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ORCIDCoRR, October 2024
- Zahra Asadi, Joshua Pardillo Castillo, Mehrdad Asadi, David S. Sinclair, Marta Kersten-Oertel:
iSurgARy: A mobile augmented reality solution for ventriculostomy in resource-limited settings. - Hua Yan, Heng Tan, Yi Ding, Pengfei Zhou, Vinod Namboodiri, Yu Yang:
Language-centered Human Activity Recognition. - Gentiana Rashiti, Geethan Karunaratne, Mrinmaya Sachan, Abu Sebastian, Abbas Rahimi:
Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization. - Yikuan Xia, Jiazun Chen, Jun Gao:
Winning Solution For Meta KDD Cup' 24. - Irene Weber:
Low-code from frontend to backend: Connecting conversational user interfaces to backend services via a low-code IoT platform. - Markus Lohmayer, Michael Kraus, Sigrid Leyendecker:
Exergetic Port-Hamiltonian Systems: Compositional fluid and electro-magneto hydrodynamics models. - Lanre Sadeeq, Qasim Ajao:
Research on Enhancing C-V2X Communication via Danger-Aware Vehicular Networking. - Yifu Ding, Jansen Wong, Serena Patel, Dharik Mallapragada, Guiyan Zang, Robert Stoner:
A Dataset of the Operating Station Heat Rate for 806 Indian Coal Plant Units using Machine Learning. - Alejandro Aparcedo, Christian Lopez, Abhinav Kotta, Mengjie Li:
Multimodal Power Outage Prediction for Rapid Disaster Response and Resource Allocation. - Shweta, Saddam Hussain, Rajesh Kumar:
Hybridized Projected Differential Transform Method For collisional-breakage equation. - Shuyue Wang, Wenjun Zhou, Han Jiang, Shuo Wang, Ren Zheng:
TREB: a BERT attempt for imputing tabular data imputation. - Maxime Poli, Emmanuel Chemla, Emmanuel Dupoux:
Improving Spoken Language Modeling with Phoneme Classification: A Simple Fine-tuning Approach. - Bolaji Gbadamosi, Luigi Leonardi, Tobias Pulls, Toke Høiland-Jørgensen, Simone Ferlin-Reiter, Simo Sorce, Anna Brunström:
The eBPF Runtime in the Linux Kernel. - Md. Johirul Islam, Umme Rumman, Arifa Ferdousi, Md. Sarwar Pervez, Iffat Ara, Shamim Ahmad, Fahmida Haque, Sawal Hamid, Md. Ali, Kh Shahriya Zaman, Mamun Bin Ibne Reaz, Mustafa Habib Chowdhury, Md. Rezaul Islam:
Impact of Electrode Position on Forearm Orientation Invariant Hand Gesture Recognition. - Adrián Pekár:
AutoFlow: An Autoencoder-based Approach for IP Flow Record Compression with Minimal Impact on Traffic Classification. - Ryan Y. Lin, Siddhartha Ojha, Kevin Cai, Maxwell F. Chen:
Strategic Collusion of LLM Agents: Market Division in Multi-Commodity Competitions. - Victoria Violet Hoyle:
The Phenomenology of Machine: A Comprehensive Analysis of the Sentience of the OpenAI-o1 Model Integrating Functionalism, Consciousness Theories, Active Inference, and AI Architectures. - Akeem Temitope Otapo, Alice Othmani, Ghazaleh Khodabandelou, Zuheng Ming:
Prediction and Detection of Terminal Diseases Using Internet of Medical Things: A Review. - Dian Lyu, Yuetong Lu, Jassie He, Murad Mehrab Abrar, Ruijun Xie, John Raiti:
InsightPulse: An IoT-based System for User Experience Interview Analysis. - Rick White:
A Novel Spinor-Based Embedding Model for Transformers. - Junjun Huang:
Artificial intelligence-based blockchain-driven financial default prediction. - Guancheng Wan, Zewen Liu, Max S. Y. Lau, B. Aditya Prakash, Wei Jin:
Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph. - Federico Fontana, Romeo Lanzino, Anxhelo Diko, Gian Luca Foresti, Luigi Cinque:
CycleBNN: Cyclic Precision Training in Binary Neural Networks. - Haoran Li, Zhennan Jiang, Yuhui Chen, Dongbin Zhao:
Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization. - Chen Chen, Yuxin He, Hao Wang, Jingjing Chen, Qin Luo:
DelayPTC-LLM: Metro Passenger Travel Choice Prediction under Train Delays with Large Language Models. - Jizu Huang, Rukang You, Tao Zhou:
