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ORCIDCoRR, August 2024
- Wenhao Wang, Yifan Sun, Zongxin Yang, Zhengdong Hu, Zhentao Tan, Yi Yang:
Replication in Visual Diffusion Models: A Survey and Outlook. - Subek Sharma, Sisir Dhakal
, Mansi Bhavsar:
Evaluating Transfer Learning in Deep Learning Models for Classification on a Custom Wildlife Dataset: Can YOLOv8 Surpass Other Architectures? - Mohamed Allam, Noureddine Boujnah, Noel E. O'Connor, Mingming Liu:
Synthetic Time Series for Anomaly Detection in Cloud Microservices. - Yuhang Yao, Han Jin, Alay Dilipbhai Shah, Shanshan Han, Zijian Hu, Yide Ran, Dimitris Stripelis, Zhaozhuo Xu, Salman Avestimehr, Chaoyang He:
ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency. - Cliver W. Vilca-Tinta, Fred Torres-Cruz, Josefh J. Quispe-Morales:
Optimization of Energy Consumption Forecasting in Puno using Parallel Computing and ARIMA Models: An Innovative Approach to Big Data Processing. - Ana M. Ferreiro, José Antonio García-Rodríguez, José G. López-Salas, Carlos Vázquez:
An efficient implementation of parallel simulated annealing algorithm in GPUs. - Yi Cui:
WebApp1K: A Practical Code-Generation Benchmark for Web App Development. - Tung Minh Luu, Haeyong Kang, Tri Ton, Thanh Nguyen, Chang D. Yoo:
On the Perturbed States for Transformed Input-robust Reinforcement Learning. - Valdemar Danry, Pat Pataranutaporn, Matthew Groh, Ziv Epstein, Pattie Maes:
Deceptive AI systems that give explanations are more convincing than honest AI systems and can amplify belief in misinformation. - Supriya Manna, Niladri Sett:
Need of AI in Modern Education: in the Eyes of Explainable AI (xAI). - David Gamez, Dionis Barcari, Aliya Grig:
A New Type of Foundation Model Based on Recordings of People's Emotions and Physiology. - Mohammad Ali Labbaf Khaniki, Alireza Golkarieh, Houman Nouri, Mohammad Manthouri:
Enhanced Fault Detection and Cause Identification Using Integrated Attention Mechanism. - Xiaofei Zhu, Yabo Yin, Li Wang:
MIMNet: Multi-Interest Meta Network with Multi-Granularity Target-Guided Attention for Cross-domain Recommendation. - Junru Chen, Tianyu Cao, Jing Xu, Jiahe Li, Zhilong Chen, Tao Xiao, Yang Yang:
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification. - Fabian Lehmann, Jonathan Bader, Ninon De Mecquenem, Xing Wang, Vasilis Bountris, Florian Friederici, Ulf Leser, Lauritz Thamsen:
Ponder: Online Prediction of Task Memory Requirements for Scientific Workflows. - Cem Suulker, Alexander Greenway, Sophie Skach, Ildar Farkhatdinov, Stuart Charles Miller, Kaspar Althoefer:
A User Study Method on Healthy Participants for Assessing an Assistive Wearable Robot Utilising EMG Sensing. - Tyler Ward:
Areas of Improvement for Autonomous Vehicles: A Machine Learning Analysis of Disengagement Reports. - Jakub Sowa, Bach Hoang, Advaith Yeluru, Steven Qie, Anita Nikolich, Ravishankar K. Iyer, Phuong Cao:
Post-Quantum Cryptography (PQC) Network Instrument: Measuring PQC Adoption Rates and Identifying Migration Pathways. - Anna Beer, Martin Heinrigs, Claudia Plant, Ira Assent:
Temporal Subspace Clustering for Molecular Dynamics Data. - Hanyuan Xiao, Yingshu Chen, Huajian Huang, Haolin Xiong, Jing Yang, Pratusha Prasad, Yajie Zhao:
Localized Gaussian Splatting Editing with Contextual Awareness. - James Cole, Kathryn Hays, Ruth West:
Designing Beyond Current Conceptualizations of Spaceflight Experiences. - Enrico Ghiorzi, Armando Tacchella:
Execution Semantics of Behavior Trees in Robotic Applications. - Fanzhi Jiang, Su Yang, Mark W. Jones, Liumei Zhang:
From Attributes to Natural Language: A Survey and Foresight on Text-based Person Re-identification. - Dickness Kwesiga, Angshuman Guin, Michael Hunter:
Adaptive Transit Signal Priority based on Deep Reinforcement Learning and Connected Vehicles in a Traffic Microsimulation Environment. - Riccardo Orlando, Pere-Lluís Huguet Cabot, Edoardo Barba, Roberto Navigli:
ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget. - Xudong Xie, Yuzhe Li, Yang Liu, Zhifei Zhang, Zhaowen Wang, Wei Xiong, Xiang Bai:
WAS: Dataset and Methods for Artistic Text Segmentation. - Adam Gould, Guilherme Paulino-Passos, Seema Dadhania, Matthew Williams, Francesca Toni:
Preference-Based Abstract Argumentation for Case-Based Reasoning (with Appendix). - Wenyuan Chen, Haocong Song, Changsheng Dai, Aojun Jiang, Guanqiao Shan, Hang Liu, Yanlong Zhou, Khaled Abdalla, Shivani N. Dhanani, Katy Fatemeh Moosavi, Shruti Pathak, Clifford Librach, Zhuoran Zhang, Yu Sun:
Automated Sperm Morphology Analysis Based on Instance-Aware Part Segmentation. - Adam Karvonen, Benjamin Wright, Can Rager, Rico Angell, Jannik Brinkmann, Logan Smith, Claudio Mayrink Verdun, David Bau, Samuel Marks:
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models. - Kewei Cheng, Jingfeng Yang, Haoming Jiang, Zhengyang Wang, Binxuan Huang, Ruirui Li, Shiyang Li, Zheng Li, Yifan Gao, Xian Li, Bing Yin, Yizhou Sun:
Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs. - Xusheng Luo, Tianhao Wei, Simin Liu, Ziwei Wang, Luis Mattei-Mendez, Taylor Loper, Joshua Neighbor, Casidhe Hutchison, Changliu Liu:
Certifying Robustness of Learning-Based Keypoint Detection and Pose Estimation Methods. - Morgane Rivière, Shreya Pathak, Pier Giuseppe Sessa, Cassidy Hardin, Surya Bhupatiraju, Léonard Hussenot, Thomas Mesnard, Bobak Shahriari, Alexandre Ramé, Johan Ferret, Peter Liu, Pouya Tafti, Abe Friesen, Michelle Casbon, Sabela Ramos, Ravin Kumar, Charline Le Lan, Sammy Jerome, Anton Tsitsulin, Nino Vieillard, Piotr Stanczyk, Sertan Girgin, Nikola Momchev, Matt Hoffman, Shantanu Thakoor, Jean-Bastien Grill, Behnam Neyshabur, Olivier Bachem, Alanna Walton, Aliaksei Severyn, Alicia Parrish, Aliya Ahmad, Allen Hutchison, Alvin Abdagic, Amanda Carl, Amy Shen, Andy Brock, Andy Coenen, Anthony Laforge, Antonia Paterson, Ben Bastian, Bilal Piot, Bo Wu, Brandon Royal, Charlie Chen, Chintu Kumar, Chris Perry, Chris Welty, Christopher A. Choquette-Choo, Danila Sinopalnikov, David Weinberger, Dimple Vijaykumar, Dominika Rogozinska, Dustin Herbison, Elisa Bandy, Emma Wang, Eric Noland, Erica Moreira, Evan Senter, Evgenii Eltyshev, Francesco Visin, Gabriel Rasskin, Gary Wei, Glenn Cameron, Gus Martins, Hadi Hashemi, Hanna Klimczak-Plucinska, Harleen Batra, Harsh Dhand, Ivan Nardini, Jacinda Mein, Jack Zhou, James Svensson, Jeff Stanway, Jetha Chan, Jin Peng Zhou, Joana Carrasqueira, Joana Iljazi, Jocelyn Becker, Joe Fernandez, Joost van Amersfoort, Josh Gordon, Josh Lipschultz, Josh Newlan, Ju-yeong Ji, Kareem Mohamed, Kartikeya Badola, Kat Black, Katie Millican, Keelin McDonell, Kelvin Nguyen, Kiranbir Sodhia, Kish Greene, Lars Lowe Sjösund, Lauren Usui, Laurent Sifre, Lena Heuermann, Leticia Lago, Lilly McNealus:
Gemma 2: Improving Open Language Models at a Practical Size. - Yufang Hou, Thy Thy Tran, Doan Nam Long Vu, Yiwen Cao, Kai Li, Lukas Rohde, Iryna Gurevych:
A Course Shared Task on Evaluating LLM Output for Clinical Questions. - Zheqi Lv, Shaoxuan He, Tianyu Zhan, Shengyu Zhang, Wenqiao Zhang, Jingyuan Chen, Zhou Zhao, Fei Wu:
Semantic Codebook Learning for Dynamic Recommendation Models. - Martin Stanek:
Revisiting Monte Carlo Strength Evaluation. - Minxing Zhang, Ahmed Salem, Michael Backes, Yang Zhang:
Vera Verto: Multimodal Hijacking Attack. - Fabian Kröninger, Caroline Lasser, Jirí Vanícek:
Sampling strategies for expectation values within the Herman-Kluk approximation. - Jesús Silva-Rodríguez, Elias Raffoul, Xingpeng Li:
LSTM-Based Net Load Forecasting for Wind and Solar Power-Equipped Microgrids. - Sangwon Yu, Jongyoon Song, Bongkyu Hwang, Hoyoung Kang, Sooah Cho, Junhwa Choi, Seongho Joe, Taehee Lee, Youngjune L. Gwon, Sungroh Yoon:
Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment. - Letizia Iannucci, Ali Faqeeh, Ali Salloum, Ted Hsuan Yun Chen, Mikko Kivelä:
Multiway Alignment of Political Attitudes. - Siqi Liang, Sumyeong Ahn, Jiayu Zhou:
Distributed In-Context Learning under Non-IID Among Clients. - Colin Shea-Blymyer, Houssam Abbas:
Formal Ethical Obligations in Reinforcement Learning Agents: Verification and Policy Updates. - Kaiyuan Tang, Chaoli Wang:
StyleRF-VolVis: Style Transfer of Neural Radiance Fields for Expressive Volume Visualization. - Lucrezia Grassi, Carmine Tommaso Recchiuto, Antonio Sgorbissa:
Moderating Group Conversation Dynamics with Social Robots. - Arumoy Shome, Luis Cruz, Diomidis Spinellis, Arie van Deursen:
Understanding Feedback Mechanisms in Machine Learning Jupyter Notebooks. - Jiyoung Lee, Keeheon Lee:
Measuring Falseness in News Articles based on Concealment and Overstatement. - Han Gao, Sebastian Kaltenbach, Petros Koumoutsakos:
Generative Learning of the Solution of Parametric Partial Differential Equations Using Guided Diffusion Models and Virtual Observations. - Ying Li, Rahul Singh, Tarun Joshi, Agus Sudjianto:
Automatic Generation of Behavioral Test Cases For Natural Language Processing Using Clustering and Prompting. - Gandalf Nicolas, Aylin Caliskan:
A Taxonomy of Stereotype Content in Large Language Models. - Yuanqing Wang, Kyunghyun Cho:
Non-convolutional Graph Neural Networks. - Thanet Markchom, Huizhi Liang, James M. Ferryman:
Review of Explainable Graph-Based Recommender Systems. - Giulio Corallo, Paolo Papotti:
Finch: Prompt-guided Key-Value Cache Compression. - Stéphane Vujasinovic, Stefan Becker, Sebastian Bullinger, Norbert Scherer-Negenborn, Michael Arens:
Strike the Balance: On-the-Fly Uncertainty based User Interactions for Long-Term Video Object Segmentation. - Lingyu Zhang, Zhengran Ji, Boyuan Chen:
CREW: Facilitating Human-AI Teaming Research. - Georgios Papagiannis, Kamil Dreczkowski, Vitalis Vosylius, Edward Johns:
Adapting Skills to Novel Grasps: A Self-Supervised Approach. - Shreyank N. Gowda, David A. Clifton:
CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation. - Andrea Seung Kim, Niloufar Saharkhiz, Elena Sizikova, Miguel A. Lago, Berkman Sahiner, Jana G. Delfino, Aldo Badano:
S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images. - Sazzad Sayyed, Milin Zhang, Shahriar Rifat, Ananthram Swami, Michael DeLucia, Francesco Restuccia:
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges. - Nils Demerlé, Philippe Esling, Guillaume Doras, David Genova:
Combining audio control and style transfer using latent diffusion. - Elijah Pelofske, Vincent Urias, Lorie M. Liebrock:
Automated Software Vulnerability Static Code Analysis Using Generative Pre-Trained Transformer Models. - Michael Hartung, Andreas Maier, Fernando Delgado-Chaves, Yuliya Burankova, Olga I. Isaeva, Fábio Malta de Sá Patroni, Daniel He, Casey Shannon, Katharina Kaufmann, Jens Lohmann, Alexey Savchik, Anne Hartebrodt, Zoe Chervontseva, Farzaneh Firoozbakht, Niklas Probul, Evgenia Zotova, Olga Tsoy, David B. Blumenthal, Martin Ester, Tanja Laske, Jan Baumbach, Olga I. Zolotareva:
UnPaSt: unsupervised patient stratification by differentially expressed biclusters in omics data. - Yadong Lu, Jianwei Yang, Yelong Shen, Ahmed Awadallah:
OmniParser for Pure Vision Based GUI Agent. - Kohei Matsuura, Takanori Ashihara, Takafumi Moriya, Masato Mimura, Takatomo Kano, Atsunori Ogawa, Marc Delcroix:
Sentence-wise Speech Summarization: Task, Datasets, and End-to-End Modeling with LM Knowledge Distillation. - Qi Xiong, Xinman Zhang, Jun Shen:
A Prior Embedding-Driven Architecture for Long Distance Blind Iris Recognition. - Daniel D. Johnson:
Penzai + Treescope: A Toolkit for Interpreting, Visualizing, and Editing Models As Data. - Koya Sakakibara:
Well-conditioned dipole-type method of fundamental solutions: derivation and its mathematical analysis. - Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xue Liu, Charlie Jianzhong Zhang:
Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control. - Ava Abderezaei, Anuj Pasricha, Alex Klausenstock, Alessandro Roncone:
Clutter-Aware Spill-Free Liquid Transport via Learned Dynamics. - Alireza Javani, Zhiying Wang:
Load Balancing in Federated Learning. - Zheng Zhang, Qiong Wu, Pingyi Fan, Ke Xiong:
Age of Information Analysis for Multi-Priority Queue and NOMA Enabled C-V2X in IoV. - Joy Z. Wan:
Finding a Shortest M-link Path in a Monge Directed Acyclic Graph. - Juntu Zhao, Junyu Deng, Yixin Ye, Chongxuan Li, Zhijie Deng, Dequan Wang:
Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models. - Shuai Zhang, Zite Jiang, Haihang You:
CDFGNN: a Systematic Design of Cache-based Distributed Full-Batch Graph Neural Network Training with Communication Reduction. - Jason Dekarske, Gregory Bales, Zhaodan Kong, Sanjay S. Joshi:
Anytime Trust Rating Dynamics in a Human-Robot Interaction Task. - Minheng Xiao, Shi Bo, Zhizhong Wu:
Multiple Greedy Quasi-Newton Methods for Saddle Point Problems. - Hyeok Kim, Arjun Srinivasan, Matthew Brehmer:
Bringing Data into the Conversation: Adapting Content from Business Intelligence Dashboards for Threaded Collaboration Platforms. - Ryan Lavin, Xuekai Liu, Hardhik Mohanty, Logan Norman, Giovanni Zaarour, Bhaskar Krishnamachari:
A Survey on the Applications of Zero-Knowledge Proofs. - Tian Meng, Yang Tao, Wuliang Yin:
Enhanced Structured State Space Models via Grouped FIR Filtering and Attention Sink Mechanisms. - Yingcai Ma, Ziyang Wang, Yuliang Yan, Jian Wu, Yuning Jiang, Longbin Li, Wen Chen, Jianhang Huang:
Simple but Efficient: A Multi-Scenario Nearline Retrieval Framework for Recommendation on Taobao. - Weihang Ding, Zhaohui Yang, Mingzhe Chen, Yuchen Liu, Mohammad Shikh-Bahaei:
Joint Vehicle Connection and Beamforming Optimization in Digital Twin Assisted Integrated Sensing and Communication Vehicular Networks. - Congqi Cao, Yueran Zhang, Yating Yu, Qinyi Lv, Lingtong Min, Yanning Zhang:
Task-Adapter: Task-specific Adaptation of Image Models for Few-shot Action Recognition. - Ohay Angah, James Enouen, Xuegang Ban, Yan Liu:
Discovering Car-following Dynamics from Trajectory Data through Deep Learning. - Tapan Srivastava, Raul Castro Fernandez:
Saving Money for Analytical Workloads in the Cloud. - Zhenyu Bao, Guibiao Liao, Kaichen Zhou, Kanglin Liu, Qing Li, Guoping Qiu:
LoopSparseGS: Loop Based Sparse-View Friendly Gaussian Splatting. - Yiran Xu, Nan Zhong, Zhenxing Qian, Xinpeng Zhang:
Revocable Backdoor for Deep Model Trading. - Xueying Gu, Qiong Wu, Pingyi Fan, Qiang Fan:
Mobility-Aware Federated Self-supervised Learning in Vehicular Network. - Zhe Huang, Shuo Wang, Yongcai Wang, Wanting Li, Deying Li, Lei Wang:
RoCo:Robust Collaborative Perception By Iterative Object Matching and Pose Adjustment. - Zihao Ye, Jaehoon Cho, Changjae Oh:
Improving Image De-raining Using Reference-Guided Transformers. - Jim de Groot, Ian Shillito, Ranald Clouston:
Semantical Analysis of Intuitionistic Modal Logics between CK and IK. - Bin Xiao, Lujun Gui, Lei Su, Weipeng Chen:
Clover-2: Accurate Inference for Regressive Lightweight Speculative Decoding. - Wenshan Wang, Yihang Wang, Yixing Fan, Huaming Liao, Jiafeng Guo:
QUITO: Accelerating Long-Context Reasoning through Query-Guided Context Compression. - Zhaohong Liu, Wenxuan Gao, Yinshuai Sun, Peng Dong:
A Reinforcement Learning Based Motion Planner for Quadrotor Autonomous Flight in Dense Environment. - Xiang Fu, Xinpeng Zhang, Jixiang Ma, Peng Zhao, Shuai Lu, Xu T. Liu:
High Performance Im2win and Direct Convolutions using Three Tensor Layouts on SIMD Architectures. - Yesheng Zhang, Xu Zhao:
DMESA: Densely Matching Everything by Segmenting Anything. - Yanchen Li, Jiachun Li, Kebin Sun, Luziwei Leng, Ran Cheng:
Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion. - Surbhi Mittal, Arnav Sudan, Mayank Vatsa, Richa Singh, Tamar Glaser, Tal Hassner:
Navigating Text-to-Image Generative Bias across Indic Languages. - Xinhan Di, Zihao Chen, Yunming Liang, Junjie Zheng, Yihua Wang, Chaofan Ding:
Bailing-TTS: Chinese Dialectal Speech Synthesis Towards Human-like Spontaneous Representation. - Jiacheng Deng, Jiahao Lu, Tianzhu Zhang:
Diff3DETR:Agent-based Diffusion Model for Semi-supervised 3D Object Detection. - Fuxiang Huang, Suqi Song, Lei Zhang:
Gradient Harmonization in Unsupervised Domain Adaptation. - Bin Cheng, Jiaxuan Lu:
Multi-Modal Parameter-Efficient Fine-tuning via Graph Neural Network. - Sachin Pathiyan Cherumanal, Ujwal Gadiraju, Damiano Spina:
Everything We Hear: Towards Tackling Misinformation in Podcasts. - Tadashi Wadayama, Lantian Wei:
Gradient Flow Decoding. - Lu Ou, Shaolin Liao, Shihui Gao, Guandong Huang, Zheng Qin:
RDP: Ranked Differential Privacy for Facial Feature Protection in Multiscale Sparsified Subspace. - Yuntao Shou, Haozhi Lan, Xiangyong Cao:
Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck. - Yuxiao He, Yiyu Zhuang, Yanwen Wang, Yao Yao, Siyu Zhu, Xiaoyu Li, Qi Zhang, Xun Cao, Hao Zhu:
Head360: Learning a Parametric 3D Full-Head for Free-View Synthesis in 360°. - Qianyun He, Xinya Ji, Yicheng Gong, Yuanxun Lu, Zhengyu Diao, Linjia Huang, Yao Yao, Siyu Zhu, Zhan Ma, Songcen Xu, Xiaofei Wu, Zixiao Zhang, Xun Cao, Hao Zhu:
EmoTalk3D: High-Fidelity Free-View Synthesis of Emotional 3D Talking Head. - Ragav Sachdeva, Gyungin Shin, Andrew Zisserman:
Tails Tell Tales: Chapter-Wide Manga Transcriptions with Character Names. - Huishan Ji, Qingyi Si, Zheng Lin, Weiping Wang:
Towards Flexible Evaluation for Generative Visual Question Answering. - Ruichen Zheng, Tao Yu:
Neural Octahedral Field: Octahedral prior for simultaneous smoothing and sharp edge regularization. - Po Chai Wong, Eric T. Chung, Changqing Ye, Lina Zhao:
Constraint Energy Minimizing Generalized Multiscale Finite Element Method for Convection Diffusion Equations with Inhomogeneous Boundary Conditions. - Yi Bin, Junrong Liao, Yujuan Ding, Haoxuan Li, Yang Yang, See-Kiong Ng, Heng Tao Shen:
Leveraging Weak Cross-Modal Guidance for Coherence Modelling via Iterative Learning. - Gareth Seneque, Lap-Hang Ho, Ariel Kuperman, Nafise Erfanian Saeedi, Jeffrey Molendijk:
ABC Align: Large Language Model Alignment for Safety & Accuracy. - Peaker Guo, Seeun William Umboh, Anthony Wirth, Justin Zobel:
Online Computation of String Net Frequency. - Yuanyang Zhu, Zhi Wang, Yuanheng Zhu, Chunlin Chen, Dongbin Zhao:
Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning. - Haoran Xu, Peter W. Glynn, Yinyu Ye:
Online Linear Programming with Batching. - Aiman Farooq, Deepak Mishra, Santanu Chaudhury:
Translating Imaging to Genomics: Leveraging Transformers for Predictive Modeling. - Sejoon Oh, Gaurav Verma, Srijan Kumar:
Adversarial Text Rewriting for Text-aware Recommender Systems. - Xiao Li, Wenxuan Sun, Huanran Chen, Qiongxiu Li, Yining Liu, Yingzhe He, Jie Shi, Xiaolin Hu:
ADBM: Adversarial diffusion bridge model for reliable adversarial purification. - Ganesh Ghalme, Reshef Meir:
Condorcet's Jury Theorem with Abstention. - Kun Li, Kai Zhao, Yongduan Song, Lihua Xie:
A Novel Edge Laplacian-based Approach for Adaptive Formation Control of Uncertain Multi-agent Systems with Unified Relative Error Performance. - Haoqin Sun, Shiwan Zhao, Xiangyu Kong, Xuechen Wang, Hui Wang, Jiaming Zhou, Yong Qin:
Iterative Prototype Refinement for Ambiguous Speech Emotion Recognition. - Hyunsoo Chung, Jungtaek Kim, Hyungeun Jo, Hyungwon Choi:
Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity. - Yun-Chih Chen, Yuan-Hao Chang, Tei-Wei Kuo:
Search-in-Memory (SiM): Reliable, Versatile, and Efficient Data Matching in SSD's NAND Flash Memory Chip for Data Indexing Acceleration. - Timo Brogle, Andrej Vladimirovic Ermoshkin, Konstantin Vakhutinskiy, Sven Priewe, Claas Wittig, Anna-Lena Meiners, Kathrin Gerling, Dmitry Alexandrovsky:
Leveraging Virtual Reality Simulation to Engage Non-Disabled People in Reflection on Access Barriers for Disabled People. - Kuo Gai, Sicong Wang, Shihua Zhang:
OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack. - Marco Favier, Toon Calders:
"Patriarchy Hurts Men Too." Does Your Model Agree? A Discussion on Fairness Assumptions. - Rakshith Subramanyam, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan:
DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation. - Xiaotong Liu, Binglu Wang, Zhijun Li:
Vision-based Wearable Steering Assistance for People with Impaired Vision in Jogging. - Yiheng Huang, Junhong Chen, Nick Michiels, Muhammad Asim, Luc Claesen, Wenyin Liu:
DistillGrasp: Integrating Features Correlation with Knowledge Distillation for Depth Completion of Transparent Objects. - Arkaprava Sain, Sunandan Adhikary, Ipsita Koley, Soumyajit Dey:
MAARS: Multi-Rate Attack-Aware Randomized Scheduling for Securing Real-time Systems. - Moritz Meser, Aditya Bhatt, Boris Belousov, Jan Peters:
MuJoCo MPC for Humanoid Control: Evaluation on HumanoidBench. - Philipp Schoch, Fan Yang, Yuntao Ma, Stefan Leutenegger, Marco Hutter, Quentin Leboutet:
IN-Sight: Interactive Navigation through Sight. - Carlos Hernandez-Olivan, Marc Delcroix, Tsubasa Ochiai, Naohiro Tawara, Tomohiro Nakatani, Shoko Araki:
Interaural time difference loss for binaural target sound extraction. - Houye Ji, Ye Tang, Zhaoxin Chen, Lixi Deng, Jun Hu, Lei Su:
Neural Graph Matching for Video Retrieval in Large-Scale Video-driven E-commerce. - Sungmin Kang, Jaeha Song, Jihie Kim:
Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer. - Angona Biswas, Md Abdullah Al Nasim, Kishor Datta Gupta, Roy George, Abdur Rashid:
Securing the Diagnosis of Medical Imaging: An In-depth Analysis of AI-Resistant Attacks. - Yuhang Li, Xin Dong, Chen Chen, Weiming Zhuang, Lingjuan Lyu:
A Simple Background Augmentation Method for Object Detection with Diffusion Model. - Subin Jeon, In Cho, Minsu Kim, Woong Oh Cho, Seon Joo Kim:
Hierarchically Structured Neural Bones for Reconstructing Animatable Objects from Casual Videos. - Honglei Miao, Fan Ma, Ruijie Quan, Kun Zhan, Yi Yang:
Autonomous LLM-Enhanced Adversarial Attack for Text-to-Motion. - Yu Xie, Qian Qiao, Jun Gao, Tianxiang Wu, Shaoyao Huang, Jiaqing Fan, Ziqiang Cao, Zili Wang, Yue Zhang, Jielei Zhang, Huyang Sun:
DNTextSpotter: Arbitrary-Shaped Scene Text Spotting via Improved Denoising Training. - Nan Xie, Yuelin Bai, Hengyuan Gao, Feiteng Fang, Qixuan Zhao, Zhijian Li, Ziqiang Xue, Liang Zhu, Shiwen Ni, Min Yang:
DeliLaw: A Chinese Legal Counselling System Based on a Large Language Model. - Jy-yong Sohn, Dohyun Kwon, Seoyeon An, Kangwook Lee:
Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks. - Wencheng Han, Jianbing Shen:
High-Precision Self-Supervised Monocular Depth Estimation with Rich-Resource Prior. - Hai Yu, Chong Deng, Qinglin Zhang, Jiaqing Liu, Qian Chen, Wen Wang:
Multimodal Fusion and Coherence Modeling for Video Topic Segmentation. - Fan Zhang, Naye Ji, Fuxing Gao, Bozuo Zhao, Jingmei Wu, Yanbing Jiang, Hui Du, Zhenqing Ye, Jiayang Zhu, WeiFan Zhong, Leyao Yan, Xiaomeng Ma:
DiM-Gesture: Co-Speech Gesture Generation with Adaptive Layer Normalization Mamba-2 framework. - Qingfeng Shi, Jing Wei, Fei Shen, Zhengtao Zhang:
Few-shot Defect Image Generation based on Consistency Modeling. - Xi Chen, Rahul Bhadani, Larry Head:
Conformal Trajectory Prediction with Multi-View Data Integration in Cooperative Driving. - Shiji Zhou, Lianzhe Wang, Jiangnan Ye, Yongliang Wu, Heng Chang:
On the Limitations and Prospects of Machine Unlearning for Generative AI. - Yuxiang Wei, Anees Abrol, James J. Lah, Deqiang Qiu, Vince D. Calhoun:
A deep spatio-temporal attention model of dynamic functional network connectivity shows sensitivity to Alzheimer's in asymptomatic individuals. - Juseung Yun, Yi Hu, Jinhyung Kim, Jongseong Jang, Soonyoung Lee:
EXAONEPath 1.0 Patch-level Foundation Model for Pathology. - Yanxi Zhang, Mingwu Yao, Qinghai Yang, Dongqi Yan, Xu Zhang, Xu Bao, Muyu Mei:
Statistical AoI Guarantee Optimization for Supporting xURLLC in ISAC-enabled V2I Networks. - Nelvin Tan, Pablo Pascual Cobo, Ramji Venkataramanan:
Quantitative Group Testing and Pooled Data in the Linear Regime with Sublinear Tests. - Johannes Schneider:
What comes after transformers? - A selective survey connecting ideas in deep learning. - Irene Amerini, Mauro Barni, Sebastiano Battiato, Paolo Bestagini, Giulia Boato, Tania Sari Bonaventura, Vittoria Bruni, Roberto Caldelli, Francesco G. B. De Natale, Rocco De Nicola, Luca Guarnera, Sara Mandelli, Gian Luca Marcialis, Marco Micheletto, Andrea Montibeller, Giulia Orrù, Alessandro Ortis, Pericle Perazzo, Giovanni Puglisi, Davide Salvi, Stefano Tubaro, Claudia Melis Tonti, Massimo Villari, Domenico Vitulano:
Deepfake Media Forensics: State of the Art and Challenges Ahead. - Lise-Marie Imbert-Gérard, Andrea Moiola, Chiara Perinati, Paul Stocker:
Polynomial quasi-Trefftz DG for PDEs with smooth coefficients: elliptic problems. - Cansu Betin Onur:
A Zero-Knowledge Proof of Knowledge for Subgroup Distance Problem. - Amanda E. Diegel, Xuejian Li, Leo G. Rebholz:
Analysis of continuous data assimilation with large (or even infinite) nudging parameters. - Armel Zebaze, Benoît Sagot, Rachel Bawden:
In-Context Example Selection via Similarity Search Improves Low-Resource Machine Translation. - Sam Coy, Artur Czumaj, Gopinath Mishra, Anish Mukherjee:
Log Diameter Rounds MST Verification and Sensitivity in MPC. - Alexandre Trilla, Nenad Mijatovic:
Unsupervised Pairwise Causal Discovery on Heterogeneous Data using Mutual Information Measures. - Fanping Du, Pingfang Du:
Micro frequency hopping spread spectrum modulation and encryption technology. - Zhe Wang, Yansha Deng:
Task-oriented and Semantics-aware Communications for Augmented Reality. - Joel Witzke, Ansgar Lößer, Vasilis Bountris, Florian Schintke, Björn Scheuermann:
Low-level I/O Monitoring for Scientific Workflows. - Size Peng, Cixiao Zhang, Yin Xu, Qingqing Wu, Xiaowu Ou, Dazhi He:
Joint Antenna Position and Beamforming Optimization with Self-Interference Mitigation in MA-ISAC System. - Xuemeng Yang, Licheng Wen, Yukai Ma, Jianbiao Mei, Xin Li, Tiantian Wei, Wenjie Lei, Daocheng Fu, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yong Liu, Yu Qiao:
DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving. - Christian Gramsch, Shishan Yang, Hosam Alqaderi:
A Batch Update Using Multiplicative Noise Modelling for Extended Object Tracking. - Zhenbang Du, Wei Feng, Haohan Wang, Yaoyu Li, Jingsen Wang, Jian Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junsheng Jin, Junjie Shen, Zhangang Lin, Jingping Shao:
Towards Reliable Advertising Image Generation Using Human Feedback. - Wenqing Gan, Yan Sun, Feiran Liu, Xiangfeng Luo:
MPT-PAR:Mix-Parameters Transformer for Panoramic Activity Recognition. - Alex G. C. de Sá, David B. Ascher:
Towards Evolutionary-based Automated Machine Learning for Small Molecule Pharmacokinetic Prediction. - Thorben Werner, Johannes Burchert, Maximilian Stubbemann, Lars Schmidt-Thieme:
A Cross-Domain Benchmark for Active Learning. - Thiziri Nait Saada, Valentina Di Proietto, Benoit Schmauch, Katharina von Loga, Lucas Fidon:
CARMIL: Context-Aware Regularization on Multiple Instance Learning models for Whole Slide Images. - Riccardo Felici, Laura Pozzi, Carlo A. Furia:
ShellFuzzer: Grammar-based Fuzzing of Shell Interpreters. - M. Mehdi Kholoosi, Muhammad Ali Babar, Roland Croft:
A Qualitative Study on Using ChatGPT for Software Security: Perception vs. Practicality. - Youjia Fu, Zihao Xu, Junsong Fu, Huixia Xue, Shuqiu Tan, Lei Li:
MonoMM: A Multi-scale Mamba-Enhanced Network for Real-time Monocular 3D Object Detection. - Rodrigo Laigner, Ana Carolina Almeida, Wesley K. G. Assunção, Yongluan Zhou:
An Empirical Study on Challenges of Event Management in Microservice Architectures. - Gangyan Zeng, Yuan Zhang, Jin Wei, Dongbao Yang, Peng Zhang, Yiwen Gao, Xugong Qin, Yu Zhou:
Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text Retrieval. - Luigi Coppolino, Salvatore D'Antonio, Davide Iasio, Giovanni Mazzeo, Luigi Romano:
An Experimental Evaluation of TEE technology Evolution: Benchmarking Transparent Approaches based on SGX, SEV, and TDX. - Mathieu d'Aquin, Emmanuel Nauer:
Ontological Relations from Word Embeddings. - Chengbo Zheng, Yuanhao Zhang, Zeyu Huang, Chuhan Shi, Minrui Xu, Xiaojuan Ma:
DiscipLink: Unfolding Interdisciplinary Information Seeking Process via Human-AI Co-Exploration. - Sudhakar Chaudhary, Shreya Chauhan, Monica Montardini:
Space-Time Isogeometric Method for a Nonlocal Parabolic Problem. - Manuel Kansy, Jacek Naruniec, Christopher Schroers, Markus Gross, Romann M. Weber:
Reenact Anything: Semantic Video Motion Transfer Using Motion-Textual Inversion. - Jude Haris, Rappy Saha, Wenhao Hu, José Cano:
Designing Efficient LLM Accelerators for Edge Devices. - Sergio Moreschi, David Hästbacka, Andrea Janes, Valentina Lenarduzzi, Davide Taibi:
Initial Insights on MLOps: Perception and Adoption by Practitioners. - Guokai Li, Zizhuo Wang, Jingwei Zhang:
Infrequent Resolving Algorithm for Online Linear Programming. - Jiancong Feng, Yuan-Gen Wang, Mingjie Li, Fengchuang Xing:
Image Super-Resolution with Taylor Expansion Approximation and Large Field Reception. - Pedro Ramoneda, Vsevolod Eremenko, Alexandre D'Hooge, Emilia Parada-Cabaleiro, Xavier Serra:
Towards Explainable and Interpretable Musical Difficulty Estimation: A Parameter-efficient Approach. - Abdulelah Al Hanif, Mohammad Ilyas:
Enhance the Detection of DoS and Brute Force Attacks within the MQTT Environment through Feature Engineering and Employing an Ensemble Technique. - Bolin Zhang, Zhiwei Yi, Jiahao Wang, Dianbo Sui, Zhiying Tu, Dianhui Chu:
HBot: A Chatbot for Healthcare Applications in Traditional Chinese Medicine Based on Human Body 3D Visualization. - Chongsheng Zhang, George Almpanidis, Gaojuan Fan, Binquan Deng, Yanbo Zhang, Ji Liu, Aouaidjia Kamel, Paolo Soda, João Gama:
A Systematic Review on Long-Tailed Learning. - Ze Wang, Yang Li, Long Xu, Hao Shi, Zunwang Ma, Zhen Chu, Chao Li, Fei Gao, Kailun Yang, Kaiwei Wang:
SF-TIM: A Simple Framework for Enhancing Quadrupedal Robot Jumping Agility by Combining Terrain Imagination and Measurement. - Xuelei Lin, Congcong Li, Sean Y. Hon:
Absolute-value based preconditioner for complex-shifted Laplacian systems. - Xin Zuo, Yu Sheng, Jifeng Shen, Yongwei Shan:
Multi-label Sewer Pipe Defect Recognition with Mask Attention Feature Enhancement and Label Correlation Learning. - Chu Zhao, Enneng Yang, Yuliang Liang, Pengxiang Lan, Yuting Liu, Jianzhe Zhao, Guibing Guo, Xingwei Wang:
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation. - Yi Bin, Wenhao Shi, Yujuan Ding, Zhiqiang Hu, Zheng Wang, Yang Yang, See-Kiong Ng, Heng Tao Shen:
GalleryGPT: Analyzing Paintings with Large Multimodal Models. - Alessio Borriero, Martina Milazzo, Matteo Diano, Davide Orsenigo, Maria-Chiara Villa, Chiara Di Fazio, Marco Tamietto, Alan Perotti:
Explainable Emotion Decoding for Human and Computer Vision. - Ji Yin, Panagiotis Tsiotras, Karl Berntorp:
Chance-Constrained Information-Theoretic Stochastic Model Predictive Control with Safety Shielding. - Shengbo Tan, Zeyu Zhang, Ying Cai, Daji Ergu, Lin Wu, Binbin Hu, Pengzhang Yu, Yang Zhao:
SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation. - Loïc Michel, Jean-Pierre Barbot:
A note about high-order semi-implicit differentiation: application to a numerical integration scheme with Taylor-based compensated error. - Malitha Gunawardhana, Limalka Sadith, Liel David, Daniel Harari, Muhammad Haris Khan:
How Effective are Self-Supervised Models for Contact Identification in Videos. - Ronan Mouchoux, François Moerman:
To Change Or To Stick: Unveiling The Consistency Of Cyber Criminal Signatures Through Statistical Analysis. - Christoph Dorner, Lukas Daniel Klausner:
If It Looks Like a Rootkit and Deceives Like a Rootkit: A Critical Examination of Kernel-Level Anti-Cheat Systems. - Asmar Muqeet, Shaukat Ali, Paolo Arcaini:
Quantum Program Testing Through Commuting Pauli Strings on IBM's Quantum Computers. - Omri Herscovici, Omer Gull:
Hacked in Translation - from Subtitles to Complete Takeover. - Florian Dietz, Dietrich Klakow:
Block-Operations: Using Modular Routing to Improve Compositional Generalization. - Jonathan Stollberg, Tarun Gangwar, Oliver Weeger, Dominik Schillinger:
Multiscale topology optimization of functionally graded lattice structures based on physics-augmented neural network material models. - Bendong Tan, Jiangkai Peng, Ningchao Gao, Junbo Zhao, Jin Tan:
Comparative Study of Data-driven Area Inertia Estimation Approaches on WECC Power Systems. - Xian Li, Yuanning Han, Di Liu, Pengcheng An, Shuo Niu:
FlowGPT: Exploring Domains, Output Modalities, and Goals of Community-Generated AI Chatbots. - Fei Xiao, Shaofeng Cai, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang:
VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection. - Alexandru Vasilache, Sven Nitzsche, Daniel Flögel, Tobias Schürmann, Stefan von Dosky, Thomas Bierweiler, Marvin Mußler, Florian Kälber, Sören Hohmann, Jürgen Becker:
Low-Power Vibration-Based Predictive Maintenance for Industry 4.0 using Neural Networks: A Survey. - Mengdan Fan, Wei Zhang, Haiyan Zhao, Zhi Jin:
A new approach for encoding code and assisting code understanding. - Yingkai Dong, Zheng Li, Xiangtao Meng, Ning Yu, Shanqing Guo:
Jailbreaking Text-to-Image Models with LLM-Based Agents. - Zhongyu Huang, Changde Du, Chaozhuo Li, Kaicheng Fu, Huiguang He:
Identifying the Hierarchical Emotional Areas in the Human Brain Through Information Fusion. - Johannes J. Pienaar, Anna S. Bosman, Katherine M. Malan:
Hilbert curves for efficient exploratory landscape analysis neighbourhood sampling. - Jakob Träuble, Lucy V. Hiscox, Curtis L. Johnson, Carola-Bibiane Schönlieb, Gabriele Kaminski Schierle, Angelica I. Avilés-Rivero:
Contrastive Learning with Dynamic Localized Repulsion for Brain Age Prediction on 3D Stiffness Maps. - Max Klabunde, Tassilo Wald, Tobias Schumacher, Klaus H. Maier-Hein, Markus Strohmaier, Florian Lemmerich:
ReSi: A Comprehensive Benchmark for Representational Similarity Measures. - Chiara Giovannini, Alessio Fumagalli, Francesco Patacchini:
Predicting nonlinear-flow regions in highly heterogeneous porous media using adaptive constitutive laws and neural networks. - Thales Bertaglia, Catalina Goanta, Adriana Iamnitchi:
The Monetisation of Toxicity: Analysing YouTube Content Creators and Controversy-Driven Engagement. - Jian Li, Bowen Xu, Sören Schwertfeger:
High-Quality, ROS Compatible Video Encoding and Decoding for High-Definition Datasets. - Mingcong Lu, Jiangcai Zhu, Wang Hao, Zheng Li, Shusheng Zhang, Kailai Shao, Chao Chen, Nan Li, Feng Wang, Xin Lu:
Intermittent Semi-working Mask: A New Masking Paradigm for LLMs. - Shih-Kai Chou, Jernej Hribar, Mihael Mohorcic, Carolina Fortuna:
The Energy Cost of Artificial Intelligence of Things Lifecycle. - Okko Makkonen, David A. Karpuk, Camilla Hollanti:
Secret Sharing for Secure and Private Information Retrieval: A Construction Using Algebraic Geometry Codes. - Felipe Rodrigues Perche Mahlow, André Felipe Zanella, William Alberto Cruz Castañeda, Regilene Aparecida Sarzi Ribeiro:
Illustrating Classic Brazilian Books using a Text-To-Image Diffusion Model. - Yuxin Lin, Jiaxuan Ma, Sizhe Gu, Jipeng Kong, Bowen Xu, Xiting Zhao, Dengji Zhao, Wenhan Cao, Sören Schwertfeger:
Collecting Larg-Scale Robotic Datasets on a High-Speed Mobile Platform. - Oleksii Kachaiev, Stefano Recanatesi:
Learning to Embed Distributions via Maximum Kernel Entropy. - Xiaoye Qu, Mingyang Song, Wei Wei, Jianfeng Dong, Yu Cheng:
Mitigating Multilingual Hallucination in Large Vision-Language Models. - Wilson de Souza Junior, David William Marques Guerra, José Carlos Marinello, Taufik Abrão, Ekram Hossain:
Manifold-Based Optimizations for RIS-Aided Massive MIMO Systems. - Xiaoye Qu, Qiyuan Chen, Wei Wei, Jishuo Sun, Jianfeng Dong:
Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation. - Diego Arroyuelo, Fabrizio Barisione, Antonio Fariña, Adrián Gómez-Brandón, Gonzalo Navarro:
New Compressed Indices for Multijoins on Graph Databases. - José G. López-Salas, Soledad Pérez-Rodríguez, Carlos Vázquez:
AMFR-W numerical methods for solving high dimensional SABR/LIBOR PDE models. - Xiangyuan Peng, Miao Tang, Huawei Sun, Kay Bierzynski, Lorenzo Servadei, Robert Wille:
MUFASA: Multi-View Fusion and Adaptation Network with Spatial Awareness for Radar Object Detection. - Cephas Mpungu, Carlisle George, Glenford Mapp:
Enhancing Digital Forensics Readiness In Big Data Wireless Medical Networks: A Secure Decentralised Framework. - Xianliang Xu, Ting Du, Wang Kong, Ye Li, Zhongyi Huang:
Convergence Analysis of Natural Gradient Descent for Over-parameterized Physics-Informed Neural Networks. - Thanh-Luan Nguyen, Georges Kaddoum:
Fluctuating Line-of-Sight Fading Distribution: Statistical Characterization and Applications. - Martin Redmann:
Dimension reduction for large-scale stochastic systems with non-zero initial states and controlled diffusion. - Gabriele Sarti, Tommaso Caselli, Malvina Nissim, Arianna Bisazza:
Non Verbis, Sed Rebus: Large Language Models are Weak Solvers of Italian Rebuses. - Gongbo Zhang, Qiao Jin, Yiliang Zhou, Song Wang, Betina Ross S. Idnay, Yiming Luo, Elizabeth Park, Jordan G. Nestor, Matthew E. Spotnitz, Ali Soroush, Thomas Campion, Zhiyong Lu, Chunhua Weng, Yifan Peng:
Closing the gap between open-source and commercial large language models for medical evidence summarization. - Michael Rudolph, Aron Riemenschneider, Amr Rizk:
Learned Compression of Point Cloud Geometry and Attributes in a Single Model through Multimodal Rate-Control. - Thanh-Luan Nguyen, Georges Kaddoum, Tri Nhu Do, Zygmunt J. Haas:
Ground-to-UAV and RIS-assisted UAV-to-Ground Communication Under Channel Aging: Statistical Characterization and Outage Performance. - Dayin Chen, Xiaodan Shi, Mingkun Jiang, Haoran Zhang, Dongxiao Zhang, Yuntian Chen, Jinyue Yan:
AutoPV: Automatically Design Your Photovoltaic Power Forecasting Model. - Tongtong Feng, Xin Wang, Feilin Han, Leping Zhang, Wenwu Zhu:
U2UData: A Large-scale Cooperative Perception Dataset for Swarm UAVs Autonomous Flight. - Yuhao Zhou, Pokuang Zhou, Shaoxiong Wang, Yu She:
In-Hand Singulation and Scooping Manipulation with a 5 DOF Tactile Gripper. - Ria Patel, Sujit Tripathy, Zachary Sublett, Seoyoung An, Riya Patel:
Using CSNNs to Perform Event-based Data Processing & Classification on ASL-DVS. - (Withdrawn) Downstream bias mitigation is all you need.
