bayesian Optimization. - Minghao Chen, Zepeng Gao, Shuai Zhao, Qibo Qiu, Wenxiao Wang, Binbin Lin, Xiaofei He:
A Study of Unsupervised Evaluation Metrics for Practical and Automatic Domain Adaptation. - Zian Liu, Lei Pan, Chao Chen, Ejaz Ahmed, Shigang Liu, Jun Zhang, Dongxi Liu:
VulMatch: Binary-level Vulnerability Detection Through Signature. - Leslie Greengard, Shidong Jiang:
A Dual-space Multilevel Kernel-splitting Framework for Discrete and Continuous Convolution. - Yuntong Zhang, Andreea Costea, Ridwan Shariffdeen, Davin McCall, Abhik Roychoudhury:
Patch Space Exploration using Static Analysis Feedback. - Shamanthak Hegde, Soumya Jahagirdar, Shankar Gangisetty:
Making the V in Text-VQA Matter. - Yujie Wei, Jiaxin Ye, Zhizhong Huang, Junping Zhang, Hongming Shan:
Online Prototype Learning for Online Continual Learning. - Zhennan Chen, Rongrong Gao, Tian-Zhu Xiang, Fan Lin:
Diffusion Model for Camouflaged Object Detection. - Jiaao Chen, Xiaoman Pan, Dian Yu, Kaiqiang Song, Xiaoyang Wang, Dong Yu, Jianshu Chen:
Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models.