Frequency-adaptive Multi-scale Deep Neural Networks. - Zheng Zhang, Hossein Amiri, Dazhou Yu, Yuntong Hu, Liang Zhao, Andreas Züfle:
Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories. - Carl E. J. Brodzinski:
Survey of Security and Data Attacks on Machine Unlearning In Financial and E-Commerce. - Jiang Wang, Haibin Wei, Xiaowei Xu, Jiacheng Shi, Jian Nie, Longzhi Du, Taixu Jiang:
STTM: A New Approach Based Spatial-Temporal Transformer And Memory Network For Real-time Pressure Signal In On-demand Food Delivery. - Chaohui Xu, Qi Cui, Jinxin Dong, Weiyang He, Chip-Hong Chang:
IDEA: An Inverse Domain Expert Adaptation Based Active DNN IP Protection Method. - Hannes Thurnherr, Kaspar Riesen:
Neural Decompiling of Tracr Transformers. - Kaushik Roy, Akila Dissanayake, Brendan Tidd, Peyman Moghadam:
M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning. - Karol Pak, Cezary Kaliszyk:
Conway Normal Form: Bridging Approaches for Comprehensive Formalization of Surreal Numbers. - Arvid Lepsien, Marco Pegoraro, Frederik Fonger, Dominic Langhammer, Milda Aleknonyte-Resch, Agnes Koschmider:
Ranking the Top-K Realizations of Stochastically Known Event Logs. - Pepijn de Reus, Kyra Dresen, Ana Oprescu, Kristina Irion, Ans Kolk:
An interdisciplinary exploration of trade-offs between energy, privacy and accuracy aspects of data. - Hugo Daniel Macedo, Ken Pierce, Leo Freitas:
Proceedings of the 22nd International Overture Workshop. - Anestis Kaimakamidis, Ioannis Mademlis, Ioannis Pitas:
Collaborative Knowledge Distillation via a Learning-by-Education Node Community. - Daan Caljon, Jente Van Belle, Jeroen Berrevoets, Wouter Verbeke:
Optimizing Treatment Allocation in the Presence of Interference. - Wenyue Hua, Mengting Wan, Shashank Vadrevu, Ryan Nadel, Yongfeng Zhang, Chi Wang:
Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface. - Roland Pihlakas, Joel Pyykkö:
From homeostasis to resource sharing: Biologically and economically compatible multi-objective multi-agent AI safety benchmarks. - Oytun Demirbilek, Tingying Peng, Alaa Bessadok:
Graph Residual Noise Learner Network for Brain Connectivity Graph Prediction. - Giannis Daras, Hyungjin Chung, Chieh-Hsin Lai, Yuki Mitsufuji, Jong Chul Ye, Peyman Milanfar, Alexandros G. Dimakis, Mauricio Delbracio:
A Survey on Diffusion Models for Inverse Problems. - Sunil Kumar, Ted Sandler, Paulina Varshavskaya:
Fine-tuning Vision Classifiers On A Budget. - Zhen Han, Zeyinzi Jiang, Yulin Pan, Jingfeng Zhang, Chaojie Mao, Chenwei Xie, Yu Liu, Jingren Zhou:
ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer. - Alan Papalia, Yulun Tian, David M. Rosen, Jonathan P. How, John J. Leonard:
An Overview of the Burer-Monteiro Method for Certifiable Robot Perception. - Levi Cai, Kevin Chang, Yogesh A. Girdhar:
Learning to Swim: Reinforcement Learning for 6-DOF Control of Thruster-driven Autonomous Underwater Vehicles. - Pradyumna Elavarthi, Anca L. Ralescu, Mark D. Johnson, Charles J. Prestigiacomo:
Using fractal dimension to predict the risk of intra cranial aneurysm rupture with machine learning. - Zachary J. Fuge, Benjamin Beiter, Alexander Leonessa:
Additively Manufactured Open-Source Quadruped Robots for Multi-Robot SLAM Applications. - Alp Sahin, Nicolas Kozachuk, Rick S. Blum, Subhrajit Bhattacharya:
Resonance Reduction Against Adversarial Attacks in Dynamic Networks via Eigenspectrum Optimization. - Maciej Krzywda, Szymon Lukasik, Amir H. Gandomi:
Cartesian Genetic Programming Approach for Designing Convolutional Neural Networks. - Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou:
