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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 Chen, 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, Tomas 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. - Alireza Ardalani, Joseph Antonucci, Iulian Neamtiu:
Towards Precise Detection of Personal Information Leaks in Mobile Health Apps. - Grigorios A. Pavliotis, Renato Spacek, Gabriel Stoltz, Urbain Vaes:
Neural network approaches for variance reduction in fluctuation formulas. - Dongcheng Li, W. Eric Wong, Xiaodan Wang, Sean Pan, Liang-Seng Koh:
Smart Contract Vulnerability Detection based on Static Analysis and Multi-Objective Search. - Mohssen E. Elshaar, Zeyad M. Manaa, Mohammed R. Elbalshy, Abdul Jabbar Siddiqui, Ayman M. Abdallah:
Performance Evaluation of Deep Learning-based Quadrotor UAV Detection and Tracking Methods. - Levi Burner, Cornelia Fermüller, Yiannis Aloimonos:
Embodied Visuomotor Representation. - Dasong Li, Wenjie Li, Baili Lu, Hongsheng Li, Sizhuo Ma, Gurunandan Krishnan, Jian Wang:
Delving Deep into Engagement Prediction of Short Videos. - Chun-Hsiao Yeh, Jiayun Wang, Andrew D. Graham, Andrea J. Liu, Bo Tan, Yubei Chen, Yi Ma, Meng C. Lin:
Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis. - Murat Isik, Jonathan Naoukin, Ismail Can Dikmen:
NeuroVM: Dynamic Neuromorphic Hardware Virtualization. - Xuefeng Du, Reshmi Ghosh, Robert Sim, Ahmed Salem, Vitor Carvalho, Emily Lawton, Yixuan Li, Jack W. Stokes:
VLMGuard: Defending VLMs against Malicious Prompts via Unlabeled Data. - (Withdrawn) Algorithmic Considerations for Effective Global Search of Robust Low-Thrust Trajectories.
- Zhangshuo Qi, Junyi Ma, Jingyi Xu, Zijie Zhou, Luqi Cheng, Guangming Xiong:
GSPR: Multimodal Place Recognition Using 3D Gaussian Splatting for Autonomous Driving. - Tracy Sweet, Selena Wang:
Network Science in Psychology. - Vanessa Hernandez-Cruz, Xiaotong Zhang, Kamal Youcef-Toumi:
Bayesian Intention for Enhanced Human Robot Collaboration. - Yunzhuo Guo, Qian Yin, Zhengru Zhang:
A structure-preserving implicit exponential time differencing scheme for Maxwell-Ampère Nernst-Planck model. - Moinak Bhattacharya, Gagandeep Singh, Shubham Jain, Prateek Prasanna:
RadGazeGen: Radiomics and Gaze-guided Medical Image Generation using Diffusion Models. - Laura Bravo Sánchez, Jaewoo Heo, Zhenzhen Weng, Kuan-Chieh Wang, Serena Yeung-Levy:
Ask, Pose, Unite: Scaling Data Acquisition for Close Interactions with Vision Language Models. - Guangyao Liu, Tianqi Mao, Zhenyu Xiao, Ruiqi Liu, Miaowen Wen:
Pre-Chirp-Domain Index Modulation for Full-Diversity Affine Frequency Division Multiplexing towards 6G. - Haozhe Chen, Run Chen, Julia Hirschberg:
EmoKnob: Enhance Voice Cloning with Fine-Grained Emotion Control. - Haoran Sun, Qingying Gao, Haiyun Lyu, Dezhi Luo, Hokin Deng, Yijiang Li:
Probing Mechanical Reasoning in Large Vision Language Models. - Qihang Zhou, Jiangtao Yan, Shibo He, Wenchao Meng, Jiming Chen:
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection. - Chieh-Yun Chen, Chiang Tseng, Li-Wu Tsao, Hong-Han Shuai:
A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding Optimization. - Marcos M. Vasconcelos, Odilon Câmara:
Strategic information disclosure with communication constraints and private preferences. - Qingying Gao, Yijiang Li, Haiyun Lyu, Haoran Sun, Dezhi Luo, Hokin Deng:
Vision Language Models See What You Want but not What You See. - Chenqing Hua, Yong Liu, Dinghuai Zhang, Odin Zhang, Sitao Luan, Kevin K. Yang, Guy Wolf, Doina Precup, Shuangjia Zheng:
EnzymeFlow: Generating Reaction-specific Enzyme Catalytic Pockets through Flow Matching and Co-Evolutionary Dynamics. - Shangye Chen, Jin Huang, Shuangyan Yang, Jie Liu, Huaicheng Li, Dimitrios Nikolopoulos, Junhee Ryu, Jinho Baek, Kwangsik Shin, Dong Li:
Tuning Fast Memory Size based on Modeling of Page Migration for Tiered Memory. - Dezhi Luo, Haiyun Lyu, Qingying Gao, Haoran Sun, Yijiang Li, Hokin Deng:
Vision Language Models Know Law of Conservation without Understanding More-or-Less. - Quyen Tran, Nguyen Xuan Thanh, Nguyen Hoang Anh, Nam Le Hai, Trung Le, Linh Ngo Van, Thien Huu Nguyen:
Preserving Generalization of Language models in Few-shot Continual Relation Extraction. - Leheng Li, Weichao Qiu, Yingjie Cai, Xu Yan, Qing Lian, Bingbing Liu, Ying-Cong Chen:
SyntheOcc: Synthesize Geometric-Controlled Street View Images through 3D Semantic MPIs. - Gabriel Franco, Mark Crovella:
Sparse Attention Decomposition Applied to Circuit Tracing. - Leonas Liu, Yingfan Zhang, Larry Zhang, Mehbi Kermanshabi:
RRT-CBF Based Motion Planning. - Lilac Atassi:
Integrating Text-to-Music Models with Language Models: Composing Long Structured Music Pieces. - Carles Domingo-Enrich:
A Taxonomy of Loss Functions for Stochastic Optimal Control. - Diego Gómez-Zará, Victoria Kam, Charles Chiang, Leslie A. DeChurch, Noshir Contractor:
Augmenting team diversity and performance by enabling agency and fairness criteria in recommendation algorithms. - (Withdrawn) Revisiting the Role of Texture in 3D Person Re-identification.
- Christian Arzate Cruz, Yotam Sechayk, Takeo Igarashi, Randy Gomez:
Data Augmentation for 3DMM-based Arousal-Valence Prediction for HRI. - Changlin Li, Jiawei Zhang, Sihao Lin, Zongxin Yang, Junwei Liang, Xiaodan Liang, Xiaojun Chang:
Efficient Training of Large Vision Models via Advanced Automated Progressive Learning. - Zepei Sun, Randall Berry:
Interleaved One-Shot SPS Performance under Smart DoS Attacks in C-V2X Networks. - Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi, Yusuke Miyao:
Hierarchical Organization Simulacra in the Investment Sector. - Keshu Wu, Pei Li, Yang Cheng, Steven T. Parker, Bin Ran, David A. Noyce, Xinyue Ye:
A Digital Twin Framework for Physical-Virtual Integration in V2X-Enabled Connected Vehicle Corridors. - Hao Liu, Zecheng Zhang, Wenjing Liao, Hayden Schaeffer:
Neural Scaling Laws of Deep ReLU and Deep Operator Network: A Theoretical Study. - James Bockman, Matthew Howe, Adrian Orenstein, Feras Dayoub:
AARK: An Open Toolkit for Autonomous Racing Research. - Xiao Peng, Xufan Geng:
Self-controller: Controlling LLMs with Multi-round Step-by-step Self-awareness. - Muyao Peng, Pei An, Zichen Wan, You Yang, Qiong Liu:
TFCT-I2P: Three stream fusion network with color aware transformer for image-to-point cloud registration. - Hongbo Wang, Mingda Li, Junyu Lu, Hebin Xia, Liang Yang, Bo Xu, Ruizhu Liu, Hongfei Lin:
PclGPT: A Large Language Model for Patronizing and Condescending Language Detection. - Zhidong Gao, Yu Zhang, Zhenxiao Zhang, Yanmin Gong, Yuanxiong Guo:
FedPT: Federated Proxy-Tuning of Large Language Models on Resource-Constrained Edge Devices. - Shitian Zhao, Renrui Zhang, Xu Luo, Yan Wang, Shanghang Zhang, Peng Gao:
Unleashing the Potentials of Likelihood Composition for Multi-modal Language Models. - Yuqi Zhang, Adam Perer, Will Epperson:
Guided Statistical Workflows with Interactive Explanations and Assumption Checking. - Prasenjit Maji, Amit Kumar Mondal, Hemanta Kumar Mondal, Saraju P. Mohanty:
Easydiagnos: a framework for accurate feature selection for automatic diagnosis in smart healthcare. - Riadul Islam, Sri Ranga Sai Krishna Tummala, Joey Mulé, Rohith Kankipati, Suraj Jalapally, Dhandeep Challagundla, Chad Howard, Ryan Robucci:
Descriptor: Face Detection Dataset for Programmable Threshold-Based Sparse-Vision. - Jiafei Duan, Wilbert Pumacay, Nishanth Kumar, Yi Ru Wang, Shulin Tian, Wentao Yuan, Ranjay Krishna, Dieter Fox, Ajay Mandlekar, Yijie Guo:
AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation. - Hongjun Wang, Jiyuan Chen, Tong Pan, Zheng Dong, Lingyu Zhang, Renhe Jiang, Xuan Song:
Robust Traffic Forecasting against Spatial Shift over Years. - Hanyu Yang, Shiqi Gong, Heng Liu, Chengwen Xing, Nan Zhao, Dusit Niyato:
Frequency Diverse Array-enabled RIS-aided Integrated Sensing and Communication. - Xiao Wang, Fuling Wang, Yuehang Li, Qingchuan Ma, Shiao Wang, Bo Jiang, Chuanfu Li, Jin Tang:
CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset. - Zaid Ilyas, Naveed Akhtar, David Suter, Syed Zulqarnain Gilani:
GLMHA A Guided Low-rank Multi-Head Self-Attention for Efficient Image Restoration and Spectral Reconstruction. - Yuhao Liu, James Doss-Gollin, Guha Balakrishnan, Ashok Veeraraghavan:
Generative Precipitation Downscaling using Score-based Diffusion with Wasserstein Regularization. - Shota Takashiro, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo:
Answer When Needed, Forget When Not: Language Models Pretend to Forget via In-Context Knowledge Unlearning. - Hongjun Wang, Jiyuan Chen, Tong Pan, Zheng Dong, Lingyu Zhang, Renhe Jiang, Xuan Song:
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting. - Hongchao Shu, Mingxu Liu, Lalithkumar Seenivasan, Suxi Gu, Ping-Cheng Ku, Jonathan Knopf, Russell H. Taylor, Mathias Unberath:
Seamless Augmented Reality Integration in Arthroscopy: A Pipeline for Articular Reconstruction and Guidance. - Bhargav Shandilya, Alexis Palmer:
Boosting the Capabilities of Compact Models in Low-Data Contexts with Large Language Models and Retrieval-Augmented Generation. - Daniel Choi, Angus Fung, Haitong Wang, Aaron Hao Tan:
Find Everything: A General Vision Language Model Approach to Multi-Object Search. - Yongyang Tang, Zhe Chen, Ang Li, Tianyue Zheng, Zheng Lin, Jia Xu, Pin Lv, Zhe Sun, Yue Gao:
MERIT: Multimodal Wearable Vital Sign Waveform Monitoring. - Mengyuan Chen, Junyu Gao, Changsheng Xu:
Revisiting Essential and Nonessential Settings of Evidential Deep Learning. - Wei Dai, Diya Kafle, Brian Miller:
Analyzing School Shootings in the US with Statistical Learning. - Dawit Zeleke Admassu:
Performance Improvement of IaaS Type of Cloud Computing Using Virtualization Technique. - Zhi Xu, Shaozhe Hao, Kai Han:
CusConcept: Customized Visual Concept Decomposition with Diffusion Models. - Jenny Ma, Karthik Sreedhar, Vivian Liu, Sitong Wang, Pedro Alejandro Perez, Riya Sahni, Lydia B. Chilton:
DynEx: Dynamic Code Synthesis with Structured Design Exploration for Accelerated Exploratory Programming. - Mazen Balat, Mahmoud Essam Gabr, Hend Bakr, Ahmed B. Zaky:
TikGuard: A Deep Learning Transformer-Based Solution for Detecting Unsuitable TikTok Content for Kids. - Yooseok Lim, Sujee Lee:
Intelligent Repetition Counting for Unseen Exercises: A Few-Shot Learning Approach with Sensor Signals. - Mahamudul Hasan:
ECORS: An Ensembled Clustering Approach to Eradicate The Local And Global Outlier In Collaborative Filtering Recommender System. - Yang Han, Yiming Wang, Rui Wang, Lu Chen, Kai Yu:
AlignSum: Data Pyramid Hierarchical Fine-tuning for Aligning with Human Summarization Preference. - Yu Zhang, Zhao Kang:
TPN: Transferable Proto-Learning Network towards Few-shot Document-Level Relation Extraction. - Daehwan Nam, Gary Geunbae Lee:
Semantic Parsing with Candidate Expressions for Knowledge Base Question Answering. - Sai Ganga, Ziya Uddin:
Exploring Physics-Informed Neural Networks: From Fundamentals to Applications in Complex Systems. - Dongjie Yang, Hai Zhao:
Are LLMs Aware that Some Questions are not Open-ended? - Stone Tao, Fanbo Xiang, Arth Shukla, Yuzhe Qin, Xander Hinrichsen, Xiaodi Yuan, Chen Bao, Xinsong Lin, Yulin Liu, Tse-kai Chan, Yuan Gao, Xuanlin Li, Tongzhou Mu, Nan Xiao, Arnav Gurha, Zhiao Huang, Roberto Calandra, Rui Chen, Shan Luo, Hao Su:
ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI. - Phillip Schneider, Florian Matthes:
Conversational Exploratory Search of Scholarly Publications Using Knowledge Graphs. - Yi Xiong, Hao Wu, Changxu Shao, Ziqing Wang, Rui Zhang, Yuhong Guo, Junping Zhao, Ke Zhang, Zhenxuan Pan:
LayerKV: Optimizing Large Language Model Serving with Layer-wise KV Cache Management. - Chanhui Lee, Dae-Woong Jeong, Sung Moon Ko, Sumin Lee, Hyunseung Kim, Soorin Yim, Sehui Han, Sungwoong Kim, Sungbin Lim:
Scalable Multi-Task Transfer Learning for Molecular Property Prediction. - Yang Li, Wenhan Yu, Jun Zhao:
PrivTuner with Homomorphic Encryption and LoRA: A P3EFT Scheme for Privacy-Preserving Parameter-Efficient Fine-Tuning of AI Foundation Models. - Robert Ranisch, Joschka Haltaufderheide:
Deceptive Risks in LLM-enhanced Robots. - Lexiang Hu, Yisen Wang, Zhouchen Lin:
EKAN: Equivariant Kolmogorov-Arnold Networks. - Miyu Goko, Motonari Kambara, Daichi Saito, Seitaro Otsuki, Komei Sugiura:
Task Success Prediction for Open-Vocabulary Manipulation Based on Multi-Level Aligned Representations. - Weizhu Bao, Yifei Li, Quan Zhao:
A structure-preserving parametric finite element method for solid-state dewetting on curved substrates. - Luyang Luo, Jenanan Vairavamurthy, Xiaoman Zhang, Abhinav Kumar, Ramon R. Ter-Oganesyan, Stuart T. Schroff, Dan Shilo, Rydhwana Hossain, Mike Moritz, Pranav Rajpurkar:
ReXplain: Translating Radiology into Patient-Friendly Video Reports. - Yunnan Wang, Ziqiang Li, Zequn Zhang, Wenyao Zhang, Baao Xie, Xihui Liu, Wenjun Zeng, Xin Jin:
Scene Graph Disentanglement and Composition for Generalizable Complex Image Generation. - Hanqi Jiang, Xixuan Hao, Yuzhou Huang, Chong Ma, Jiaxun Zhang, Yi Pan, Ruimao Zhang:
Advancing Medical Radiograph Representation Learning: A Hybrid Pre-training Paradigm with Multilevel Semantic Granularity. - Shunpei Norihama, Shixian Geng, Kakeru Miyazaki, Arissa J. Sato, Mari Hirano, Simo Hosio, Koji Yatani:
Examining Input Modalities and Visual Feedback Designs in Mobile Expressive Writing. - Wei Zhao, Zhe Li, Yige Li, Jun Sun:
Adversarial Suffixes May Be Features Too! - Till Schlüter, Nils Ole Tippenhauer:
A Scheduling-Aware Defense Against Prefetching-Based Side-Channel Attacks. - Wenlan Zhang, Miguel Núñez-del-Prado, Vincent Gauthier, Sveta Milusheva:
The NetMob2024 Dataset: Population Density and OD Matrices from Four LMIC Countries. - Tai D. Nguyen, Long H. Pham, Jun Sun:
UniAdapt: A Universal Adapter for Knowledge Calibration. - Jin Zhang, Jincheng Zhou, Xiang Zhang, Di Ma, Chunye Gong:
Fine-Grained Vectorized Merge Sorting on RISC-V: From Register to Cache. - Aashi Shrinate, Twinkle Tripathy:
Absolute centrality in a signed Friedkin-Johnsen based model: a graphical characterisation of influence. - Siyi He:
Enhancing Solution Efficiency in Reinforcement Learning: Leveraging Sub-GFlowNet and Entropy Integration. - Yuanwen Zhang, Jingfeng Xiong, Haolan Xian, Chuheng Chen, Xinxing Chen, Chenglong Fu, Yuquan Leng:
Fast Hip Joint Moment Estimation with A General Moment Feature Generation Method. - Bohong Chen, Yumeng Li, Yao-Xiang Ding, Tianjia Shao, Kun Zhou:
Enabling Synergistic Full-Body Control in Prompt-Based Co-Speech Motion Generation. - Léo Henry, Thierry Jéron, Nicolas Markey, Victor Roussanaly:
Distributed Monitoring of Timed Properties. - Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen, Xinbei Ma, Muyun Yang, Tiejun Zhao, Min Zhang:
Dynamic Planning for LLM-based Graphical User Interface Automation. - Ivica Dimitrovski, Vlatko Spasev, Ivan Kitanovski:
Deep Multimodal Fusion for Semantic Segmentation of Remote Sensing Earth Observation Data. - Trung Hau Hoang:
Order Reduction of Exponential Runge-Kutta Methods: Non-Commuting Operators. - Hiroaki Chiba-Okabe:
Probabilistic Analysis of Copyright Disputes and Generative AI Safety. - Pranav Gupta, Advith Krishnan, Naman Nanda, Ananth Eswar, Deeksha Agarwal, Pratham Gohil, Pratyush Goel:
ViDAS: Vision-based Danger Assessment and Scoring. - Krzysztof Zielinski, Bruce Blumberg, Mikkel Baun Kjærgaard:
Precise Workcell Sketching from Point Clouds Using an AR Toolbox. - Rami Skaik, Leonardo Rossi, Tomaso Fontanini, Andrea Prati:
MCGM: Mask Conditional Text-to-Image Generative Model. - Krzysztof Zielinski, Ryan Penning, Bruce Blumberg, Christian Schlette, Mikkel Baun Kjærgaard:
RobotGraffiti: An AR tool for semi-automated construction of workcell models to optimize robot deployment. - Niki Maria Foteinopoulou, Enjie Ghorbel, Djamila Aouada:
A Hitchhikers Guide to Fine-Grained Face Forgery Detection Using Common Sense Reasoning. - Dapeng Feng, Zhiqiang Chen, Yizhen Yin, Shipeng Zhong, Yuhua Qi, Hongbo Chen:
CaRtGS: Computational Alignment for Real-Time Gaussian Splatting SLAM. - Yu Wang, Xinshuang Liu, Xiusi Chen, Sean O'Brien, Junda Wu, Julian J. McAuley:
Self-Updatable Large Language Models with Parameter Integration. - Cong Wang, Aoming Liang, Fei Han, Xinyu Zeng, Zhibin Li, Dixia Fan, Jens Kober:
Learning Adaptive Hydrodynamic Models Using Neural ODEs in Complex Conditions. - Alessia Andò, Rossana Vermiglio:
Exponential Runge-Kutta methods for delay equations in the sun-star abstract framework. - Max Heinz Herkersdorf, Tarek Kösters, Oliver Nelles:
Optimized Excitation Signal Tailored to Pertinent Dynamic Process Characteristics. - Diogo Pernes, Gonçalo M. Correia, Afonso Mendes:
Multi-Target Cross-Lingual Summarization: a novel task and a language-neutral approach. - Yida Lin, Bing Xue, Mengjie Zhang, Sam Schofield, Richard Green:
Drone Stereo Vision for Radiata Pine Branch Detection and Distance Measurement: Utilizing Deep Learning and YOLO Integration. - Max Heinz Herkersdorf, Oliver Nelles:
Optimized Excitation Signal Design Employing Receding Horizon Control. - Araceli Zapatero-Gutiérrez, Eduardo Castillo Castañeda, Med Amine Laribi:
A five-bar mechanism to assist finger flexion-extension movement: system implementation. - Mingye Zhu, Yi Liu, Quan Wang, Junbo Guo, Zhendong Mao:
FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization. - Michael Vollenweider, Manuel Schürch, Chiara Rohrer, Gabriele Gut, Michael Krauthammer, Andreas Wicki:
Learning Personalized Treatment Decisions in Precision Medicine: Disentangling Treatment Assignment Bias in Counterfactual Outcome Prediction and Biomarker Identification. - Mushir Akhtar, Ritik Mishra, M. Tanveer, Mohd. Arshad:
Advancing RVFL networks: Robust classification with the HawkEye loss function. - Deokhyung Kang, Seonjeong Hwang, Yunsu Kim, Gary Geunbae Lee:
Cross-lingual Back-Parsing: Utterance Synthesis from Meaning Representation for Zero-Resource Semantic Parsing. - Óscar Gil, Alberto Sanfeliu:
Human-Robot Collaborative Minimum Time Search through Sub-priors in Ant Colony Optimization. - Henning Cui, Andreas Margraf, Jörg Hähner:
Analysing the Influence of Reorder Strategies for Cartesian Genetic Programming. - Eitan Wagner, Amir Feder, Omri Abend:
Exploring the Learning Capabilities of Language Models using LEVERWORLDS. - Taewook Park, Seunghwan Kim, Hyondong Oh:
Design and Identification of Keypoint Patches in Unstructured Environments. - Arthur Amalvy, Vincent Labatut:
Annotation Guidelines for Corpus Novelties: Part 2 - Alias Resolution Version 1.0. - Bernd Ulmann, Shrish Roy:
Building a simple oscillator based Ising machine for research and education. - Hamed Behzadi-Khormouji, José Oramas:
Deep Model Interpretation with Limited Data : A Coreset-based Approach. - Tony Lelièvre, Régis Santet, Gabriel Stoltz:
Improving sampling by modifying the effective diffusion. - Shiwei Wu, Chen Zhang, Yan Gao, Qimeng Wang, Tong Xu, Yao Hu, Enhong Chen:
Benchmarking Large Language Models for Conversational Question Answering in Multi-instructional Documents. - Pierre Letouzey, Shuo Li, Wolfgang Steiner:
Pointwise order of generalized Hofstadter functions G, H and beyond. - Zonghang Li, Wenjiao Feng, Mohsen Guizani, Hongfang Yu:
TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices. - Francisco Nunes Ferreira Quialheiro Simoes, Mehdi Dastani, Thijs van Ommen:
Optimal Causal Representations and the Causal Information Bottleneck. - Franco Barbanera, Mariangiola Dezani-Ciancaglini, Ugo de'Liguoro:
Partial Typing for Asynchronous Multiparty Sessions. 1-20 - Clemens Grabmayer:
From Compactifying Lambda-Letrec Terms to Recognizing Regular-Expression Processes. 21-41 - Hsi-Ming Ho, Khushraj Madnani:
When Do You Start Counting? Revisiting Counting and Pnueli Modalities in Timed Logics. 73-89 - Shinya Sato:
Conditional Nested Pattern Matching in Interaction Net. 90-106 - Federico Vastarini, Detlef Plump:
Random Graph Generation in Context-Free Graph Languages. 107-120 - Kristian Schwethelm, Johannes Kaiser, Jonas Kuntzer, Mehmet Yigitsoy, Daniel Rueckert, Georgios Kaissis:
Differentially Private Active Learning: Balancing Effective Data Selection and Privacy. - Victor Sabanza Gil, Riccardo Barbano, Daniel Pacheco Gutiérrez, Jeremy S. Luterbacher, José Miguel Hernández-Lobato, Philippe Schwaller, Loïc Roch:
Best Practices for Multi-Fidelity Bayesian Optimization in Materials and Molecular Research. - Beatrice Savoldi, Sara Papi, Matteo Negri, Ana Guerberof, Luisa Bentivogli:
What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study. - Elias Rojas Collins, Chris Köcher, Georg Zetzsche:
The complexity of separability for semilinear sets and Parikh automata. - Alberto Presta, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto:
STanH : Parametric Quantization for Variable Rate Learned Image Compression. - Ziyang Luo, Xin Li, Hongzhan Lin, Jing Ma, Lidong Bing:
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation. - Jie Cheng, Ruixi Qiao, Gang Xiong, Qinghai Miao, Yingwei Ma, Binhua Li, Yongbin Li, Yisheng Lv:
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining. - Petr Kolman:
A Note on Approximation of Spanning Tree Congestion. - Carmen Scheidemann, Lennart Werner, Victor Reijgwart, Andrei Cramariuc, Joris Chomarat, Jia-Ruei Chiu, Roland Siegwart, Marco Hutter:
Obstacle-Avoidant Leader Following with a Quadruped Robot. - Daniel Ratiu, Tihomir Rohlinger, Torben Stolte, Stefan Wagner:
Towards an Argument Pattern for the Use of Safety Performance Indicators. - Aurora Micheli, Olaf Booij, Jan van Gemert, Nergis Tömen:
Deep activity propagation via weight initialization in spiking neural networks. - Pengxi Zeng, Alberto Presta, Jonah Reinis, Dinesh Bharadia, Hang Qiu, Pamela C. Cosman:
Can We Remove the Ground? Obstacle-aware Point Cloud Compression for Remote Object Detection. - Kaiwen Yang, Hao Xu, Yunqing Sun, Jiacheng Qian, Zihan Zhou, Xiaoshuai Zhang, Erwu Liu, Lei Zhang, Chih-Lin I:
A Mathematical Theory of Hyper-simplex Fractal Network for Blockchain: Part I. - Shailendra K. Rathor, Martin Ziegler, Jörg Schumacher:
Asymmetrically connected reservoir networks learn better. - Geng Li, Haozhi Cao, Mingyang Liu, Shenghai Yuan, Jianfei Yang:
GERA: Geometric Embedding for Efficient Point Registration Analysis. - Wen Lai, Viktor Hangya, Alexander Fraser:
Style-Specific Neurons for Steering LLMs in Text Style Transfer. - Amir Omeradzic, Hans-Georg Beyer:
On the Interaction of Adaptive Population Control with Cumulative Step-Size Adaptation. - Lien Bosmans, Jari Peeperkorn, Alexandre Goossens, Giovanni Lugaresi, Johannes De Smedt, Jochen De Weerdt:
Dynamic and Scalable Data Preparation for Object-Centric Process Mining. - Lena Carta, Lukas Drexler, Annika Hennes, Clemens Rösner, Melanie Schmidt:
FPT Approximations for Fair k-Min-Sum-Radii. - Ashwin Prasad Shivarpatna Venkatesh, Rose Sunil, Samkutty Sabu, Amir M. Mir, Sofia Reis, Eric Bodden:
An Empirical Study of Large Language Models for Type and Call Graph Analysis. - Atoosa Kasirzadeh:
Measurement challenges in AI catastrophic risk governance and safety frameworks. - León-Paul Schaub Torre, Pelayo Quirós, Helena García Mieres:
Detección Automática de Patologías en Notas Clínicas en Español Combinando Modelos de Lenguaje y Ontologías Médicos. - Arvin Delavari, Faraz Ghoreishy, Hadi Shahriar Shahhoseini, Sattar Mirzakuchaki:
A Reconfigurable Approximate Computing RISC-V Platform for Fault-Tolerant Applications. - Mario Ccallo, Alex Quispe-Quispe:
Adoption and Adaptation of CI/CD Practices in Very Small Software Development Entities: A Systematic Literature Review. - Shunyi Zhao, Zehuan Yu, Zuxin Fan, Zhihao Zhou, Lecheng Ruan, Qining Wang:
An Illumination-Robust Feature Extractor Augmented by Relightable 3D Reconstruction. - Marcel C. Bühler, Gengyan Li, Erroll Wood, Leonhard Helminger, Xu Chen, Tanmay Shah, Daoye Wang, Stephan J. Garbin, Sergio Orts-Escolano, Otmar Hilliges, Dmitry Lagun, Jérémy Riviere, Paulo F. U. Gotardo, Thabo Beeler, Abhimitra Meka, Kripasindhu Sarkar:
Cafca: High-quality Novel View Synthesis of Expressive Faces from Casual Few-shot Captures. - Patrick Joly, Maryna Kachanovska, Zoïs Moitier:
High-order numerical integration on self-affine sets. - June Gorostidi, Adem Ait, Jordi Cabot, Javier Luis Cánovas Izquierdo:
On the Creation of Representative Samples of Software Repositories. - Dorde Nedeljkovic:
Cross-Camera Data Association via GNN for Supervised Graph Clustering. - Francesco Quaglia:
PARSIR: a Package for Effective Parallel Discrete Event Simulation on Multi-processor Machines. - Liangzu Peng, Juan Elenter, Joshua Agterberg, Alejandro Ribeiro, René Vidal:
ICL-TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models. - Saswati Bhattacharjee, Anirban Sinha, Chinwe Ekenna:
LASMP: Language Aided Subset Sampling Based Motion Planner. - Matteo Paltenghi, Michael Pradel:
A Survey on Testing and Analysis of Quantum Software. - Roan Schellingerhout:
Explainable Multi-Stakeholder Job Recommender Systems. - Maria Khodorchenko, Nikolay Butakov, Maxim Zuev, Denis A. Nasonov:
AutoTM 2.0: Automatic Topic Modeling Framework for Documents Analysis. - Pradip Pramanick, Silvia Rossi:
Multimodal Coherent Explanation Generation of Robot Failures. - Max Wasserman, Gonzalo Mateos:
Stabilizing the Kumaraswamy Distribution. - Maisha Boteju, Thilina Ranbaduge, Dinusha Vatsalan, Nalin A. G. Arachchilage:
Integrating PETs into Software Applications: A Game-Based Learning Approach. - Simon Jacobsson, Lars Swijsen, Joeri Van der Veken, Nick Vannieuwenhoven:
Warped geometries of Segre-Veronese manifolds. - Xinhao Yang, Guangyu Zhang, Xiaodong Lu, Yuan Zhang, Jian Kang:
Contribution of soundscape appropriateness to soundscape quality assessment in space: a mediating variable affecting acoustic comfort. - Taija Kolehmainen, Reetta Ghezzi, Sami Hyrynsalmi, Tommi Mikkonen, Samuli Pekkola, Manu Setälä:
Unifying a Public Software Ecosystem: How Omaolo Responded to the COVID-19 Challenge. - Youngho Yoon, Hyun-Kurl Jang, Kuk-Jin Yoon:
GMT: Enhancing Generalizable Neural Rendering via Geometry-Driven Multi-Reference Texture Transfer. - Kangfeng Ye, Roberto Metere, Poonam Yadav:
User-Guided Verification of Security Protocols via Sound Animation. - Cory D. Hauck, M. Paul Laiu, Stefan Schnake:
On high-order/low-order and micro-macro methods for implicit time-stepping of the BGK model. - Mazen Balat, Rewaa Awaad, Hend Adel, Ahmed B. Zaky, Salah A. Aly:
Advanced Arabic Alphabet Sign Language Recognition Using Transfer Learning and Transformer Models. - Jiyoon Myung, Jihyeon Park, Jungki Son, Kyungro Lee, Joohyung Han:
Efficient Technical Term Translation: A Knowledge Distillation Approach for Parenthetical Terminology Translation. - Yongli Hou, Yi Liu, Tengjin Zhao:
High-order primal mixed finite element method for boundary-value correction on curved domain. - William Bergeron, Matthew Hubbell, Daniel Mojica, Albert Reuther, William Arcand, David Bestor, Daniel Burrill, Chansup Byun, Vijay Gadepally, Michael Houle, Hayden Jananthan, Michael Jones, Piotr Luszczek, Peter Michaleas, Lauren Milechin, Julie Mullen Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner:
Supercomputer 3D Digital Twin for User Focused Real-Time Monitoring. - Ruhana Azam, Tamer Abuelsaad, Aditya Vempaty, Ashish Jagmohan:
Multimodal Auto Validation For Self-Refinement in Web Agents. - Quan Nguyen, Nishant A. Mehta, Cristóbal Guzmán:
Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity. - Yuan-Yao Lou, Jonathan C. Spencer, Kwang Taik Kim, Mung Chiang:
E-MPC: Edge-assisted Model Predictive Control. - Mari Paz Calvo, Jesús María Sanz-Serna, Beibei Zhu:
Stroboscopic averaging methods to study autoresonance and other problems with slowly varying forcing frequencies. - Ruoxi Chong, Shuangyang Li, Zhiqiang Wei, Michail Matthaiou, Derrick Wing Kwan Ng, Giuseppe Caire:
Analysis of Cross-Domain Message Passing for OTFS Transmissions. - Jing Luo, Huiyuan Wang, Weiran Huang:
Investigating the Impact of Model Complexity in Large Language Models. - Saurav Jha, Shiqi Yang, Masato Ishii, Mengjie Zhao, Christian Simon, Muhammad Jehanzeb Mirza, Dong Gong, Lina Yao, Shusuke Takahashi, Yuki Mitsufuji:
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models. - Raktim Gautam Goswami, Naman Patel, Prashanth Krishnamurthy, Farshad Khorrami:
FlashMix: Fast Map-Free LiDAR Localization via Feature Mixing and Contrastive-Constrained Accelerated Training. - Zhexuan Zeng, Jun Zhou, Yasen Wang, Zuowei Ping:
Koopman Spectral Analysis from Noisy Measurements based on Bayesian Learning and Kalman Smoothing. - Vihang Patil, Markus Hofmarcher, Elisabeth Rumetshofer, Sepp Hochreiter:
Contrastive Abstraction for Reinforcement Learning. - Xingdou Fu, Lin Miao, Yasuhiro Ohnishi, Yuki Hasegawa, Masaki Suwa:
A Low-Cost, High-Speed, and Robust Bin Picking System for Factory Automation Enabled by a Non-Stop, Multi-View, and Active Vision Scheme. - Álvaro Heredia-Lidón, Luis Miguel Echeverry-Quiceno, Alejandro González, Noemí Hostalet, Edith Pomarol-Clotet, Juan Fortea, Mar Fatjó-Vilas, Neus Martínez-Abadías, Xavier Sevillano:
BioFace3D: A fully automatic pipeline for facial biomarkers extraction of 3D face reconstructions segmented from MRI. - Kaichen Zhou, Yang Cao, Taewhan Kim, Hao Zhao, Hao Dong, Kai Ming Ting, Ye Zhu:
RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observations. - Pingbang Hu, Mahito Sugiyama:
Pseudo-Non-Linear Data Augmentation via Energy Minimization. - Vahid Shahverdi, Giovanni Luca Marchetti, Kathlén Kohn:
On the Geometry and Optimization of Polynomial Convolutional Networks. - Meiby Ortiz-Bouza, Selin Aviyente:
Discriminative community detection for multiplex networks. - Robert Mahari, Sandro Claudio Lera:
Early Career Citations Capture Judicial Idiosyncrasies and Predict Judgments. - Till Hofmann, Jens Claßen:
LTLf Synthesis on First-Order Action Theories. - Beatriz Feliciano, Rita Costa, Jean V. Alves, Javier Liébana, Diogo Duarte, Pedro Bizarro:
"Show Me What's Wrong!": Combining Charts and Text to Guide Data Analysis. - Vihang Patil, Andreas Radler, Daniel Klotz, Sepp Hochreiter:
Simplified priors for Object-Centric Learning. - Lakshmi Nair:
Improved Generation of Synthetic Imaging Data Using Feature-Aligned Diffusion. - Marco Job, Thomas Stastny, Tim Kazik, Roland Siegwart, Michael Pantic:
Radar Meets Vision: Robustifying Monocular Metric Depth Prediction for Mobile Robotics. - Paula Carolina Lozano Duarte, Florentia Afentaki, Georgios Zervakis, Mehdi B. Tahoori:
Design and In-training Optimization of Binary Search ADC for Flexible Classifiers. - Jiapeng Wang, Chengyu Wang, Kunzhe Huang, Jun Huang, Lianwen Jin:
VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models. - Ramón María García Alarcia, Alessandro Golkar:
Optimizing Token Usage on Large Language Model Conversations Using the Design Structure Matrix. - Stephen Meisenbacher, Florian Matthes:
Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting. - Kush Jain, Gabriel Synnaeve, Baptiste Rozière:
TestGenEval: A Real World Unit Test Generation and Test Completion Benchmark. - Rui Tang, Shirong Guo, Yuhang Qiu, Honghui Chen, Lujin Huang, Ming Yong, Linfu Zhou, Liquan Guo:
Optimizing Drug Delivery in Smart Pharmacies: A Novel Framework of Multi-Stage Grasping Network Combined with Adaptive Robotics Mechanism. - Siddharth Singh, Tian Xu, Qing Chang:
Collaborative motion planning for multi-manipulator systems through Reinforcement Learning and Dynamic Movement Primitives. - William Dubois, Nicolas Samson, Effie Daum, Johann Laconte, François Pomerleau:
Under Pressure: Altimeter-Aided ICP for 3D Maps Consistency. - Tommaso Ferracci, Leonie Tabea Goldmann, Anton Hinel, Francesco Sanna Passino:
Targeted synthetic data generation for tabular data via hardness characterization. - Trung Dang, David Aponte, Dung N. Tran, Tianyi Chen, Kazuhito Koishida:
Zero-Shot Text-to-Speech from Continuous Text Streams. - Robert Krajewski, Huijo Kim:
DeepAerialMapper: Deep Learning-based Semi-automatic HD Map Creation for Highly Automated Vehicles. - Chen Cai, Zheng Wang, Jianjun Gao, Wenyang Liu, Ye Lu, Runzhong Zhang, Kim-Hui Yap:
Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting. - Wenwen Qiang, Zeen Song, Ziyin Gu, Jiangmeng Li, Changwen Zheng, Fuchun Sun, Hui Xiong:
On the Generalization and Causal Explanation in Self-Supervised Learning. - Xuwu Wang, Qiwen Cui, Yunzhe Tao, Yiran Wang, Ziwei Chai, Xiaotian Han, Boyi Liu, Jianbo Yuan, Jing Su, Guoyin Wang, Tingkai Liu, Liyu Chen, Tianyi Liu, Tao Sun, Yufeng Zhang, Sirui Zheng, Quanzeng You, Yang Yang, Hongxia Yang:
BabelBench: An Omni Benchmark for Code-Driven Analysis of Multimodal and Multistructured Data. - Hyogo Hiruma, Hiroshi Ito, Tetusya Ogata:
Adaptive Motion Generation Using Uncertainty-Driven Foresight Prediction. - Paloma Piot, Javier Parapar:
Decoding Hate: Exploring Language Models' Reactions to Hate Speech. - Victoria Vziatysheva, Mykola Makhortykh, Maryna Sydorova, Vihang Jumle:
Google, How Should I Vote? How Users Formulate Search Queries to Find Political Information on Search Engines. - Mostafa Hajighasemloua, Samad Sheikhaei, Hamid Soltanian-Zadeh:
Local-to-Global Self-Supervised Representation Learning for Diabetic Retinopathy Grading. - Antoine Houssard, Floriana Gargiulo, Gabriele Di Bona, Tommaso Venturini, Paola Tubaro:
The Risks of Scientific Gerontocracy. - Joonas Ahola, Iván Blanco-Chacón, Wilmar Bolaños, Antti Haavikko, Camilla Hollanti, Rodrigo Martín Sánchez-Ledesma:
Fast Multiplication and the PLWE-RLWE Equivalence for an Infinite Family of Cyclotomic Subextensions. - Nicolas Christianson, Wenqi Cui, Steven H. Low, Weiwei Yang, Baosen Zhang:
Fast and Reliable N-k Contingency Screening with Input-Convex Neural Networks. - Gabin Schieffer, Ruimin Shi, Stefano Markidis, Andreas Herten, Jennifer Faj, Ivy Peng:
Understanding Data Movement in AMD Multi-GPU Systems with Infinity Fabric. - Gabriele Spadaro, Marco Grangetto, Attilio Fiandrotti, Enzo Tartaglione, Jhony H. Giraldo:
WiGNet: Windowed Vision Graph Neural Network. - Yun Liu, Xuechen Liu, Junichi Yamagishi:
Improving curriculum learning for target speaker extraction with synthetic speakers. - Richard J. Antonello, Chandan Singh, Shailee Jain, Aliyah R. Hsu, Jianfeng Gao, Bin Yu, Alexander Huth:
A generative framework to bridge data-driven models and scientific theories in language neuroscience. - Dietmar Saupe, Krzysztof Rusek, David Hägele, Daniel Weiskopf, Lucjan Janowski:
Maximum entropy and quantized metric models for absolute category ratings. - Jiliang Hu, Zuchao Li, Ping Wang, Haojun Ai, Lefei Zhang, Hai Zhao:
VHASR: A Multimodal Speech Recognition System With Vision Hotwords. - Rinor Cakaj, Jens Mehnert, Bin Yang:
Squeeze-and-Remember Block. - Tristan Laan, Tiziano De Matteis:
Developing a BLAS library for the AMD AI Engine. - Gareth Hardwick, Senwei Liang, Haizhao Yang:
Solving High-Dimensional Partial Integral Differential Equations: The Finite Expression Method. - Manh Khoi Duong, Stefan Conrad:
Towards Fairness and Privacy: A Novel Data Pre-processing Optimization Framework for Non-binary Protected Attributes. - Nathaniel Harms, Artur Riazanov:
Better Boosting of Communication Oracles, or Not. - Abhinav Kumar, Thomas Power, Fan Yang, Sergio Aguilera Marinovic, Soshi Iba, Rana Soltani-Zarrin, Dmitry Berenson:
Diffusion-Informed Probabilistic Contact Search for Multi-Finger Manipulation. - Zhenyi Zhang, Tiejun Li, Peijie Zhou:
Learning Stochastic Dynamics from Snapshots through Regularized Unbalanced Optimal Transport. - Qiyu Liu, Siyuan Han, Yanlin Qi, Jingshu Peng, Jin Li, Longlong Lin, Lei Chen:
Why Are Learned Indexes So Effective but Sometimes Ineffective? - Xingzhou Lou, Dong Yan, Wei Shen, Yuzi Yan, Jian Xie, Junge Zhang:
Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown. - Prajit T. Rajendran, Samira Afzal, Vignesh V. Menon, Christian Timmerer:
Energy-Quality-aware Variable Framerate Pareto-Front for Adaptive Video Streaming. - Reshmi Ghosh, Rahul Seetharaman, Hitesh Wadhwa, Somyaa Aggarwal, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh:
Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis. - Daniel Pfrommer, Swati Padmanabhan, Kwangjun Ahn, Jack Umenberger, Tobia Marcucci, Zakaria Mhammedi, Ali Jadbabaie:
Improved Sample Complexity of Imitation Learning for Barrier Model Predictive Control. - Noah Kader, Inwon Kang, Oshani Seneviratne:
Enhancing Web Spam Detection through a Blockchain-Enabled Crowdsourcing Mechanism. - Stefano Calzavara, Lorenzo Cazzaro, Massimo Vettori:
Timber! Poisoning Decision Trees. - Eleftheria Briakou, Zhongtao Liu, Colin Cherry, Markus Freitag:
On the Implications of Verbose LLM Outputs: A Case Study in Translation Evaluation. - Hana Habib, Sara Elsharawy, Rifat Rahman:
"I don't trust them": Exploring Perceptions of Fact-checking Entities for Flagging Online Misinformation. - Bo Liu, Mao Ye, Peter Stone, Qiang Liu:
Fine-Grained Gradient Restriction: A Simple Approach for Mitigating Catastrophic Forgetting. - Yunze Liu, Li Yi:
MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining. - Megan Wei, Michael Freeman, Chris Donahue, Chen Sun:
Do Music Generation Models Encode Music Theory? - Zahra Ashktorab, Michael Desmond, Qian Pan, James M. Johnson, Martin Santillan Cooper, Elizabeth M. Daly, Rahul Nair, Tejaswini Pedapati, Swapnaja Achintalwar, Werner Geyer:
Aligning Human and LLM Judgments: Insights from EvalAssist on Task-Specific Evaluations and AI-assisted Assessment Strategy Preferences. - Amy Ancelotti, Claudia Liason:
Review of blockchain application with Graph Neural Networks, Graph Convolutional Networks and Convolutional Neural Networks. - Sharmishtha Dutta, Alex Gittens, Mohammed J. Zaki, Charu C. Aggarwal:
Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion. - Yixin Liu, Arielle Carr, Lichao Sun:
Empirical Perturbation Analysis of Linear System Solvers from a Data Poisoning Perspective. - Ti-Chung Cheng, Carmen Badea, Christian Bird, Thomas Zimmermann, Robert DeLine, Nicole Forsgren, Denae Ford:
GEMS: Generative Expert Metric System through Iterative Prompt Priming. - Andreas Göbel, Marcus Pappik:
Lazy brute-force sampling: A universal perfect sampling scheme from Markov chains. - Chao Zhang, Angela Bonifati, M. Tamer Özsu:
Low-Latency Sliding Window Connectivity. - Junlin Han, Jianyuan Wang, Andrea Vedaldi, Philip Torr, Filippos Kokkinos:
Flex3D: Feed-Forward 3D Generation With Flexible Reconstruction Model And Input View Curation. - Zahra Rostamikafaki, François Chan, Claude D'Amours:
Outage-Constrained Sum Secrecy Rate Maximization for STAR-RIS with Energy-Harvesting Eavesdroppers. - Baihan Lin:
The Gradient of Health Data Privacy. - Robin Gerster, Holger Caesar, Matthias Rapp, Alexander Wolpert, Michael Teutsch:
OSSA: Unsupervised One-Shot Style Adaptation. - Yuheng Li, Haotian Liu, Mu Cai, Yijun Li, Eli Shechtman, Zhe Lin, Yong Jae Lee, Krishna Kumar Singh:
Removing Distributional Discrepancies in Captions Improves Image-Text Alignment. - Kowe Kadoma, Danaë Metaxa, Mor Naaman:
Generative AI and Perceptual Harms: Who's Suspected of using LLMs? - Hongyin Luo, Wei Sun:
Addition is All You Need for Energy-efficient Language Models. - Da-Wei Zhou, Zi-Wen Cai, Han-Jia Ye, Lijun Zhang, De-Chuan Zhan:
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning. - Chen Huang, Guoxiu He:
Text Clustering as Classification with LLMs. - Min Xian, Tao Wang, Sai Zhang, Fei Xu, Zhegang Ma:
A Knowledge-Informed Large Language Model Framework for U.S. Nuclear Power Plant Shutdown Initiating Event Classification for Probabilistic Risk Assessment. - Subhadip Boral, Rikathi Pal, Ashish Ghosh:
ACEV: Unsupervised Intersecting Manifold Segmentation using Adaptation to Angular Change of Eigenvectors in Intrinsic Dimension. - Sheng Wang, Liheng Chen, Pengan Chen, Jingwei Dong, Boyang Xue, Jiyue Jiang, Lingpeng Kong, Chuan Wu:
MoS: Unleashing Parameter Efficiency of Low-Rank Adaptation with Mixture of Shards. - Uchenna Nzenwata, Daniel Ogbuigwe:
Automatic Speech Recognition for the Ika Language. - Akedjou Achraff Adjileye:
RisingBALLER: A player is a token, a match is a sentence, A path towards a foundational model for football players data analytics. - Sunbochen Tang, Themistoklis Sapsis, Navid Azizan:
Learning Chaotic Dynamics with Embedded Dissipativity. - Jacob Morrier, Amine Mahmassani, R. Michael Alvarez:
Uncovering the Viral Nature of Toxicity in Competitive Online Video Games. - Shuting Zhao, Chenkang Du, Kristin Qi, Xinrong Chen, Xinhan Di:
Towards Full-parameter and Parameter-efficient Self-learning For Endoscopic Camera Depth Estimation. - Panagiota Anastasopoulou, Jessica Torrey, Xavier Serra, Frederic Font:
Heterogeneous sound classification with the Broad Sound Taxonomy and Dataset. - Liang Shi, Boyu Jiang, Feng Guo:
ScVLM: a Vision-Language Model for Driving Safety Critical Event Understanding. - Can Chen, Christopher Beckham, Zixuan Liu, Xue (Steve) Liu, Christopher Pal:
Robust Guided Diffusion for Offline Black-Box Optimization. - Alessandro Lovo, Amaury Lancelin, Corentin Herbert, Freddy Bouchet:
Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves. - Kenan Tang, Peiyang Song, Yao Qin, Xifeng Yan:
Creative and Context-Aware Translation of East Asian Idioms with GPT-4. - Jian Yang, Xukun Wang, Wentao Wang, Guoming Li, Qihang Fang, Ruihong Yuan, Tianyang Wang, Zhaoxin Fan:
LaDTalk: Latent Denoising for Synthesizing Talking Head Videos with High Frequency Details. - Y. Jennifer Sun, Zhou Lu:
Tight Rates for Bandit Control Beyond Quadratics. - Yuxuan Hou, Jianrong Zhang, Hua Chen, Min Zhou, Faxin Yu, Hehe Fan, Yi Yang:
CktGen: Specification-Conditioned Analog Circuit Generation. - Karl Bringmann, Kasper Green Larsen, André Nusser, Eva Rotenberg, Yanheng Wang:
Approximating Klee's Measure Problem and a Lower Bound for Union Volume Estimation. - Chengfei Wu, Dan Goldwasser:
"Hiding in Plain Sight": Designing Synthetic Dialog Generation for Uncovering Socially Situated Norms. - Muhammad Hamza Sharif, Muzammal Naseer, Mohammad Yaqub, Min Xu, Mohsen Guizani:
Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation. - Suhas Kannam, Yuri Yang, Aarya Dharm, Kevin Lin:
Code Interviews: Design and Evaluation of a More Authentic Assessment for Introductory Programming Assignments. - Minxuan Duan, Yinlong Qian, Lingyi Zhao, Zihao Zhou, Zeeshan Rasheed, Rose Yu, Khurram Shafique:
Back to Bayesics: Uncovering Human Mobility Distributions and Anomalies with an Integrated Statistical and Neural Framework. - Lisa Egede, Leslie Coney, Brittany Johnson, Christina N. Harrington, Denae Ford:
"For Us By Us": Intentionally Designing Technology for Lived Black Experiences. - Mona Esmaeili, Morteza Rahimi, Hadise Pishdast, Dorsa Farahmandazad, Matin Khajavi, Hadi Jabbari Saray:
Machine Learning-Assisted Intrusion Detection for Enhancing Internet of Things Security. - Iván Blanco-Chacón, Raúl Durán Díaz, Rodrigo Martín Sánchez-Ledesma:
A Generalized Approach to Root-based Attacks against PLWE. - Mahya Mohammadi Kashani, Tobias John, Jeremy Coffelt, Einar Broch Johnsen, Andrzej Wasowski:
Risk-Averse Planning and Plan Assessment for Marine Robots. - Qingyang Li, Weimao Ke:
Investigating the Synergistic Effects of Dropout and Residual Connections on Language Model Training. - Xavier Juanola, Gloria Haro, Magdalena Fuentes:
A Critical Assessment of Visual Sound Source Localization Models Including Negative Audio. - Rüdiger Ehlers, Ayrat Khalimov:
A Naturally-Colored Translation from LTL to Parity and COCOA. - Jiwan Chung, Seungwon Lim, Jaehyun Jeon, Seungbeen Lee, Youngjae Yu:
Can visual language models resolve textual ambiguity with visual cues? Let visual puns tell you! - Timo Braun, Anders Kvellestad, Riccardo De Bin:
GPTreeO: An R package for continual regression with dividing local Gaussian processes. - Deborah Etsenake, Meiyappan Nagappan:
Understanding the Human-LLM Dynamic: A Literature Survey of LLM Use in Programming Tasks. - Michael R. Metel, Peng Lu, Boxing Chen, Mehdi Rezagholizadeh, Ivan Kobyzev:
Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity. - Prashanth Ravichandar, Lokesh Krishna, Nikhil Sobanbabu, Quan Nguyen:
Dynamic Bipedal Loco-manipulation using Oracle Guided Multi-mode Policies with Mode-transition Preference. - Rui-Yang Ju, Chun-Tse Chien, Enkaer Xieerke, Jen-Shiun Chiang:
FCE-YOLOv8: YOLOv8 with Feature Context Excitation Modules for Fracture Detection in Pediatric Wrist X-ray Images. - Aditya Saligrama, Cody Ho, Benjamin Tripp, Michael Abbott, Christos Kozyrakis:
Teaching Cloud Infrastructure and Scalable Application Deployment in an Undergraduate Computer Science Program. - Alexandre St-Aubin, Amin Abyaneh, Hsiu-Chin Lin:
Single-Shot Learning of Stable Dynamical Systems for Long-Horizon Manipulation Tasks. - Rana Shahout, Eran Malach, Chunwei Liu, Weifan Jiang, Minlan Yu, Michael Mitzenmacher:
Don't Stop Me Now: Embedding Based Scheduling for LLMs. - Marco Gaido, Sara Papi, Luisa Bentivogli, Alessio Brutti, Mauro Cettolo, Roberto Gretter, Marco Matassoni, Mohamed Nabih, Matteo Negri:
MOSEL: 950,000 Hours of Speech Data for Open-Source Speech Foundation Model Training on EU Languages. - Karan Mahesh, Tyler M. Paine, Max L. Greene, Nicholas Rober, Steven Lee, Sildomar T. Monteiro, Anuradha Annaswamy, Michael R. Benjamin, Jonathan P. How:
Safe Autonomy for Uncrewed Surface Vehicles Using Adaptive Control and Reachability Analysis. - Tomas Goldsack, Yang Wang, Chenghua Lin, Chung-Chi Chen:
From Facts to Insights: A Study on the Generation and Evaluation of Analytical Reports for Deciphering Earnings Calls. - Zehui Zhou:
On the simultaneous recovery of two coefficients in the Helmholtz equation for inverse scattering problems via neural networks. - Dongwei Jiang, Guoxuan Wang, Yining Lu, Andrew Wang, Jingyu Zhang, Chuyu Liu, Benjamin Van Durme, Daniel Khashabi:
RATIONALYST: Pre-training Process-Supervision for Improving Reasoning. - Lucas Souza e Silva, Ali Akgunduz, Luis Rodrigues:
A Unified Approach for Optimal Cruise Airspeed with Variable Cost Index for Fuel-powered and All-electric Aircraft. - Massimiliano Iaschi, Baxi Chong, Tianyu Wang, Jianfeng Lin, Juntao He, Daniel Soto, Zhaochen Xu, Daniel I. Goldman:
Addition of a peristaltic wave improves multi-legged locomotion performance on complex terrains. - Zhenyu Yang, Shuo Huang, Han Feng, Ding-Xuan Zhou:
Spherical Analysis of Learning Nonlinear Functionals. - Daniel Hathcock, Guy Kortsarz, R. Ravi:
The Telephone k-Multicast Problem. - Esteban Flores, Baxi Chong, Daniel Soto, Dan Tatulescu, Daniel I. Goldman:
Steering Elongate Multi-legged Robots By Modulating Body Undulation Waves. - Johannes Lachner, Federico Tessari, A. Michael West Jr., Moses C. Nah, Neville Hogan:
Divide et Impera: Learning impedance families for peg-in-hole assembly. - Erin McGowan, Ethan Brewer, Cláudio T. Silva:
ARPOV: Expanding Visualization of Object Detection in AR with Panoramic Mosaic Stitching. - Erik Teder, Baxi Chong, Juntao He, Tianyu Wang, Massimiliano Iaschi, Daniel Soto, Daniel I. Goldman:
Effective self-righting strategies for elongate multi-legged robots. - Steven Dahdah, James Richard Forbes:
Uncertainty Modelling and Robust Observer Synthesis using the Koopman Operator. - Jerry Yan, Chinmay Talegaonkar, Nicholas Antipa, Eric Terrill, Sophia T. Merrifield:
Pose Estimation of Buried Deep-Sea Objects using 3D Vision Deep Learning Models. - Weitong Zhang, Chengqi Zang, Bernhard Kainz:
Truth or Deceit? A Bayesian Decoding Game Enhances Consistency and Reliability. - Nacime Bouziani, Nicolas Boullé:
Structure-Preserving Operator Learning. - Ali Mohammadjafari, Anthony S. Maida, Raju Gottumukkala:
From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems. - Eli Chien, Pan Li:
Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness. - Kaige Qu, Zixiong Qin, Weihua Zhuang:
Meta Learning Based Adaptive Cooperative Perception in Nonstationary Vehicular Networks. - Jan Leusmann, Steeven Villa, Thomas Liang, Chao Wang, Albrecht Schmidt, Sven Mayer:
An Approach to Elicit Human-Understandable Robot Expressions to Support Human-Robot Interaction. - Alexandra M. Jurgens, Nicolas Brodu:
Inferring Kernel ε-Machines: Discovering Structure in Complex Systems. - Stephanie O. Herrera, Tae Myung Huh, Dejan Milutinovic:
Two-Finger Soft Gripper Force Modulation via Kinesthetic Feedback. - Qiwei Peng, Anders Søgaard:
Concept Space Alignment in Multilingual LLMs. - Chiao-An Yang, Ziwei Liu, Raymond A. Yeh:
Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Time. - Xuyang Zhang, Jiaqi Jiang, Shan Luo:
RoTip: A Finger-Shaped Tactile Sensor with Active Rotation. - Jiawei Fan, Ming Zhu, Yingtao Jiang, Hualiang Teng:
Development of a Platform to Enable Real Time, Non-disruptive Testing and Early Fault Detection of Critical High Voltage Transformers and Switchgears in High Speed-rail. - Catherine Yeh, Donghao Ren, Yannick Assogba, Dominik Moritz, Fred Hohman:
Exploring Empty Spaces: Human-in-the-Loop Data Augmentation. - Peiran Wu, Che Liu, Canyu Chen, Jun Li, Cosmin I. Bercea, Rossella Arcucci:
FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks. - Brett Mullins, Miguel Fuentes, Yingtai Xiao, Daniel Kifer, Cameron Musco, Daniel Sheldon:
Efficient and Private Marginal Reconstruction with Local Non-Negativity. - Vlatko Spasev, Ivica Dimitrovski, Ivan Chorbev, Ivan Kitanovski:
Semantic Segmentation of Unmanned Aerial Vehicle Remote Sensing Images using SegFormer. - Megan Sumner, Vardan Saini, Matthew Guzdial:
Mechanic Maker: Accessible Game Development Via Symbolic Learning Program Synthesis. - Hanlong Wan, Jian Zhang, Yan Chen, Weili Xu, Fan Feng:
Generative AI Application for Building Industry. - Seohyun Song, Eunkyul Leah Jo, Yige Chen, Jeen-Pyo Hong, Kyuwon Kim, Jin Wee, Miyoung Kang, Kyungtae Lim, Jungyeul Park, Chulwoo Park:
Unlocking Korean Verbs: A User-Friendly Exploration into the Verb Lexicon. - Wenhao Zhan, Scott Fujimoto, Zheqing Zhu, Jason D. Lee, Daniel R. Jiang, Yonathan Efroni:
Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank. - Gilberto Briscoe-Martinez, Anuj Pasricha, Ava Abderezaei, Santosh Chaganti, Sarath Chandra Vajrala, Sri Kanth Popuri, Alessandro Roncone:
Exploring How Non-Prehensile Manipulation Expands Capability in Robots Experiencing Multi-Joint Failure. - Daniel Melcer, Sujan K. Gonugondla, Pramuditha Perera, Haifeng Qian, Wen-Hao Chiang, Yanjun Wang, Nihal Jain, Pranav Garg, Xiaofei Ma, Anoop Deoras:
Approximately Aligned Decoding. - Petar Velickovic, Christos Perivolaropoulos, Federico Barbero, Razvan Pascanu:
softmax is not enough (for sharp out-of-distribution). - Aniket Datar, Anuj Pokhrel, Mohammad Nazeri, Madhan B. Rao, Chenhui Pan, Yufan Zhang, Andre Harrison, Maggie B. Wigness, Philip R. Osteen, Jinwei Ye, Xuesu Xiao:
M2P2: A Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions. - Hayden S. Helm, Aranyak Acharyya, Brandon Duderstadt, Youngser Park, Carey E. Priebe:
Embedding-based statistical inference on generative models. - Enze Liu, Elisa Luo, Jian Chen Yan, Katherine Izhikevich, Stewart Grant, Deian Stefan, Geoffrey M. Voelker, Stefan Savage:
Count of Monte Crypto: Accounting-based Defenses for Cross-Chain Bridges. - Meni Brief, Oded Ovadia, Gil Shenderovitz, Noga Ben Yoash, Rachel Lemberg, Eitam Sheetrit:
Mixing It Up: The Cocktail Effect of Multi-Task Fine-Tuning on LLM Performance - A Case Study in Finance. - (Withdrawn) RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation.
- Aaron Walsman, Muru Zhang, Adam Fishman, Ali Farhadi, Dieter Fox:
Learning to Build by Building Your Own Instructions. - Shuai Liu, Alex Ayoub, Flore Sentenac, Xiaoqi Tan, Csaba Szepesvári:
Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits. - Tanay Kumar, Raktim Bhattacharya:
Sparse Actuation for LPV Systems with Full-State Feedback in ℋ2/ ℋ∞ Framework. - Siavash H. Khajavi, Mehdi Moshtaghi, Dikai Yu, Zixuan Liu, Kary Främling, Jan Holmström:
Synthetic imagery for fuzzy object detection: A comparative study. - Zeyu Michael Li:
Using Interleaved Ensemble Unlearning to Keep Backdoors at Bay for Finetuning Vision Transformers. - Gilberto Díaz-García, Keith Paarporn, Jason R. Marden:
The Value of Compromising Strategic Intent in General Lotto Games. - Ilya Loshchilov, Cheng-Ping Hsieh, Simeng Sun, Boris Ginsburg:
nGPT: Normalized Transformer with Representation Learning on the Hypersphere. - Cooper Lorsung, Amir Barati Farimani:
Explain Like I'm Five: Using LLMs to Improve PDE Surrogate Models with Text. - Tomás Dodds, Astrid Vandendaele, Felix M. Simon, Natali Helberger, Valeria Resendez, Wang Ngai Yeung:
The Impact of Knowledge Silos on Responsible AI Practices in Journalism. - Deren Han, Jiaxin Xie:
A simple linear convergence analysis of the reshuffling Kaczmarz method. - Doohee You, Karim Lasri, Samuel Fraiberger:
Evaluating Deduplication Techniques for Economic Research Paper Titles with a Focus on Semantic Similarity using NLP and LLMs. - Han Zhang, Benjamin D. Killeen, Yu-Chun Ku, Lalithkumar Seenivasan, Yuxuan Zhao, Mingxu Liu, Yue Yang, Suxi Gu, Alejandro Martin-Gomez, Russell H. Taylor, Greg Osgood, Mathias Unberath:
StraightTrack: Towards Mixed Reality Navigation System for Percutaneous K-wire Insertion. - Yunhao Yang, Yuxin Hu, Mao Ye, Zaiwei Zhang, Zhichao Lu, Yi Xu, Ufuk Topcu, Ben Snyder:
Uncertainty-Guided Enhancement on Driving Perception System via Foundation Models. - Jingyu Hu, Jun Hong, Mengnan Du, Weiru Liu:
ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups. - Muyang Li, Juming Xiong, Ruining Deng, Tianyuan Yao, Regina N. Tyree, Girish Hiremath, Yuankai Huo:
Automatic Image Unfolding and Stitching Framework for Esophageal Lining Video Based on Density-Weighted Feature Matching. - Tristan Luca Saidi, Abigail Hickok, Andrew J. Blumberg:
Recovering Manifold Structure Using Ollivier-Ricci Curvature. - Anthony Y. Zhou, Zijie Li, Michael Schneier, John R. Buchanan Jr., Amir Barati Farimani:
Text2PDE: Latent Diffusion Models for Accessible Physics Simulation. - Siyi Liu, Yang Li, Jiang Li, Shan Yang, Yunshi Lan:
Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting. - Sadegh Farhang, William Hayes, Nick Murphy, Jonathan Neddenriep, Nicholas Tyris:
A Deep Learning Approach for Imbalanced Tabular Data in Advertiser Prospecting: A Case of Direct Mail Prospecting. - Panfeng Cao, Jian Wu:
GraphRevisedIE: Multimodal Information Extraction with Graph-Revised Network. - Zhijian Li, Stefan Larson, Kevin Leach:
Document Type Classification using File Names. - Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi, Yusuke Miyao:
GADFA: Generator-Assisted Decision-Focused Approach for Opinion Expressing Timing Identification. - Lauren Levine, Amir Zeldes:
Unifying the Scope of Bridging Anaphora Types in English: Bridging Annotations in ARRAU and GUM. - Bryan Li, Samar Haider, Fiona Luo, Adwait Agashe, Chris Callison-Burch:
BordIRlines: A Dataset for Evaluating Cross-lingual Retrieval-Augmented Generation. - Amrita Bhattacharjee, Shaona Ghosh, Traian Rebedea, Christopher Parisien:
Towards Inference-time Category-wise Safety Steering for Large Language Models. - Yue Zhong, Jiawen Kang, Jinbo Wen, Dongdong Ye, Jiangtian Nie, Dusit Niyato, Xiaozheng Gao, Shengli Xie:
Generative Diffusion-based Contract Design for Efficient AI Twins Migration in Vehicular Embodied AI Networks. - Tian Tian, Chunyu Chen, He Liang, Huayi Wei:
Adaptive Finite Element Method for Phase Field Fracture Models Based on Recovery Error Estimates. - Hasnat Md Abdullah, Tian Liu, Kangda Wei, Shu Kong, Ruihong Huang:
UAL-Bench: The First Comprehensive Unusual Activity Localization Benchmark. - Mao Li, Frederick Conrad, Johann Gagnon-Bartsch:
FastLexRank: Efficient Lexical Ranking for Structuring Social Media Posts. - Jie Shen, Xiaoyu Li:
Efficient PAC Learning of Halfspaces with Constant Malicious Noise Rate. - Chengyuan Liu, Shihang Wang, Lizhi Qing, Kun Kuang, Yangyang Kang, Changlong Sun, Fei Wu:
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs. - Rochana R. Obadage, Kumushini Thennakoon, Sarah Michele Rajtmajer, Jian Wu:
[Re] Network Deconvolution. - Jamie Mahowald, Benjamin Charles Germain Lee:
Integrating Visual and Textual Inputs for Searching Large-Scale Map Collections with CLIP. - Ethan Che, Jing Dong, Xin T. Tong:
Stochastic Gradient Descent with Adaptive Data. - Leo Feng, Frederick Tung, Mohamed Osama Ahmed, Yoshua Bengio, Hossein Hajimirsadeghi:
Were RNNs All We Needed? - Jingnan Gao, Zhuo Chen, Yichao Yan, Xiaokang Yang:
AniSDF: Fused-Granularity Neural Surfaces with Anisotropic Encoding for High-Fidelity 3D Reconstruction. - Xilong Wang, Hao Fu, Jindong Wang, Neil Zhenqiang Gong:
StringLLM: Understanding the String Processing Capability of Large Language Models. - Zhenyu Sun, Ziyang Zhang, Zheng Xu, Gauri Joshi, Pranay Sharma, Ermin Wei:
Debiasing Federated Learning with Correlated Client Participation. - Quang Vinh Nguyen, Thanh Hoang Son Vo, Sae-Ryung Kang, Soo-Hyung Kim:
Polyp-SES: Automatic Polyp Segmentation with Self-Enriched Semantic Model. - Weiye Zhao, Feihan Li, Yifan Sun, Yujie Wang, Rui Chen, Tianhao Wei, Changliu Liu:
Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction. - Yuling Shi, Songsong Wang, Chengcheng Wan, Xiaodong Gu:
From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging. - Wenbo Zhang, Yang Li, Yanyuan Qiao, Siyuan Huang, Jiajun Liu, Feras Dayoub, Xiao Ma, Lingqiao Liu:
Effective Tuning Strategies for Generalist Robot Manipulation Policies. - Saeed Mohseni-Sehdeh, Walid Saad:
Induced Covariance for Causal Discovery in Linear Sparse Structures. - Denis Los, Igor Petushkov:
Exploring Fine-grained Task Parallelism on Simultaneous Multithreading Cores. - (Withdrawn) Perceptual Piercing: Human Visual Cue-based Object Detection in Low Visibility Conditions.