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models. - Jiachen Ye, Dingyu Wang, Shaocheng Jia, Xin Pei, Zi Yang, Yi Zhang, Sze Chun Wong:
CVVLSNet: Vehicle Location and Speed Estimation Using Partial Connected Vehicle Trajectory Data. - Melkamu Mersha, Mesay Gemeda Yigezu, Jugal Kalita:
Semantic-Driven Topic Modeling Using Transformer-Based Embeddings and Clustering Algorithms. - Nicholas Rober, Jonathan P. How:
Constraint-Aware Refinement for Safety Verification of Neural Feedback Loops. - Ananias Tomboulides, Matthew J. Churchfield, Paul F. Fischer, Michael A. Sprague, Misun Min:
Modeling Turbulence in the Atmospheric Boundary Layer with Spectral Element and Finite Volume Methods. - Divya Patel, Pathik Patel, Ankush Chander, Sourish Dasgupta, Tanmoy Chakraborty:
Are Large Language Models In-Context Personalized Summarizers? Get an iCOPERNICUS Test Done! - Qiushuo Hou, Sangwoo Park, Matteo Zecchin, Yunlong Cai, Guanding Yu, Osvaldo Simeone:
What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systems. - Stephen Miner, Yoshiki Takashima, Simeng Han, Ferhat Erata, Timos Antonopoulos, Ruzica Piskac, Scott J. Shapiro:
Scheherazade: Evaluating Chain-of-Thought Math Reasoning in LLMs with Chain-of-Problems. - Haiyan Zhao, Heng Zhao, Bo Shen, Ali Payani, Fan Yang, Mengnan Du:
Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution. - Abhinav Kumar, Peter Mitrano, Dmitry Berenson:
Constraining Gaussian Process Implicit Surfaces for Robot Manipulation via Dataset Refinement. - Isaac Rehg:
KV-Compress: Paged KV-Cache Compression with Variable Compression Rates per Attention Head. - Pedro Henrique Paiola, Gabriel Lino Garcia, João Renato Ribeiro Manesco, Mateus Roder, Douglas Rodrigues, João Paulo Papa:
Adapting LLMs for the Medical Domain in Portuguese: A Study on Fine-Tuning and Model Evaluation. - Hongyu Chen, Weiming Zeng, Chengcheng Chen, Luhui Cai, Fei Wang, Lei Wang, Wei Zhang, Yueyang Li, Hongjie Yan, Wai Ting Siok, Nizhuan Wang:
EEG Emotion Copilot: Pruning LLMs for Emotional EEG Interpretation with Assisted Medical Record Generation. - Weiting Tan, Hirofumi Inaguma, Ning Dong, Paden Tomasello, Xutai Ma:
SSR: Alignment-Aware Modality Connector for Speech Language Models. - Rossen Nenov, Daniel Haider, Peter Balazs:
(Almost) Smooth Sailing: Towards Numerical Stability of Neural Networks Through Differentiable Regularization of the Condition Number. - Tyler Ingebrand, Adam J. Thorpe, Somdatta Goswami, Krishna Kumar, Ufuk Topcu:
Basis-to-Basis Operator Learning Using Function Encoders. - Sarthak Pati, Szymon Mazurek, Spyridon Bakas:
GaNDLF-Synth: A Framework to Democratize Generative AI for (Bio)Medical Imaging. - Bingsheng Yao, Yao Du, Yue Fu, Xuhai Xu, Yanjun Gao, Hong Yu, Dakuo Wang:
Exploring Interdisciplinary Team Collaboration in Clinical NLP Projects Through the Lens of Activity Theory. - Rongchen Guo, Isar Nejadgholi, Hillary Dawkins, Kathleen C. Fraser, Svetlana Kiritchenko:
Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender Discourse. - Greg Eisenhauer, Norbert Podhorszki, Ana Gainaru, Scott Klasky, Philip E. Davis, Manish Parashar, Matthew Wolf, Eric Suchtya, Erick Fredj, Vicente Bolea, Franz Pöschel, Klaus Steiniger, Michael Bussmann, Richard Pausch, Sunita Chandrasekaran:
Streaming Data in HPC Workflows Using ADIOS. - Kush Dubey:
Evaluating the fairness of task-adaptive pretraining on unlabeled test data before few-shot text classification. - Rene Mai, Agung Julius, Sandipan Mishra:
Analysis of human steering behavior differences in human-in-control and autonomy-in-control driving. - Emma McDaniel, Samuel Scheele, Jeff Liu:
Zero-Shot Classification of Crisis Tweets Using Instruction-Finetuned Large Language Models. - Hossein Amiri, Will Kohn, Shiyang Ruan, Joon-Seok Kim, Hamdi Kavak, Andrew T. Crooks, Dieter Pfoser, Carola Wenk, Andreas Züfle:
The Patterns of Life Human Mobility Simulation. - Daeun Joyce Chung, Muya Guoji, Nina Mindel, Alexis Malkin, Fernando Alberotrio, Shane Lowe, Chris McNally, Casandra Xavier, Paul Ruvolo:
Large-scale, Longitudinal, Hybrid Participatory Design Program to Create Navigation Technology for the Blind. - Buse Giledereli, Yifan Hou, Yilei Tu, Mrinmaya Sachan:
Do Vision-Language Models Really Understand Visual Language? - Si Cheng, Shuxu Huffman, Qingxiaoyang Zhu, Haotian Su, Raja S. Kushalnagar, Qi Wang:
"Real Learner Data Matters" Exploring the Design of LLM-Powered Question Generation for Deaf and Hard of Hearing Learners. - Si Cheng, Haocong Cheng, Suzy Su, Lu Ming, Sarah Masud, Qi Wang, Yun Huang:
Motion Design Principles for Accessible Video-based Learning: Addressing Cognitive Challenges for Deaf and Hard of Hearing Learners. - Si Chen, Jason Situ, Haocong Cheng, Suzy Su, Desirée Kirst, Lu Ming, Qi Wang, Lawrence Angrave, Yun Huang:
Inclusive Emotion Technologies: Addressing the Needs of d/Deaf and Hard of Hearing Learners in Video-Based Learning. - Yi-Hao Peng, Faria Huq, Yue Jiang, Jason Wu, Amanda Xin Yue Li, Jeffrey P. Bigham, Amy Pavel:
DreamStruct: Understanding Slides and User Interfaces via Synthetic Data Generation. - Yichen Guo, Paul F. Fischer, Misun Min:
Spectral Element Simulation of Liquid Metal Magnetohydrodynamics. - Tuan Anh Nguyen:
Multilevel Picard approximations overcome the curse of dimensionality when approximating semilinear heat equations with gradient-dependent nonlinearities in Lp-sense. - Saihui Hou, Panjian Huang, Zengbin Wang, Yuan Liu, Zeyu Li, Man Zhang, Yongzhen Huang:
OpenAnimals: Revisiting Person Re-Identification for Animals Towards Better Generalization. - Éric Colin de Verdière, Petr Hlinený:
FPT Algorithms for Crossing Number Problems: A Unified Approach. - Tin Yuet Chung, Majid Latifi:
Evaluating the performance of state-of-the-art esg domain-specific pre-trained large language models in text classification against existing models and traditional machine learning techniques. - Mehran Attar, Walter Lucia:
A Data-Driven Approach To Preserve Safety and Reference Tracking for Constrained Cyber-Physical Systems Under Network Attacks. - Dmitry Kosolobov:
Closed Repeats. - Tim Beyer, Angela Dai:
End-to-end Piano Performance-MIDI to Score Conversion with Transformers. - Pierre Monmarché, Renato Spacek, Gabriel Stoltz:
Transient subtraction: A control variate method for computing transport coefficients. - Yejin Lee, Anna Y. Sun, Basil Hosmer, Bilge Acun, Can Balioglu, Changhan Wang, Charles David Hernandez, Christian Puhrsch, Daniel Haziza, Driss Guessous, Francisco Massa, Jacob Kahn, Jeffrey Wan, Jeremy Reizenstein, Jiaqi Zhai, Joe Isaacson, Joel Schlosser, Juan Pino, Kaushik Ram Sadagopan, Leonid Shamis, Linjian Ma, Min-Jae Hwang, Mingda Chen, Mostafa Elhoushi, Pedro Rodriguez, Ram Pasunuru, Scott Yih, Sravya Popuri, Xing Liu, Carole-Jean Wu:
Characterizing and Efficiently Accelerating Multimodal Generation Model Inference. - Lan Li, Liri Fang, Yiren Liu, Vetle I. Torvik, Bertram Ludäscher:
T-KAER: Transparency-enhanced Knowledge-Augmented Entity Resolution Framework. - Oliver J. Shindell, Aaron C. Davis, David J. Cappelleri:
Micromanipulation System for Microscale Magnetic Component Alignment and Assembly. - Wentao Tang:
Koopman Operator in the Weighted Function Spaces and its Learning for the Estimation of Lyapunov and Zubov Functions. - Md Rejwanur Rahman, Adrian Rodriguez-Marek, Nina Stark, Grace Massey, Carl Friedrichs, Kelly M. Dorgan:
Probabilistic Classification of Near-Surface Shallow-Water Sediments using A Portable Free-Fall Penetrometer. - Qi Wu, Zipeng Fu, Xuxin Cheng, Xiaolong Wang, Chelsea Finn:
Helpful DoggyBot: Open-World Object Fetching using Legged Robots and Vision-Language Models. - Qiang Ye:
Preconditioning for Accelerated Gradient Descent Optimization and Regularization. - Abdulmajeed Alsubhi, Rosemary Renaut:
Split Bregman Isotropic and Anisotropic Image Deblurring with Kronecker Product Sum Approximations using Single Precision Enlarged-GKB or RSVD Algorithms to provide low rank truncated SVDs. - Hamid Jafarkhani, Hossein Maleki, Mojtaba Vaezi:
Modulation and Coding for NOMA and RSMA. - Rithvik Prakki:
Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active Inference. - Tomàs Ortega, Hamid Jafarkhani:
Quantized and Asynchronous Federated Learning. - Martin Kittel, Wolf-Peter Schill:
Quantifying the Dunkelflaute: An analysis of variable renewable energy droughts in Europe. - Weiliang Qi, Jiahao Cao, Darsh Poddar, Sophia Li, Xinda Wang:
Enhancing Pre-Trained Language Models for Vulnerability Detection via Semantic-Preserving Data Augmentation. - Marina Ribeiro, Bárbara Malcorra, Natália B. Mota, Rodrigo Wilkens, Aline Villavicencio, Lilian C. Hubner, César Rennó-Costa:
A Methodology for Explainable Large Language Models with Integrated Gradients and Linguistic Analysis in Text Classification. - Anna Deichler, Jim O'Regan, Jonas Beskow:
MM-Conv: A Multi-modal Conversational Dataset for Virtual Humans. - Weitai Kang, Haifeng Huang, Yuzhang Shang, Mubarak Shah, Yan Yan:
Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning. - Qianwen Xing, Chang Yu, Sining Huang, Qi Zheng, Xingyu Mu, Mengying Sun:
Enhanced Credit Score Prediction Using Ensemble Deep Learning Model. - Lancelot Da Costa, Tomás Gavenciak, David Hyland, Mandana Samiei, Cristian Dragos-Manta, Candice Pattisapu, Adeel Razi, Karl J. Friston:
Possible principles for aligned structure learning agents. - Vinayak Arannil, Neha Narwal, Sourav Sanjukta Bhabesh, Sai Nikhil Thirandas, Darren Yow-Bang Wang, Graham Horwood, Alex Anto Chirayath, Gouri Pandeshwar:
DoPAMine: Domain-specific Pre-training Adaptation from seed-guided data Mining. - Kejia Ren, Gaotian Wang, Andrew S. Morgan, Lydia E. Kavraki, Kaiyu Hang:
Object-Centric Kinodynamic Planning for Nonprehensile Robot Rearrangement Manipulation. - Jian Shi, Zhenyu Li, Peter Wonka:
ImmersePro: End-to-End Stereo Video Synthesis Via Implicit Disparity Learning. - Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy:
Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation. - Aleyna Kütük, Tevfik Metin Sezgin:
Class-Agnostic Visio-Temporal Scene Sketch Semantic Segmentation. - Sachin Karmani, Thanushon Sivakaran, Gaurav Prasad, Mehmet Ali, Wenbo Yang, Sheyang Tang:
KPCA-CAM: Visual Explainability of Deep Computer Vision Models using Kernel PCA. - Yuchen Chu, Zeshi Yang:
Real-time Diverse Motion In-betweening with Space-time Control. - Zida Wu, Ankur Mehta:
Decentralized Input and State Estimation for Multi-agent System with Dynamic Topology and Heterogeneous Sensor Network. - Shashank Subramanian, Ermal Rrapaj, Peter Harrington, Smeet Chheda, Steven Farrell, Brian Austin, Samuel Williams, Nicholas J. Wright, Wahid Bhimji:
Comprehensive Performance Modeling and System Design Insights for Foundation Models. - Amina Kobenova, Cyan DeVeaux, Samyak Parajuli, Andrzej Banburski-Fahey, Judith Amores Fernandez, Jaron Lanier:
Social Conjuring: Multi-User Runtime Collaboration with AI in Building Virtual 3D Worlds. - Rohaifa Khaldi, Domingo Alcaraz-Segura, Ignacio Sánchez-Herrera, Javier Martínez-López, Carlos Javier Navarro, Siham Tabik:
On Large Uni- and Multi-modal Models for Unsupervised Classification of Social Media Images: Nature's Contribution to People as a case study.