- Yiyu Zhuang, Yuxiao He, Jiawei Zhang, Yanwen Wang, Jiahe Zhu, Yao Yao, Siyu Zhu, Xun Cao, Hao Zhu:
Towards Native Generative Model for 3D Head Avatar. - Kenya S. Andrews, Mesrob I. Ohannessian, Elena Zheleva:
See Me and Believe Me: Causality and Intersectionality in Testimonial Injustice in Healthcare. - Yifan Qiao, Shu Anzai, Shan Yu, Haoran Ma, Yang Wang, Miryung Kim, Harry Xu:
ConServe: Harvesting GPUs for Low-Latency and High-Throughput Large Language Model Serving. - Wentao Wang, Yi Shen, Kaiyang Chen, Kaifan Lu:
Towards Efficient Moion Planning for UAVs: Lazy A* Search with Motion Primitives. - Shuo Yang, Jiadong Xie, Yingfan Liu, Jeffrey Xu Yu, Xiyue Gao, Qianru Wang, Yanguo Peng, Jiangtao Cui:
Revisiting the Index Construction of Proximity Graph-Based Approximate Nearest Neighbor Search. - Yuming Zhang, Peizhe Wang, Shouxin Zhang, Dongzhi Guan, Jiabin Liu, Junhao Su:
Replacement Learning: Training Vision Tasks with Fewer Learnable Parameters. - Lishan Zhang, Han Wu, Xiaoshan Huang, Tengfei Duan, Hanxiang Du:
Automatic deductive coding in discourse analysis: an application of large language models in learning analytics. - Haolin Jin, Zechao Sun, Huaming Chen:
RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance. - Anuj K. Nayak, Lav R. Varshney:
An Information Theory of Compute-Optimal Size Scaling, Emergence, and Plateaus in Language Models. - Xiaotian Lu, Jiyi Li, Koh Takeuchi, Hisashi Kashima:
AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses. - Zhihan Xiong, Maryam Fazel, Lin Xiao:
Dual Approximation Policy Optimization. - Shaozu Ding, Yihong Tang, Marco De Vincenzi, Dajiang Suo:
High and Low Resolution Tradeoffs in Roadside Multimodal Sensing. - Zhiwen Shao, Hancheng Zhu, Yong Zhou, Xiang Xiang, Bing Liu, Rui Yao, Lizhuang Ma:
Facial Action Unit Detection by Adaptively Constraining Self-Attention and Causally Deconfounding Sample. - Yunming Liao, Yang Xu, Hongli Xu, Zhiwei Yao, Liusheng Huang, Chunming Qiao:
ParallelSFL: A Novel Split Federated Learning Framework Tackling Heterogeneity Issues. - Zhilin Wang, Alexander Bukharin, Olivier Delalleau, Daniel Egert, Gerald Shen, Jiaqi Zeng, Oleksii Kuchaiev, Yi Dong:
HelpSteer2-Preference: Complementing Ratings with Preferences. - Hongjian Zhou, Keren Zhu, Jiaqi Gu:
Automated Curvy Waveguide Routing for Large-Scale Photonic Integrated Circuits. - Wenmo Qiu, Xinhan Di:
OCC-MLLM:Empowering Multimodal Large Language Model For the Understanding of Occluded Objects. - Conghan Yue, Zhengwei Peng, Shiyan Du, Zhi Ji, Dongyu Zhang:
Aggregation of Multi Diffusion Models for Enhancing Learned Representations. - Weimin Lyu, Jiachen Yao, Saumya Gupta, Lu Pang, Tao Sun, Lingjie Yi, Lijie Hu, Haibin Ling, Chao Chen:
Backdooring Vision-Language Models with Out-Of-Distribution Data. - Pohsun Feng, Ziqian Bi, Yizhu Wen, Xuanhe Pan, Benji Peng, Ming Liu, Jiawei Xu, Keyu Chen, Junyu Liu, Caitlyn Heqi Yin, Sen Zhang, Jinlang Wang, Qian Niu, Ming Li, Tianyang Wang:
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications. - Jeho Lee, Chanyoung Jung, Jiwon Kim, Hojung Cha:
Panopticus: Omnidirectional 3D Object Detection on Resource-constrained Edge Devices. - Jiale Zhang, Chengcheng Zhu, Bosen Rao, Hao Sui, Xiaobing Sun, Bing Chen, Chunyi Zhou, Shouling Ji:
"No Matter What You Do!": Mitigating Backdoor Attacks in Graph Neural Networks. - Suhwan Choi, Yongjun Cho, Minchan Kim, Jaeyoon Jung, Myunchul Joe, Yubeen Park, Minseo Kim, Sungwoong Kim, Sungjae Lee, Hwiseong Park, Jiwan Chung, Youngjae Yu:
CANVAS: Commonsense-Aware Navigation System for Intuitive Human-Robot Interaction. - Xavier F. Cadet, Anastasia Borovykh, Mohammad Malekzadeh, Sara Ahmadi-Abhari, Hamed Haddadi:
Deep Unlearn: Benchmarking Machine Unlearning. - Biagio Trimarchi, Fabrizio Schiano, Roberto Tron:
A Control Barrier Function Candidate for Limited Field of View Sensors. - Can Demircan, Tankred Saanum, Akshay K. Jagadish, Marcel Binz, Eric Schulz:
Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models. - Haomin Wen, Shurui Cao, Leman Akoglu:
Uncertainty-aware Human Mobility Modeling and Anomaly Detection. - Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng:
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration. - Ameen Ali, Lior Wolf, Ivan Titov:
Mitigating Copy Bias in In-Context Learning through Neuron Pruning. - Haotian Lu, Ziang Yin, Partho Bhoumik, Sanmitra Banerjee, Krishnendu Chakrabarty, Jiaqi Gu:
The Unlikely Hero: Nonideality in Analog Photonic Neural Networks as Built-in Defender Against Adversarial Attacks. - Paul F. Christiano, Jacob Hilton, Andrea Lincoln, Eric Neyman, Mark Xu:
Towards a Law of Iterated Expectations for Heuristic Estimators. - Kevin Schott, Andrea Papenmeier, Daniel Hienert, Dagmar Kern:
What Did I Say Again? Relating User Needs to Search Outcomes in Conversational Commerce. - Yutaro Ishida, Yuki Noguchi, Takayuki Kanai, Kazuhiro Shintani, Hiroshi Bito:
Robust Imitation Learning for Mobile Manipulator Focusing on Task-Related Viewpoints and Regions. - Ahmed Tawfik Aboukhadra, Nadia Robertini, Jameel Malik, Ahmed Elhayek, Gerd Reis, Didier Stricker:
SurgeoNet: Realtime 3D Pose Estimation of Articulated Surgical Instruments from Stereo Images using a Synthetically-trained Network. - Brian R. Y. Huang, Maximilian Li, Leonard Tang:
Endless Jailbreaks with Bijection Learning. - Biao Zhang, Peter Wonka:
LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion. - Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen, Tianlin Li, Weipeng Jiang, Yang Liu:
Speculative Coreset Selection for Task-Specific Fine-tuning. - Franco Minucci, Raquel Marina Noguera Oishi, Haoqiu Xiong, Dieter Verbruggen, Cel Thys, Rizqi Hersyandika, Robbert Beerten, Achiel Colpaert, Vida Ranjbar, Sofie Pollin:
Building a real-time physical layer labeled data logging facility for 6G research. - Jarne Van Mulders, Benjamin J. B. Deutschmann, Geoffrey Ottoy, Lieven De Strycker, Liesbet Van der Perre, Thomas Wilding, Gilles Callebaut:
Single versus Multi-Tone Wireless Power Transfer with Physically Large Array. - Zilu Zhao, Dirk Slock:
Decentralized Expectation Propagation for Semi-Blind Channel Estimation in Cell-Free Networks. - Silvio Giancola, Anthony Cioppa, Bernard Ghanem, Marc Van Droogenbroeck:
Deep learning for action spotting in association football videos. - Roman Plaud, Matthieu Labeau, Antoine Saillenfest, Thomas Bonald:
Revisiting Hierarchical Text Classification: Inference and Metrics. - Abdur Rasool, Muhammad Irfan Shahzad, Hafsa Aslam, Vincent Chan:
Emotion-Aware Response Generation Using Affect-Enriched Embeddings with LLMs. - Mohit Bhatnagar:
FanCric : Multi-Agentic Framework for Crafting Fantasy 11 Cricket Teams. - Guanyu Cui, Zhewei Wei, Hsin-Hao Su:
Rethinking the Expressiveness of GNNs: A Computational Model Perspective. - Jiajun He, Gergely Flamich, José Miguel Hernández-Lobato:
Getting Free Bits Back from Rotational Symmetries in LLMs. - Vineet Jain, Tara Akhound-Sadegh, Siamak Ravanbakhsh:
Sampling from Energy-based Policies using Diffusion. - Ziyang Jiang, Pingchuan Ma, Meng Zhang, Zhaoran Rena Huang, Jiaqi Gu:
ADEPT-Z: Zero-Shot Automated Circuit Topology Search for Pareto-Optimal Photonic Tensor Cores. - Johannes Hertrich, Tim Jahn, Michael Quellmalz:
Fast Summation of Radial Kernels via QMC Slicing. - Jiyun Jang, Mincheol Chang, Jongwon Park, Jinkyu Kim:
Finetuning Pre-trained Model with Limited Data for LiDAR-based 3D Object Detection by Bridging Domain Gaps. - Maryam Ramezani, Hossein Goli, Amirmohammad Izadi, Hamid R. Rabiee:
Detecting Viral Social Events through Censored Observation with Deep Survival Analysis. - Debargha Ganguly, Warren R. Morningstar, Andrew Seohwan Yu, Vipin Chaudhary:
Forte : Finding Outliers with Representation Typicality Estimation. - Jaeyoung Park, Minsu Kim, Steven Euijong Whang:
Fair Class-Incremental Learning using Sample Weighting. - Hogyun Kim, Byunghee Choi, Euncheol Choi, Younggun Cho:
ReFeree: Radar-Based Lightweight and Robust Localization using Feature and Free space. - Guangyu Zhu, Xidong Mu, Li Guo, Ao Huang, Shibiao Xu:
Enhancing User Fairness in Wireless Powered Communication Networks with STAR-RIS. - Alessio Russo, Alberto Maria Metelli, Marcello Restelli:
Efficient Learning of POMDPs with Known Observation Model in Average-Reward Setting. - Hang Chen, Jiaying Zhu, Xinyu Yang, Wenya Wang:
Unveiling Language Skills under Circuits. - Lucas Bandarkar, Benjamin Muller, Pritish Yuvraj, Rui Hou, Nayan Singhal, Hongjiang Lv, Bing Liu:
Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models. - Andrea Carrara, Stavros Nousias, André Borrmann:
VectorGraphNET: Graph Attention Networks for Accurate Segmentation of Complex Technical Drawings. - Bocheng Zeng, Qi Wang, Mengtao Yan, Yang Liu, Ruizhi Chengze, Yi Zhang, Hongsheng Liu, Zidong Wang, Hao Sun:
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems. - Zhaofeng Shi, Heqian Qiu, Lanxiao Wang, Fanman Meng, Qingbo Wu, Hongliang Li:
Cognition Transferring and Decoupling for Text-supervised Egocentric Semantic Segmentation. - Ricardo Garcia, Shizhe Chen, Cordelia Schmid:
Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D Policy. - Alex Baranski, Jun Tani:
Life, uh, Finds a Way: Systematic Neural Search. - Yuguang Yang, Yu Pan, Jixun Yao, Xiang Zhang, Jianhao Ye, Hongbin Zhou, Lei Xie, Lei Ma, Jianjun Zhao:
Takin-VC: Zero-shot Voice Conversion via Jointly Hybrid Content and Memory-Augmented Context-Aware Timbre Modeling. - Jenny Drnevich, Frederick J. Tan, Fabricio Almeida-Silva, Robert Castelo, Aedín C. Culhane, Sean Davis, Maria A. Doyle, Susan P. Holmes, Leo Lahti, Alexandru Mahmoud, Kozo Nishida, Marcel Ramos, Kevin C. Rue-Albrecht, David J. H. Shih, Laurent Gatto, Charlotte Soneson:
Learning and teaching biological data science in the Bioconductor community. - Zhenyu Pan, Rongyu Cao, Yongchang Cao, Yingwei Ma, Binhua Li, Fei Huang, Han Liu, Yongbin Li:
Codev-Bench: How Do LLMs Understand Developer-Centric Code Completion? - Julian Neuberger, Han van der Aa, Lars Ackermann, Daniel Buschek, Jannic Herrmann, Stefan Jablonski:
Assisted Data Annotation for Business Process Information Extraction from Textual Documents. - Guoxia Wang, Jinle Zeng, Xiyuan Xiao, Siming Wu, Jiabin Yang, Lujing Zheng, Zeyu Chen, Jiang Bian, Dianhai Yu, Haifeng Wang:
FlashMask: Efficient and Rich Mask Extension of FlashAttention. - Junfeng Lyu, Feng Xu:
High-quality Animatable Eyelid Shapes from Lightweight Captures. - Shasha Guo, Lizi Liao, Jing Zhang, Cuiping Li, Hong Chen:
PCQPR: Proactive Conversational Question Planning with Reflection. - Yutian Zhang, Guohong Zheng, Zhiyuan Liu, Quan Li, Haipeng Zeng:
MARLens: Understanding Multi-agent Reinforcement Learning for Traffic Signal Control via Visual Analytics. - Kento Masui, Mayu Otani, Masahiro Nomura, Hideki Nakayama:
Harnessing the Latent Diffusion Model for Training-Free Image Style Transfer. - Zhe Wang, Tianjian Zhao, Zhen Zhang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen, Can Wang:
Towards Dynamic Graph Neural Networks with Provably High-Order Expressive Power. - Francesca Da Ros, Marie-Louise Lackner, Nysret Musliu:
Theoretical Lower Bounds for the Oven Scheduling Problem. - Seok Ki Moon, Milan Stanko:
A method to estimate well flowing gas-oil ratio and composition using pressure and temperature measurements across a production choke, a seed composition of oil and gas, and a thermodynamic simulator. - Alejandro Castañeda Garcia, Jan van Gemert, Daan Brinks, Nergis Tömen:
Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems. - Jiyeon Kim, Hyunji Lee, Hyowon Cho, Joel Jang, Hyeonbin Hwang, Seungpil Won, Youbin Ahn, Dohaeng Lee, Minjoon Seo:
Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition. - Chao-Wei Huang, Yun-Nung Chen:
PairDistill: Pairwise Relevance Distillation for Dense Retrieval. - Yutian Zhang, Liwen Xu, Shaocong Tao, Quanxue Guan, Quan Li, Haipeng Zeng:
CSLens: Towards Better Deploying Charging Stations via Visual Analytics - A Coupled Networks Perspective. - Ioannis Mavromatis, Stefano De Feo, Aftab Khan:
FLAME: Adaptive and Reactive Concept Drift Mitigation for Federated Learning Deployments. - Toshiki Kindo:
Quantifying Cancer Likeness: A Statistical Approach for Pathological Image Diagnosis. - Michaël Soumm:
Causal Inference Tools for a Better Evaluation of Machine Learning. - Dongyang Li, Linyuan Wang, Guangwei Xiong, Bin Yan, Dekui Ma, Jinxian Peng:
Signal Adversarial Examples Generation for Signal Detection Network via White-Box Attack. - Mauro Bisiacco, Gianluigi Pillonetto:
Gaussian kernel expansion with basis functions uniformly bounded in ℒ∞. - Yeonsun Yang, Ahyeon Shin, Mincheol Kang, Jiheon Kang, Jean Y. Song:
Can We Delegate Learning to Automation?: A Comparative Study of LLM Chatbots, Search Engines, and Books. - Brendan Dijkstra, Ninad Jadhav, Alex Sloot, Matteo Marcantoni, Bayu Jayawardhana, Stephanie Gil, Bahar Haghighat:
WiFi-CSI Sensing and Bearing Estimation in Multi-Robot Systems: An Open-Source Simulation Framework. - Punyajoy Saha, Abhilash Datta, Abhik Jana, Animesh Mukherjee:
CrowdCounter: A benchmark type-specific multi-target counterspeech dataset. - Yu Zhang, Kehai Chen, Xuefeng Bai, Zhao Kang, Quanjiang Guo, Min Zhang:
Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering. - Cédric Join, D. Blair Jovellar, Emmanuel Delaleau, Michel Fliess:
Detection and suppression of epileptiform seizures via model-free control and derivatives in a noisy environment. - Hongru Yan, Yu Zheng, Yueqi Duan:
Gaussian-Det: Learning Closed-Surface Gaussians for 3D Object Detection. - Kevin Xu, Issei Sato:
On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encoding. - Umair Nawaz, Muhammad Awais, Hanan Gani, Muzammal Naseer, Fahad Shahbaz Khan, Salman Khan, Rao Muhammad Anwer:
AgriCLIP: Adapting CLIP for Agriculture and Livestock via Domain-Specialized Cross-Model Alignment. - Jun Wang, Yu Mao, Nan Guan, Chun Jason Xue:
SHAP-CAT: A interpretable multi-modal framework enhancing WSI classification via virtual staining and shapley-value-based multimodal fusion. - Andy Trung Huynh, Benjamin Zwick, Mostafa Jamshidian, Michael Halle, Adam Wittek, Karol Miller:
Hexahedral mesh of anatomical atlas for construction of computational human brain models: Applications to modeling biomechanics and bioelectric field propagation. - Yan Huang, Wei Liu, Xiaogang Zang:
Improving Fuzzy Rule Classifier with Brain Storm Optimization and Rule Modification. - Sinhué García Gil, Luis Llana Díaz, José Ignacio Requeno Jarabo:
QCRMut: Quantum Circuit Random Mutant generator tool. - Hong Li, Nanxi Li, Yuanjie Chen, Jianbin Zhu, Qinlu Guo, Cewu Lu, Yong-Lu Li:
The Labyrinth of Links: Navigating the Associative Maze of Multi-modal LLMs. - Ella Gale, Leo Lobski, Fabio Zanasi:
Disconnection Rules are Complete for Chemical Reactions. - Md. Fahim Sikder, Daniel de Leng, Fredrik Heintz:
Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation. - Yingdong Hu, Zhening Liu, Jiawei Shao, Zehong Lin, Jun Zhang:
EVA-Gaussian: 3D Gaussian-based Real-time Human Novel View Synthesis under Diverse Camera Settings. - Xingxuan Li, Weiwen Xu, Ruochen Zhao, Fangkai Jiao, Shafiq Joty, Lidong Bing:
Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks. - Amber Cassimon, Siegfried Mercelis, Kevin Mets:
Scalable Reinforcement Learning-based Neural Architecture Search. - Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, Yoshua Bengio:
Adaptive teachers for amortized samplers. - Philipp Mondorf, Sondre Wold, Barbara Plank:
Circuit Compositions: Exploring Modular Structures in Transformer-Based Language Models. - Ching-Chia Kao, Chia-Mu Yu, Chun-Shien Lu, Chu-Song Chen:
Information-Theoretical Principled Trade-off between Jailbreakability and Stealthiness on Vision Language Models. - Jinghan Li, Zhicheng Sun, Fei Li, Cao Sheng, Jiazhong Yu, Yadong Mu:
Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling. - Arkadip Maitra, Shree Mitra, Siladittya Manna, Saumik Bhattacharya, Umapada Pal:
Decorrelation-based Self-Supervised Visual Representation Learning for Writer Identification. - Côme Allart, Jean-Roch Coulon, André Sintzoff, Olivier Potin, Jean-Baptiste Rigaud:
Using a Performance Model to Implement a Superscalar CVA6. - Jin Hwa Lee, Thomas Jiralerspong, Lei Yu, Yoshua Bengio, Emily Cheng:
Geometric Signatures of Compositionality Across a Language Model's Lifetime. - Dinh-Viet-Toan Le, Louis Bigo, Mikaela Keller:
Analyzing Byte-Pair Encoding on Monophonic and Polyphonic Symbolic Music: A Focus on Musical Phrase Segmentation. - Hong-Hsiang Liu, Yi-Wen Liu:
Agent-Driven Large Language Models for Mandarin Lyric Generation. - Oskar Nordenfors, Axel Flinth:
Ensembles provably learn equivariance through data augmentation. - Annalí Casanueva Artís, Davide Rossi, Stefano Zacchiroli, Théo Zimmermann:
The Impact of the COVID-19 Pandemic on Women's Contribution to Public Code. - Xingyu Ji, Jiale Liu, Lu Li, Maojun Wang, Zeyu Zhang:
Verbalized Graph Representation Learning: A Fully Interpretable Graph Model Based on Large Language Models Throughout the Entire Process. - Xiefeng Wu:
From Reward Shaping to Q-Shaping: Achieving Unbiased Learning with LLM-Guided Knowledge. - Nguyen Thi Minh Huong, Vo Quoc Bao, Nguyen Trung Hau, Huynh Quang Linh:
A Smart Chair for Health Monitoring in Daily Life.