- Amruta Mahuli, Asia Biega:
Unlocking Fair Use in the Generative AI Supply Chain: A Systematized Literature Review. - Ruiyang Zhang, Hu Zhang, Hang Yu, Zhedong Zheng:
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection. - Bozhou Li, Hao Liang, Zimo Meng, Wentao Zhang:
Are Bigger Encoders Always Better in Vision Large Models? - Jiahe Cao, Qiang Liu, Dawei Chen, Kyungtae Han:
CAVE: Crowdsourcing Passing-By Vehicles for Reliable In-Vehicle Edge Computing. - Haoming Wang:
Factorization of a prime matrix in even blocks. - Wenzhe Tian, Haijin Zeng, Yin-Ping Zhao, Yongyong Chen, Zhen Wang, Xuelong Li:
Empowering Snapshot Compressive Imaging: Spatial-Spectral State Space Model with Across-Scanning and Local Enhancement. - Guillermo Villar-Rodríguez, Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho:
DisTrack: a new Tool for Semi-automatic Misinformation Tracking in Online Social Networks. - Michael Baur, Nurettin Turan, Simon Wallner, Wolfgang Utschick:
Evaluation Metrics and Methods for Generative Models in the Wireless PHY Layer. - Xiaoyi Liu, Zhuoyue Wang:
Deep Learning in Medical Image Classification from MRI-based Brain Tumor Images. - Wen Fan, Haoran Li, Dandan Zhang:
CrystalTac: 3D-Printed Vision-Based Tactile Sensor Family through Rapid Monolithic Manufacturing Technique. - Francesco Di Salvo, David Tafler, Sebastian Doerrich, Christian Ledig:
Privacy-preserving datasets by capturing feature distributions with Conditional VAEs. - Chenxiang Jin, Jiajun Zhou, Chenxuan Xie, Shanqing Yu, Qi Xuan, Xiaoniu Yang:
Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervision. - Linh Nguyen:
Coverage Path Planning For Minimizing Expected Time to Search For an Object With Continuous Sensing. - Xuri Ge, Junchen Fu, Fuhai Chen, Shan An, Nicu Sebe, Joemon M. Jose:
Towards End-to-End Explainable Facial Action Unit Recognition via Vision-Language Joint Learning. - Shayan Hashemi, Mika Mäntylä:
Token Interdependency Parsing (Tipping) - Fast and Accurate Log Parsing. - Nuno C. Martins, Jair Certório, Matthew S. Hankins:
Counterclockwise Dissipativity, Potential Games and Evolutionary Nash Equilibrium Learning. - Fang Wang, Ting Bu, Yuping Huang:
Enhancing Multistep Prediction of Multivariate Market Indices Using Weighted Optical Reservoir Computing. - Mark Boss, Zixuan Huang, Aaryaman Vasishta, Varun Jampani:
SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement. - Hongjun An, Yifan Chen, Zhe Sun, Xuelong Li:
SentenceVAE: Enable Next-sentence Prediction for Large Language Models with Faster Speed, Higher Accuracy and Longer Context. - Charles O'Neill, Christine Ye, Kartheik Iyer, John F. Wu:
Disentangling Dense Embeddings with Sparse Autoencoders. - Yaming Yang, Zhe Wang, Ziyu Guan, Wei Zhao, Weigang Lu, Xinyan Huang:
Aligning Multiple Knowledge Graphs in a Single Pass. - Daqin Luo, Chengjian Feng, Yuxuan Nong, Yiqing Shen:
AutoM3L: An Automated Multimodal Machine Learning Framework with Large Language Models. - Matthias Ehrhardt, Chunxiong Zheng:
Absorbing Boundary Conditions for Variable Potential Schrödinger Equations via Titchmarsh-Weyl Theory. - Kumar Ashutosh, Tushar Nagarajan, Georgios Pavlakos, Kris Kitani, Kristen Grauman:
ExpertAF: Expert Actionable Feedback from Video. - Shailendra Bhandari, Pedro Lincastre, Pedro G. Lind:
Modeling stochastic eye tracking data: A comparison of quantum generative adversarial networks and Markov models. - Andrea Poltronieri, Valentina Presutti, Martín Rocamora:
ChordSync: Conformer-Based Alignment of Chord Annotations to Music Audio. - Huajian Zhang, Laura Perez-Beltrachini:
Leveraging Entailment Judgements in Cross-Lingual Summarisation. - Mustafa Cavus, Jakub Kuzilek:
An effect analysis of the balancing techniques on the counterfactual explanations of student success prediction models. - Ryo Nakamura, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka:
Scaling Backwards: Minimal Synthetic Pre-training? - Nicole Orzan, Erman Acar, Davide Grossi, Patrick Mannion, Roxana Radulescu:
Learning in Multi-Objective Public Goods Games with Non-Linear Utilities. - Anubhab Majumder, Ujjwal Pal, Amaresh Chakrabarti:
Assessing the Variety of a Concept Space Using an Unbiased Estimate of Rao's Quadratic Index. - Hans-Alexander Kruse, Tim Puhlfürß, Walid Maalej:
Can Developers Prompt? A Controlled Experiment for Code Documentation Generation. - Eduardo Graells-Garrido, Matías Toro, Gabriel Mansilla, Matías Nicolai, Santiago Mansilla, Jocelyn Dunstan:
Speed Limit Reduction Enhances Urban Worker Safety: Evidence from a Decade of Traffic Incidents in Santiago, Chile. - Chris Verhoek, Roland Tóth:
Kernel-based multi-step predictors for data-driven analysis and control of nonlinear systems through the velocity form. - Trapoom Ukarapol, Zhicheng Lee, Amy Xin:
Improving Text Embeddings for Smaller Language Models Using Contrastive Fine-tuning. - Zeyu Liao, Ken Hayami:
Convergence analysis of inner-iteration preconditioned GMRES. - Divya Shyam Singh, Leon Herrmann, Qing Sun, Tim Bürchner, Felix Dietrich, Stefan Kollmannsberger:
Accelerating Full Waveform Inversion By Transfer Learning. - Lixi Zhao, Weiping Ding, Duoqian Miao, Guangming Lang:
Granular-Balls based Fuzzy Twin Support Vector Machine for Classification. - Tianmeng Yang, Jiahao Meng, Min Zhou, Yaming Yang, Yujing Wang, Xiangtai Li, Yunhai Tong:
You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning. - Camilo Vargas, Qianni Zhang, Ebroul Izquierdo:
Joint Neural Networks for One-shot Object Recognition and Detection. - Mariyam Mahboob, Mohammed Rayyan Uddin Ahmed, Zoiba Zia, Mariam Shakeel Ali, Ayman Khaleel Ahmed:
Future of Artificial Intelligence in Agile Software Development. - Hieu Huynh, Nhu Pham, Tien N. Nguyen, Vu Nguyen:
Segment-Based Test Case Prioritization: A Multi-objective Approach. - Xiaofeng Liu, Jonghye Woo, Chao Ma, Jinsong Ouyang, Georges El Fakhri:
Point-supervised Brain Tumor Segmentation with Box-prompted MedSAM. - Matias Oscar Volman Stern, Dominic Hohs, Andreas Jansche, Timo Bernthaler, Gerhard Schneider:
Synthetic dual image generation for reduction of labeling efforts in semantic segmentation of micrographs with a customized metric function. - Nikos Athanasiou, Alpár Cseke, Markos Diomataris, Michael J. Black, Gül Varol:
MotionFix: Text-Driven 3D Human Motion Editing. - Edward James Young, Alistair Rogers, Elliott Tong, James Jordon:
Reinforcement Learning applied to Insurance Portfolio Pursuit. - Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloé Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan Vasudev Alwala, Nicolas Carion, Chao-Yuan Wu, Ross B. Girshick, Piotr Dollár, Christoph Feichtenhofer:
SAM 2: Segment Anything in Images and Videos. - Lavrentia Aravani, Emmanuel Pintelas, Christos Pierrakeas, Panagiotis Pintelas:
A Natural Language Processing Framework for Hotel Recommendation Based on Users' Text Reviews. - Sunder Ali Khowaja, Parus Khuwaja, Kapal Dev, Hussam M. N. Al Hamadi, Engin Zeydan:
Pathway to Secure and Trustworthy 6G for LLMs: Attacks, Defense, and Opportunities. - Yangzhen Wu, Zhiqing Sun, Shanda Li, Sean Welleck, Yiming Yang:
An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models. - Guangzhi Xiong, Qiao Jin, Xiao Wang, Minjia Zhang, Zhiyong Lu, Aidong Zhang:
Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions. - Zhuoqun Huang, Neil G. Marchant, Olga Ohrimenko, Benjamin I. P. Rubinstein:
CERT-ED: Certifiably Robust Text Classification for Edit Distance. - Qi Pei, Yipeng Wang, Seunghee Shin:
Litmus: Fair Pricing for Serverless Computing. - Gilad Deutch, Rinon Gal, Daniel Garibi, Or Patashnik, Daniel Cohen-Or:
TurboEdit: Text-Based Image Editing Using Few-Step Diffusion Models. - Eric Zimmermann, Eugene Vorontsov, Julian Viret, Adam Casson, Michal Zelechowski, George Shaikovski, Neil A. Tenenholtz, James Brian Hall, David S. Klimstra, Razik Yousfi, Thomas J. Fuchs, Nicoló Fusi, Siqi Liu, Kristen Severson:
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology. - Jovan Stojkovic, Chaojie Zhang, Íñigo Goiri, Josep Torrellas, Esha Choukse:
DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency. - Siyu Jiao, Hongguang Zhu, Jiannan Huang, Yao Zhao, Yunchao Wei, Humphrey Shi:
Collaborative Vision-Text Representation Optimizing for Open-Vocabulary Segmentation. - Venkat Margapuri, Prapti Thapaliya, Trevor Rife:
Leaf Angle Estimation using Mask R-CNN and LETR Vision Transformer. - Mingyang Liu, Gabriele Farina, Asuman E. Ozdaglar:
A Policy-Gradient Approach to Solving Imperfect-Information Games with Iterate Convergence. - Benlin Liu, Yuhao Dong, Yiqin Wang, Yongming Rao, Yansong Tang, Wei-Chiu Ma, Ranjay Krishna:
Coarse Correspondence Elicit 3D Spacetime Understanding in Multimodal Language Model. - Haoyu Dong, Hanxue Gu, Yaqian Chen, Jichen Yang, Yuwen Chen, Maciej A. Mazurowski:
Segment anything model 2: an application to 2D and 3D medical images. - David Fan, Jue Wang, Shuai Liao, Zhikang Zhang, Vimal Bhat, Xinyu Li:
Text-Guided Video Masked Autoencoder. - Susung Hong:
Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention. - Rishub Tamirisa, Bhrugu Bharathi, Long Phan, Andy Zhou, Alice Gatti, Tarun Suresh, Maxwell Lin, Justin Wang, Rowan Wang, Ron Arel, Andy Zou, Dawn Song, Bo Li, Dan Hendrycks, Mantas Mazeika:
Tamper-Resistant Safeguards for Open-Weight LLMs. - Xiangyu Fan, Jiaqi Li, Zhiqian Lin, Weiye Xiao, Lei Yang:
UniTalker: Scaling up Audio-Driven 3D Facial Animation through A Unified Model. - Mengkang Hu, Pu Zhao, Can Xu, Qingfeng Sun, Jianguang Lou, Qingwei Lin, Ping Luo, Saravan Rajmohan, Dongmei Zhang:
AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation. - Weihao Yu, Zhengyuan Yang, Linfeng Ren, Linjie Li, Jianfeng Wang, Kevin Lin, Chung-Ching Lin, Zicheng Liu, Lijuan Wang, Xinchao Wang:
MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities. - Yixiao Wang, Chen Tang, Lingfeng Sun, Simone Rossi, Yichen Xie, Chensheng Peng, Thomas Hannagan, Stefano Sabatini, Nicola Poerio, Masayoshi Tomizuka, Wei Zhan:
Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation. - Linhan Xia, Jiaxin Cai, Ricky Yuen-Tan Hou, Seon-Phil Jeong:
Quantification and Validation for Degree of Understanding in M2M Semantic Communications. - Tayssir Bouraffa, Elias Kjellberg Carlson, Erik Wessman, Ali Nouri, Pierre Lamart, Christian Berger:
Comparing Optical Flow and Deep Learning to Enable Computationally Efficient Traffic Event Detection with Space-Filling Curves. - Mayowa Akinwande, Oluwaseyi Adeliyi, Toyyibat Yussuph:
Decoding AI and Human Authorship: Nuances Revealed Through NLP and Statistical Analysis. - Chenxi Liu, Siqi Wang, Matthew Fisher, Deepali Aneja, Alec Jacobson:
2D Neural Fields with Learned Discontinuities. - Tamiris Abildayeva, Pakizar Shamoi:
Fuzzy Logic Approach For Visual Analysis Of Websites With K-means Clustering-based Color Extraction. - Bo Xu, Xinliang Liu, Lei Zhang:
Dilated convolution neural operator for multiscale partial differential equations. - Michal Ciebielski, Majid Khadiv:
Contact-conditioned learning of locomotion policies. - Weiheng Yao, Shuqiang Wang:
CATD: Unified Representation Learning for EEG-to-fMRI Cross-Modal Generation. - Qinshi Zhang, Latisha Besariani Hendra, Mohan Chi, Zijian Ding:
Frontend Diffusion: Exploring Intent-Based User Interfaces through Abstract-to-Detailed Task Transitions. - Ben Cao, Tiantian He, Xue Li, Bin Wang, Xiaohu Wu, Qiang Zhang, Yew-Soon Ong:
Learning Structurally Stabilized Representations for Multi-modal Lossless DNA Storage. - Bin Han, Cleo Yau, Su Lei, Jonathan Gratch:
In-Depth Analysis of Emotion Recognition through Knowledge-Based Large Language Models. - Clemens Otte, Yinchong Yang, Danny Benlin Oswan:
Data-driven Verification of DNNs for Object Recognition. - Tory Frame, Julian Padget, George Stothart, Elizabeth Coulthard:
Whether to trust: the ML leap of faith. - Kexin Wang, Jiahong Zhang, Yong Ren, Man Yao, Di Shang, Bo Xu, Guoqi Li:
SpikeVoice: High-Quality Text-to-Speech Via Efficient Spiking Neural Network. - Chamil Kulatunga, Sahraoui Dhelim, M. Tahar Kechadi:
Machine Learning for Dynamic Management Zone in Smart Farming. - Kamal Acharya, Alvaro Velasquez, Yongxin Liu, Dahai Liu, Liang Sun, Houbing Song:
Improving Air Mobility for Pre-Disaster Planning with Neural Network Accelerated Genetic Algorithm. - Sabah Abdulazeez Jebur, Khalid Ali Hussein, Haider K. Hoomod, Laith Alzubaidi, Ahmed Saihood, Yuantong Gu:
A Scalable and Generalized Deep Learning Framework for Anomaly Detection in Surveillance Videos. - Zichen Song, Jiakang Li, Songning Lai, Sitan Huang:
CCSRP: Robust Pruning of Spiking Neural Networks through Cooperative Coevolution. - Shuangping Li, Tselil Schramm, Kangjie Zhou:
Discrepancy Algorithms for the Binary Perceptron. - Sangam Balchandar Reddy, Anjeneya Swami Kare:
Algorithms for Minimum Membership Dominating Set Problem. - Zhiyu An, Xianzhong Ding, Yen-Chun Fu, Cheng-Chung Chu, Yan Li, Wan Du:
Golden-Retriever: High-Fidelity Agentic Retrieval Augmented Generation for Industrial Knowledge Base. - Xin Jiang, Kaiqiang Wang, Yinlong Wang, Fengchang Lv, Taiyang Peng, Shuai Yang, Xianteng Wu, Pengye Zhang, Shuo Yuan, Yifan Zeng:
Deep Uncertainty-Based Explore for Index Construction and Retrieval in Recommendation System. - Jonathan Tobias Reif, Tom Jeleniewski, Milapji Singh Gill, Felix Gehlhoff, Alexander Fay:
Chatbot-Based Ontology Interaction Using Large Language Models and Domain-Specific Standards. - Alex Shtoff, Michael Viderman, Naama Haramaty-Krasne, Oren Somekh, Ariel Raviv, Tularam Ban:
Low Rank Field-Weighted Factorization Machines for Low Latency Item Recommendation. - Alicia Tsai, Adam Kraft, Long Jin, Chenwei Cai, Anahita Hosseini, Taibai Xu, Zemin Zhang, Lichan Hong, Ed H. Chi, Xinyang Yi:
Leveraging LLM Reasoning Enhances Personalized Recommender Systems. - Tingting Wang, Guilin Qi:
A Comprehensive Survey on Root Cause Analysis in (Micro) Services: Methodologies, Challenges, and Trends. - Ning Xu, Zhaoyang Zhang, Lei Qi, Wensuo Wang, Chao Zhang, Zihao Ren, Huaiyuan Zhang, Xin Cheng, Yanqi Zhang, Zhichao Liu, Qingwen Wei, Shiyang Wu, Lanlan Yang, Qianfeng Lu, Yiqun Ma, Mengyao Zhao, Junbo Liu, Yufan Song, Xin Geng, Jun Yang:
ChipExpert: The Open-Source Integrated-Circuit-Design-Specific Large Language Model. - Omkar Kokane, Prabhat Sati, Mukul Lokhande, Santosh Kumar Vishvakarma:
HOAA: Hybrid Overestimating Approximate Adder for Enhanced Performance Processing Engine. - Shahin Mirbakhsh, Mahdi Azizi:
Adaptive traffic signal safety and efficiency improvement by multi objective deep reinforcement learning approach. - Giulio Rossetti, Massimo Stella, Rémy Cazabet, Katherine Abramski, Erica Cau, Salvatore Citraro, Andrea Failla, Riccardo Improta, Virginia Morini, Valentina Pansanella:
Y Social: an LLM-powered Social Media Digital Twin. - Noah Goodall:
Methods to Estimate Advanced Driver Assistance System Penetration Rates in the United States. - Daniel Carpenter, Carson Ezell:
An FDA for AI? Pitfalls and Plausibility of Approval Regulation for Frontier Artificial Intelligence. - Sebastian Bieringer, Sascha Diefenbacher, Gregor Kasieczka, Mathias Trabs:
Calibrating Bayesian Generative Machine Learning for Bayesiamplification. - Yaroslav Marchukov, Luis Montano:
Occupation-aware planning method for robotic monitoring missions in dynamic environments. - Haoyang Wang, He Bai, Xiaoli Zhang, Yunsik Jung, Michel Bowman, Lingfeng Tao:
Real-time Dexterous Telemanipulation with an End-Effect-Oriented Learning-based Approach. - Clayton Knittel, Jane Awuah, Steven Franconeri, Cindy Xiong Bearfield:
Gridlines Mitigate Sine Illusion in Line Charts. - Jianan Jiang, Di Wu, Hanhui Deng, Yidan Long, Wenyi Tang, Xiang Li, Can Liu, Zhanpeng Jin, Wenlei Zhang, Tangquan Qi:
HAIGEN: Towards Human-AI Collaboration for Facilitating Creativity and Style Generation in Fashion Design. - Zhen Yang, Wenhui Wang, Tao Qi, Peng Zhang, Tianyun Zhang, Ru Zhang, Jianyi Liu, Yongfeng Huang:
LICM: Effective and Efficient Long Interest Chain Modeling for News Recommendation. - Ziwen Guo, Zi Fang, Zhuang Fu:
UlRe-NeRF: 3D Ultrasound Imaging through Neural Rendering with Ultrasound Reflection Direction Parameterization. - Juzheng Zhang, Yatao Bian, Yongqiang Chen, Quanming Yao:
UniMoT: Unified Molecule-Text Language Model with Discrete Token Representation. - Elijah Robert Bouma-Sims, Lily Klucinec, Mandy Lanyon, Lorrie Faith Cranor, Julie Downs:
Recruiting Teenage Participants for an Online Security Experiment: A Case Study Using Peachjar. - Shakib Mustavee, Pushkin Kachroo, Shaurya Agarwal:
An Extreme Value Theory Approach for Understanding Queue Length Dynamics in Adaptive Corridors. - Jiasheng Zhang, Jie Shao, Rex Ying:
Online Detection of Anomalies in Temporal Knowledge Graphs with Interpretability. - Jiayuan Zhu, Yunli Qi, Junde Wu:
Medical SAM 2: Segment medical images as video via Segment Anything Model 2. - Benjie Wang, Guy Van den Broeck:
On the Relationship Between Monotone and Squared Probabilistic Circuits. - Anton Korikov, George Saad, Ethan Baron, Mustafa Khan, Manav Shah, Scott Sanner:
Multi-Aspect Reviewed-Item Retrieval via LLM Query Decomposition and Aspect Fusion. - Sonja Schmer-Galunder, Ruta Wheelock, Scott Friedman, Alyssa Chvasta, Zaria Jalan, Emily Saltz:
Annotator in the Loop: A Case Study of In-Depth Rater Engagement to Create a Bridging Benchmark Dataset. - Jennifer J. Schnur, Angélica García-Martínez, Patrick Soga, Karla Badillo-Urquiola, Alejandra J. Botello, Ana Calderon Raisbeck, Sugana Chawla, Josef Ernst, William Gentry, Richard P. Johnson, Michael Kennel, Jesús Robles, Madison Wagner, Elizabeth Medina, Juan Garduño Espinosa, Horacio Márquez-González, Victor Olivar-López, Luis E. Juárez-Villegas, Martha Avilés-Robles, Elisa Dorantes-Acosta, Viridia Avila, Gina Chapa-Koloffon, Elizabeth Cruz, Leticia Luis, Clara Quezada, Emanuel Orozco, Edson Serván-Mori, Martha Cordero, Rubén Martín Payo, Nitesh V. Chawla:
SaludConectaMX: Lessons Learned from Deploying a Cooperative Mobile Health System for Pediatric Cancer Care in Mexico. - Emily Wenger, Eshika Saxena, Mohamed Malhou, Ellie Thieu, Kristin E. Lauter:
Benchmarking Attacks on Learning with Errors. - Gilberto Díaz-García, Francesco Bullo, Jason R. Marden:
Strategic Coalitions in Networked Contest Games. - Fuheng Zhao, Divyakant Agrawal, Amr El Abbadi:
Hybrid Querying Over Relational Databases and Large Language Models. - Tom Wollschläger, Aman Saxena, Nicola Franco, Jeanette Miriam Lorenz, Stephan Günnemann:
Discrete Randomized Smoothing Meets Quantum Computing. - Ruohan Li, Hualan Wang, Qiyang Zhang, Ting Nie:
A Novel Highway Traffic Capacity Analyzing Method under Road Region Atmospheric Environment Constrains Based on Computational Fluid Dynamics Model. - Abderrahim Bendahi, Adrien Fradin:
On Constrained and k Shortest Paths. - Jingwei Liu:
Expressive MIDI-format Piano Performance Generation. - Rohit Suresh, Parastoo Akbari, Cameron A MacKenzie:
A value-focused thinking approach to measure community resilience. - Tara Sowrirajan, Ryan Whalen, Brian Uzzi:
High-Impact Innovations and Hidden Gender Disparities in Inventor-Evaluator Networks. - Christopher Neves, Yong Zeng, Yiming Xiao:
Parkinson's Disease Detection from Resting State EEG using Multi-Head Graph Structure Learning with Gradient Weighted Graph Attention Explanations. - Miguel A. Saavedra-Ruiz, Steven A. Parkison, Ria Arora, James Richard Forbes, Liam Paull:
The Harmonic Exponential Filter for Nonparametric Estimation on Motion Groups. - Wenbin Zhou, Jin-Hong Du:
Distance-Preserving Generative Modeling of Spatial Transcriptomics. - Taimoor Ul Islam, Joshua Ofori Boateng, Md Nadim, Guoying Zu, Mukaram Shahid, Xun Li, Tianyi Zhang, Salil Reddy, Wei Xu, Ataberk Atalar, Vincent Lee, Yung-Fu Chen, Evan Gosling, Elisabeth Permatasari, Christ Somiah, Zhibo Meng, Sarath Babu, Mohammed Soliman, Ali Hussain, Daji Qiao, Mai Zheng, Ozdal Boyraz, Yong Guan, Anish Arora, Mohamed Selim, Arsalan Ahmad, Myra B. Cohen, Mike Luby, Ranveer Chandra, James Gross, Hongwei Zhang:
Design and Implementation of ARA Wireless Living Lab for Rural Broadband and Applications. - Steven Fincke, Adrien Bibal, Elizabeth Boschee:
Granting GPT-4 License and Opportunity: Enhancing Accuracy and Confidence Estimation for Few-Shot Event Detection. - Xinyuan Jiang, Constantino M. Lagoa, Daning Huang, Yan Li:
A reference frame-based microgrid primary control for ensuring global convergence to a periodic orbit. - Junhui Zhang, Sze Zheng Yong, Dimitra Panagou:
Safety-Critical Control with Offline-Online Neural Network Inference. - Binchi Zhang, Yushun Dong, Tianhao Wang, Jundong Li:
Towards Certified Unlearning for Deep Neural Networks. - Md. Nazmus Sakib, Md Athikul Islam, Md Mashrur Arifin:
Automatic Pull Request Description Generation Using LLMs: A T5 Model Approach. - Róisín Luo, Alexandru Drimbarean, James McDermott, Colm O'Riordan:
Reclaiming Residual Knowledge: A Novel Paradigm to Low-Bit Quantization. - Victor Valbuena:
WHITE PAPER: A Brief Exploration of Data Exfiltration using GCG Suffixes. - Tarun Chitra, Mallesh Pai:
How much should you pay for restaking security? - Binchi Zhang, Zihan Chen, Cong Shen, Jundong Li:
Verification of Machine Unlearning is Fragile. - Tian Lan, Huan Wang, Caiming Xiong, Silvio Savarese:
Enabling High Data Throughput Reinforcement Learning on GPUs: A Domain Agnostic Framework for Data-Driven Scientific Research. - Bin Han, Yiwei Yang, Anat Caspi, Bill Howe:
Towards Zero-Shot Annotation of the Built Environment with Vision-Language Models (Vision Paper). - Junyi Ji, Alex Richardson, Derek Gloudemans, Gergely Zachár, Matthew Nice, William Barbour, Jonathan Sprinkle, Benedetto Piccoli, Daniel B. Work:
Stop-and-go waves reconstruction via iterative refinement. - Chengbo Zang, Mehmet Kerem Türkcan, Gil Zussman, Javad Ghaderi, Zoran Kostic:
Data-Driven Traffic Simulation for an Intersection in a Metropolis. - Keivan Shariatmadar:
Generalisation of Total Uncertainty in AI: A Theoretical Study. - Yibo Wang, Wanrong Cao, Yanzhao Cao:
Strong convergence of an explicit full-discrete scheme for stochastic Burgers-Huxley equation. - Sari Masri, Huthaifa I. Ashqar, Mohammed Elhenawy:
Leveraging Large Language Models (LLMs) for Traffic Management at Urban Intersections: The Case of Mixed Traffic Scenarios. - Joel Gibson, Daniel Tubbenhauer, Geordie Williamson:
Equivariant neural networks and piecewise linear representation theory. - Lingyu Du, Jinyuan Jia, Xucong Zhang, Guohao Lan:
PrivateGaze: Preserving User Privacy in Black-box Mobile Gaze Tracking Services. - Yibo Wang, Wanrong Cao:
Strong convergence of a fully discrete scheme for stochastic Burgers equation with fractional-type noise. - Chongjun Ouyang, Zhaolin Wang, Yan Chen, Xidong Mu, Peiying Zhu:
A Primer on Near-Field Communications for Next-Generation Multiple Access. - Yibo Wang, Wanrong Cao:
Approximation of the invariant measure for stochastic Allen-Cahn equation via an explicit fully discrete scheme. - Leonardo Muñoz, Oscar Avila:
Digital capabilities assessment for supporting the transformation of the customer experience. - Chu Qiao, Cong Wang, Zhenkai Zhang, Yuede Ji, Xing Gao:
Caching Aided Multi-Tenant Serverless Computing. - Yiting Chen, Pol Mestres, Emiliano Dall'Anese, Jorge Cortés:
Characterization of the Dynamical Properties of Safety Filters for Linear Planar Systems. - Liam Hebert, Krishna Sayana, Ambarish Jash, Alexandros Karatzoglou, Sukhdeep S. Sodhi, Sumanth Doddapaneni, Yanli Cai, Dima Kuzmin:
PERSOMA: PERsonalized SOft ProMpt Adapter Architecture for Personalized Language Prompting. - Mohammed Rakib, Adil Aman Mohammed, D. Cole Diggins, Sumit Sharma, Jeff Michael Sadler, Tyson Ochsner, Arunkumar Bagavathi:
MIS-ME: A Multi-modal Framework for Soil Moisture Estimation. - Md. Reya Shad Azim, Mustafa Abdallah:
A Quantal Response Analysis of Defender-Attacker Sequential Security Games. - Sung Une Lee, Harsha Perera, Yue Liu, Boming Xia, Qinghua Lu, Liming Zhu, Jessica Cairns, Moana Nottage:
Integrating ESG and AI: A Comprehensive Responsible AI Assessment Framework. - Fei Yang:
Automatic Extraction of Relationships among Motivations, Emotions and Actions from Natural Language Texts. - Jesus Guerrero:
Extracting Object Heights From LiDAR & Aerial Imagery. - Ali Sadeghi Jahromi, AbdelRahman Abdou, Paul C. van Oorschot:
DNSSEC+: An Enhanced DNS Scheme Motivated by Benefits and Pitfalls of DNSSEC. - Yabin Zhu, Qianwu Wang, Chenglong Li, Jin Tang, Zhixiang Huang:
Visible-Thermal Multiple Object Tracking: Large-scale Video Dataset and Progressive Fusion Approach. - Zijian Yi, Ziming Zhao, Zhishu Shen, Tiehua Zhang:
Multimodal Fusion via Hypergraph Autoencoder and Contrastive Learning for Emotion Recognition in Conversation. - Junhao Zheng, Haibin Chen, Qianli Ma:
Cross-domain Named Entity Recognition via Graph Matching. - Daniel A. Serino, Marc Louis Klasky, Balasubramanya T. Nadiga, Xiaojian Xu, Trevor Wilcox:
Reconstructing Richtmyer-Meshkov instabilities from noisy radiographs using low dimensional features and attention-based neural networks. - Ignacy Stepka, Nicholas Gisolfi, Artur Dubrawski:
A SAT-based approach to rigorous verification of Bayesian networks. - Jen-tse Huang, Jiaxu Zhou, Tailin Jin, Xuhui Zhou, Zixi Chen, Wenxuan Wang, Youliang Yuan, Maarten Sap, Michael R. Lyu:
On the Resilience of Multi-Agent Systems with Malicious Agents. - Ali Shahabi, Reza Ghiassi:
A Numerical Technique for Coupling the Momentum and the Continuity Equations for Semi-Implicit 3D Ocean Models. - Thang Doan Viet, Zichong Wang, Minh Nhat Nguyen, Wenbin Zhang:
Fairness in Large Language Models in Three Hours. - Hojae Han, Jaejin Kim, Jaeseok Yoo, Youngwon Lee, Seung-won Hwang:
ArchCode: Incorporating Software Requirements in Code Generation with Large Language Models. - Sai Shashank Peddiraju, Kaustubh Harapanahalli, Edward Andert, Aviral Shrivastava:
IncidentNet: Traffic Incident Detection, Localization and Severity Estimation with Sparse Sensing. - Erfan Entezami, Mahsa Sahebdel, Dhawal Gupta:
A Safe Exploration Strategy for Model-free Task Adaptation in Safety-constrained Grid Environments. - Xiang Gao, Jiaying Liu:
FBSDiff: Plug-and-Play Frequency Band Substitution of Diffusion Features for Highly Controllable Text-Driven Image Translation. - Chanwut Kittivorawong, Sirapop Theeranantachai, Nussara Tieanklin, Esther Han Beol Jang, Kurtis Heimerl:
Community Cellular Networks Coverage Visualizer. - Yang Luo, Shiyu Wang, Zhemeng Yu, Wei Lu, Xiaofeng Gao, Lintao Ma, Guihai Chen:
Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-Making. - Kohou Wang, Xiang Liu, Zhaoxiang Liu, Kai Wang, Shiguo Lian:
Piculet: Specialized Models-Guided Hallucination Decrease for MultiModal Large Language Models. - Wenhao Liang, Zhengyang Li, Weitong Chen:
Enhancing Financial Market Predictions: Causality-Driven Feature Selection. - Afia Anjum, Maksim Ekin Eren, Ismael Boureima, Boian S. Alexandrov, Manish Bhattarai:
Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs. - Dennis Bromley, Vidya Setlur:
DASH: A Bimodal Data Exploration Tool for Interactive Text and Visualizations. - Shiqi Zhang, Mridul Gupta, Behnam Dezfouli:
Understanding and Enhancing Linux Kernel-based Packet Switching on WiFi Access Points. - Die Chen, Zhiwen Li, Mingyuan Fan, Cen Chen, Wenmeng Zhou, Yaliang Li:
EIUP: A Training-Free Approach to Erase Non-Compliant Concepts Conditioned on Implicit Unsafe Prompts. - Eren Olug, Kiymet Kaya, Resul Tugay, Sule Gündüz Ögüdücü:
IBB Traffic Graph Data: Benchmarking and Road Traffic Prediction Model. - Ruifeng Li, Mingqian Li, Wei Liu, Hongyang Chen:
GNN-SKAN: Harnessing the Power of SwallowKAN to Advance Molecular Representation Learning with GNNs. - Sangwoo Shin, Seunghyun Kim, Youngsoo Jang, Moontae Lee, Honguk Woo:
Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments. - Ankang Sun, Bo Chen:
Randomized Strategyproof Mechanisms with Best of Both Worlds Fairness and Efficiency. - Yingying Zhang, Xin Guo, Jiangwei Lao, Lei Yu, Lixiang Ru, Jian Wang, Guo Ye, Huimei He, Jingdong Chen, Ming Yang:
POA: Pre-training Once for Models of All Sizes. - Kentaro Uno, Takehiro Matsuoka, Akiyoshi Uchida, Kazuya Yoshida:
Structure from Motion-based Motion Estimation and 3D Reconstruction of Unknown Shaped Space Debris. - Xiangbo Gao, Asiegbu Miracle Kanu-Asiegbu, Xiaoxiao Du:
MambaST: A Plug-and-Play Cross-Spectral Spatial-Temporal Fuser for Efficient Pedestrian Detection. - Yi Tu, Chong Zhang, Ya Guo, Huan Chen, Jinyang Tang, Huijia Zhu, Qi Zhang:
UNER: A Unified Prediction Head for Named Entity Recognition in Visually-rich Documents. - Seungeun Oh, Sihun Baek, Jihong Park, Hyelin Nam, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim:
Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix. - Yang Jin, Lei Zhang, Shi Yan, Bin Fan, Binglu Wang:
Boosting Gaze Object Prediction via Pixel-level Supervision from Vision Foundation Model. - Ashima Suvarna, Xiao Liu, Tanmay Parekh, Kai-Wei Chang, Nanyun Peng:
QUDSELECT: Selective Decoding for Questions Under Discussion Parsing. - Selena Baldan, Massimiliano Ferronato, Andrea Franceschini, Carlo Janna, Claudia Zoccarato, Matteo Frigo, Giovanni Isotton, Cristiano Collettini, Chiara Deangeli, Vera Rocca, Francesca Verga, Pietro Teatini:
Unexpected fault activation in underground gas storage. Part II: Definition of safe operational bandwidths. - Matias Martinez:
The Impact of Hyperparameters on Large Language Model Inference Performance: An Evaluation of vLLM and HuggingFace Pipelines. - Agathe Balayn, Yulu Pi, David Gray Widder, Kars Alfrink, Mireia Yurrita, Sohini Upadhyay, Naveena Karusala, Henrietta Lyons, Cagatay Turkay, Christelle Tessono, Blair Attard-Frost, Ujwal Gadiraju:
From Stem to Stern: Contestability Along AI Value Chains. - Siwei Chen, Zejun Xiang, Xiangyong Zeng, Guangxue Qin:
Enhancing the MILP/MIQCP-based Automatic Search for Differential-Linear Distinguishers of Simon-Like Ciphers. - Jonathan Wagner, Reshef Meir:
Distribution Aggregation via Continuous Thiele's Rules. - Zhensu Sun, Haotian Zhu, Bowen Xu, Xiaoning Du, Li Li, David Lo:
LLM as Runtime Error Handler: A Promising Pathway to Adaptive Self-Healing of Software Systems. - Yan Ning, Song Liu, Taiwen Yang, Liang Zheng, Ling Shi:
The NING Humanoid: The Concurrent Design and Development of a Dynamic and Agile Platform. - Wesley Hanwen Deng, Solon Barocas, Jennifer Wortman Vaughan:
Supporting Industry Computing Researchers in Assessing, Articulating, and Addressing the Potential Negative Societal Impact of Their Work. - Shantanu Singh, Nikolaos Bekiaris-Liberis:
Numerical and Lyapunov-Based Investigation of the Effect of Stenosis on Blood Transport Stability Using a Control-Theoretic PDE Model of Cardiovascular Flow. - Quim Motger, Alessio Miaschi, Felice Dell'Orletta, Xavier Franch, Jordi Marco:
Leveraging Large Language Models for Mobile App Review Feature Extraction. - Ruohua Shi, Zhaochen Liu, Lingyu Duan, Tingting Jiang:
Amodal Segmentation for Laparoscopic Surgery Video Instruments. - Ruize Zhang, Zelai Xu, Chengdong Ma, Chao Yu, Wei-Wei Tu, Shiyu Huang, Deheng Ye, Wenbo Ding, Yaodong Yang, Yu Wang:
A Survey on Self-play Methods in Reinforcement Learning. - Jasper Roe, Mike Perkins, Yulia Tregubova:
The EAP-AIAS: Adapting the AI Assessment Scale for English for Academic Purposes. - Lu Yu, Zhe Tao, Hantao Yao, Joost van de Weijer, Changsheng Xu:
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning. - Zhixin Yan, Yan Zhong, Hongbin Xu, Wenjun Zhang, Lin Shu, Hongbin Xu, Wenxiong Kang:
PhysMamba: State Space Duality Model for Remote Physiological Measurement. - Fan Qin, Yi Liu, Chao Gu, Linfeng Zeng, Wenchi Cheng, Hailin Zhang, Steven Gao:
Multibeam Hybrid Transmitarray Based on Polarization Rotating Metasurface With Reconfigurable Bidirectional Radiation. - Hesong Li, Ying Fu:
FCDFusion: a Fast, Low Color Deviation Method for Fusing Visible and Infrared Image Pairs. - Oliver Boolakee, Martin Geier, Laura De Lorenzis:
Lattice Boltzmann for linear elastodynamics: periodic problems and Dirichlet boundary conditions. - Youna Kim, Hyuhng Joon Kim, Cheonbok Park, Choonghyun Park, Hyunsoo Cho, Junyeob Kim, Kang Min Yoo, Sang-goo Lee, Taeuk Kim:
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts. - Ajinkya Shinde, Gaurav Sharma, Manisha Pattanaik, Sri Niwas Singh:
Effect of Fog Particle Size Distribution on 3D Object Detection Under Adverse Weather Conditions. - Phillip Schneider, Nektarios Machner, Kristiina Jokinen, Florian Matthes:
Bridging Information Gaps in Dialogues With Grounded Exchanges Using Knowledge Graphs. - Yucheng Yang, Xiang Gu, Jian Sun:
Prototypical Partial Optimal Transport for Universal Domain Adaptation. - Weihao Zhang, Yu Du, Hongyi Li, Songchen Ma, Rong Zhao:
General-purpose Dataflow Model with Neuromorphic Primitives. - Jin Gao, Lei Gan, Yuankai Li, Yixin Ye, Dequan Wang:
Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-Contradictory Instructions. - Rong Gu, Kaige Tan, Andreas Holck Høeg-Petersen, Lei Feng, Kim Guldstrand Larsen:
CommonUppRoad: A Framework of Formal Modelling, Verifying, Learning, and Visualisation of Autonomous Vehicles. - Hung-Nghiep Tran, Akiko Aizawa, Atsuhiro Takasu:
An Encoding-Searching Separation Perspective on Bi-Encoder Neural Search. - Danbinaerin Han, Mark R. H. Gotham, Dongmin Kim, Hannah Park, Sihun Lee, Dasaem Jeong:
Six Dragons Fly Again: Reviving 15th-Century Korean Court Music with Transformers and Novel Encoding. - Robert J. Kunsch, Marcin Wnuk:
Uniform approximation of vectors using adaptive randomized information. - Donwon Park, Hayeon Kim, Se Young Chun:
Contribution-based Low-Rank Adaptation with Pre-training Model for Real Image Restoration. - Yang Ouyang, Leixian Shen, Yun Wang, Quan Li:
NotePlayer: Engaging Jupyter Notebooks for Dynamic Presentation of Analytical Processes. - Haoxiang Fan, Guanzheng Chen, Xingbo Wang, Zhenhui Peng:
LessonPlanner: Assisting Novice Teachers to Prepare Pedagogy-Driven Lesson Plans with Large Language Models. - Ana Díaz-Muñoz, José A. Cruz-Lemus, Moisés Rodríguez, Mario Piattini, Maria Teresa Baldassarre:
Validation of an Analysability Model in Hybrid Quantum Software. - Chengrui Wang, Qingqing Long, Meng Xiao, Xunxin Cai, Chengjun Wu, Zhen Meng, Xuezhi Wang, Yuanchun Zhou:
BioRAG: A RAG-LLM Framework for Biological Question Reasoning. - Phokion G. Kolaitis, Andreas Pieris:
Characterizing Data Dependencies Then and Now. - Malavikha Sudarshan, Sophie Shih, Estella Yee, Alina Yang, John Zou, Cathy Chen, Quan Zhou, Leon Chen, Chinmay Singhal, George Shih:
Agentic LLM Workflows for Generating Patient-Friendly Medical Reports. - Rolf Hennicker, Alexander Knapp, Martin Wirsing:
Epistemic Ensembles in Semantic and Symbolic Environments (Extended Version with Proofs). - Loi Do, Adam Uchytil, Zdenek Hurák:
Practical Guidelines for Data-driven Identification of Lifted Linear Predictors for Control. - Peter Røysland Aarnes, Vinay Setty, Petra Galuscáková:
IAI Group at CheckThat! 2024: Transformer Models and Data Augmentation for Checkworthy Claim Detection. - Róbert Belanec, Simon Ostermann, Ivan Srba, Mária Bieliková:
Task Prompt Vectors: Effective Initialization through Multi-Task Soft-Prompt Transfer. - Wei Chen, Long Chen, Yu Wu:
An Efficient and Effective Transformer Decoder-Based Framework for Multi-Task Visual Grounding. - Anna Volkova, Mahdieh Hatamian, Alina Anapyanova, Hermann de Meer:
Being Accountable is Smart: Navigating the Technical and Regulatory Landscape of AI-based Services for Power Grid. - Tao Zhang, Yanjun Shen, Wenjing Luo, Yan Zhang, Hao Liang, Tao Zhang, Fan Yang, Mingan Lin, Yujing Qiao, Weipeng Chen, Bin Cui, Wentao Zhang, Zenan Zhou:
CFBench: A Comprehensive Constraints-Following Benchmark for LLMs. - F. Aykut Sarikamis, A. Aydin Alatan:
IG-SLAM: Instant Gaussian SLAM. - Shida Jiang, Junzhe Shi, Scott Moura:
Relax, Estimate, and Track: a Simple Battery State-of-charge and State-of-health Estimation Method. - Haohao Qu, Liangbo Ning, Rui An, Wenqi Fan, Tyler Derr, Hui Liu, Xin Xu, Qing Li:
A Survey of Mamba. - Leo Micklem, Huazhi Dong, Francesco Giorgio Serchi, Yunjie Yang, Gabriel D. Weymouth, Blair Thornton:
Closed-loop underwater soft robotic foil shape control using flexible e-skin. - Jing Gao, Arieh Iserles:
Spectral methods on a triangle and W-systems. - Linas Vidziunas, David W. Binkley, Leon Moonen:
The Impact of Program Reduction on Automated Program Repair. - Changqun Xia, Chenxi Xie, Zhentao He, Tianshu Yu, Jia Li:
PGNeXt: High-Resolution Salient Object Detection via Pyramid Grafting Network. - Róisín Luo, James McDermott, Colm O'Riordan:
Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition. - Negin Ashrafi, Armin Abdollahi, Maryam Pishgar:
Enhanced Prediction of Ventilator-Associated Pneumonia in Patients with Traumatic Brain Injury Using Advanced Machine Learning Techniques. - Yueen Ma, Dafeng Chi, Shiguang Wu, Yuecheng Liu, Yuzheng Zhuang, Jianye Hao, Irwin King:
Actra: Optimized Transformer Architecture for Vision-Language-Action Models in Robot Learning. - Frank Werner, Bernd Hofmann:
A unified concept of the degree of ill-posedness for compact and non-compact linear operators in Hilbert spaces under the auspices of the spectral theorem. - Ravi Raj Saxena, T. V. Prabhakar, Joy Kuri, Manogna Yadav:
Vertiport Terminal Scheduling and Throughput Analysis for Multiple Surface Directions. - Zhichun Wang, Xuan Chen:
DERA: Dense Entity Retrieval for Entity Alignment in Knowledge Graphs. - Yicheng Lin, Dandan Zhang, Yun Liu:
TCR-GPT: Integrating Autoregressive Model and Reinforcement Learning for T-Cell Receptor Repertoires Generation. - Charalampos E. Tsourakakis:
A Note on Computing Betweenness Centrality from the 2-core. - Farukh Yaushev, Daria Nogina, Valentin Samokhin, Mariya Dugova, Ekaterina Petrash, Dmitry Sevryukov, Mikhail Belyaev, Maxim Pisov:
Robust Curve Detection in Volumetric Medical Imaging via Attraction Field. - Bryan Wong, Mun Yong Yi:
PreMix: Boosting Multiple Instance Learning in Digital Histopathology through Pre-training with Intra-Batch Slide Mixing. - Alexander Olza, David Soto, Roberto Santana:
Domain Adaptation-Enhanced Searchlight: Enabling brain decoding from visual perception to mental imagery. - Hugo Aguettaz, Hans-Andrea Loeliger:
Continuous-Time Neural Networks Can Stably Memorize Random Spike Trains. - Bryan Wong, Mun Yong Yi:
Rethinking Pre-trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image Classification. - Bo Zhou, Daniel Geißler, Paul Lukowicz:
Misinforming LLMs: vulnerabilities, challenges and opportunities. - Jaroslaw Kornowicz, Kirsten Thommes:
Algorithm, Expert, or Both? Evaluating the Role of Feature Selection Methods on User Preferences and Reliance. - Jinbo Wen, Jiawen Kang, Dusit Niyato, Yang Zhang, Shiwen Mao:
Sustainable Diffusion-based Incentive Mechanism for Generative AI-driven Digital Twins in Industrial Cyber-Physical Systems. - Suvarthi Sarkar, Nandini Sharma, Akshat Mittal, Aryabartta Sahu:
Power Aware Container Placement in Cloud Computing with Affinity and Cubic Power Model. - Coen Schoof, Stefanos Koffas, Mauro Conti, Stjepan Picek:
EmoBack: Backdoor Attacks Against Speaker Identification Using Emotional Prosody. - Jiwoo Ryu, Hao-Wen Dong, Jongmin Jung, Dasaem Jeong:
Nested Music Transformer: Sequentially Decoding Compound Tokens in Symbolic Music and Audio Generation. - Qian Zhang, Xiangzi Dai, Ninghua Yang, Xiang An, Ziyong Feng, Xingyu Ren:
VAR-CLIP: Text-to-Image Generator with Visual Auto-Regressive Modeling. - Juan C. Rosero, Ivana Dusparic, Nicolás Cardozo:
Multi-Objective Deep Reinforcement Learning for Optimisation in Autonomous Systems. - Ruitao Xie, Limai Jiang, Xiaoxi He, Yi Pan, Yunpeng Cai:
A Weakly Supervised and Globally Explainable Learning Framework for Brain Tumor Segmentation. - Zixin Feng, Wenchao Xue, Yifen Mu, Ming Wei, Bin Meng, Wei Cui:
On Game Based Distributed Decision Approach for Multi-agent Optimal Coverage Problem with Application to Constellations Reconfiguration. - Ralf Hiptmair, Christoph Schwab, Euan A. Spence:
Frequency-Explicit Shape Holomorphy in Uncertainty Quantification for Acoustic Scattering. - Shanfan Zhang, Xiaoting Shen, Zhan Bu:
Game Theory Based Community-Aware Opinion Dynamics. - Aidan Slingsby, Jonathan Hyde:
Zoomable Level-of-Detail ChartTables for Interpreting Probabilistic Model Outputs for Reactionary Train Delays. - Arman Goshtasbi, Luca Grignaffini, Ali Sadeghi:
From Problem to Solution: Bio-inspired 3D Printing for Bonding Soft and Rigid Materials via Underextrusions. - Raphaël Berthon, Joost-Pieter Katoen, Tobias Winkler:
Markov Decision Processes with Sure Parity and Multiple Reachability Objectives. - Daniel B. Hier, S. Ilyas Munzir, Anne Stahlfeld, Tayo Obafemi-Ajayi, Michael D. Carrithers:
High-Throughput Phenotyping of Clinical Text Using Large Language Models. - Juyoung Yun, Hoyoung Kim, Suin Cho, Hangil Kang:
ZNorm: Z-Score Gradient Normalization for Accelerating Neural Network Training. - Zidu Wang, Xiangyu Zhu, Jiang Yu, Tianshuo Zhang, Zhen Lei:
S2TD-Face: Reconstruct a Detailed 3D Face with Controllable Texture from a Single Sketch. - Giorgia Adorni, Francesca Mangili, Alberto Piatti, Claudio Bonesana, Alessandro Antonucci:
Rubric-based Learner Modelling via Noisy Gates Bayesian Networks for Computational Thinking Skills Assessment. - Muhammad Ahmad, Muhammad Hassaan Farooq Butt, Muhammad Usama, Hamad Ahmed Altuwaijri, Manuel Mazzara, Salvatore Distefano:
Multi-head Spatial-Spectral Mamba for Hyperspectral Image Classification. - Ke Li, Reinhard Bacher, Susanne Schmidt, Wim Leemans, Frank Steinicke:
Reality Fusion: Robust Real-time Immersive Mobile Robot Teleoperation with Volumetric Visual Data Fusion. - Marius Bozga, Radu Iosif, Florian Zuleger:
Regular Grammars for Graph Sets of Tree-Width ≤. - Byeong-Ho Bahn:
Parametric holomorphy of elliptic eigenvalue problems. - Simone Caldarella, Massimiliano Mancini, Elisa Ricci, Rahaf Aljundi:
The Phantom Menace: Unmasking Privacy Leakages in Vision-Language Models. - YiFan Hao, Yang Yang, Junru Song, Wei Peng, Weien Zhou, Tingsong Jiang, Wen Yao:
HeteroMorpheus: Universal Control Based on Morphological Heterogeneity Modeling. - Muhammad Ahmad, Muhammad Usama, Manual Mazzara:
WaveMamba: Spatial-Spectral Wavelet Mamba for Hyperspectral Image Classification. - Kushal Kumar Jain, Steven A. Grosz, Anoop M. Namboodiri, Anil K. Jain:
CLIP4Sketch: Enhancing Sketch to Mugshot Matching through Dataset Augmentation using Diffusion Models. - Amar Abane, Michael Cubeddu, Van Sy Mai, Abdella Battou:
Entanglement Routing in Quantum Networks: A Comprehensive Survey. - Pablo Galván, Filip Lemic, Gerard Calvo Bartra, Sergi Abadal, Xavier Costa-Pérez:
Tailoring Graph Neural Network-based Flow-guided Localization to Individual Bloodstreams and Activities. - Ramtin Ardeshirifar:
Automated Classification of Dry Bean Varieties Using XGBoost and SVM Models. - Alexander Yu. Chunikhin:
CHTW-systems with resource-depended parameters. CHTW(R)-systems. - Xinyu Peng, Feng Han, Li Peng, Weiran Liu, Zheng Yan, Kai Kang, Xinyuan Zhang, Guoxing Wei, Jianling Sun, Jinfei Liu:
MapComp: A Secure View-based Collaborative Analytics Framework for Join-Group-Aggregation. - Li Dong, Feibo Jiang, Minjie Wang, Yubo Peng, Xiaolong Li:
Deep progressive reinforcement learning-based flexible resource scheduling framework for IRS and UAV-assisted MEC system. - Daoxin Zhong, Luke Robinson, Daniele De Martini:
NeRFoot: Robot-Footprint Estimation for Image-Based Visual Servoing. - Prakhar Godara, Tilman Alemán, Angela J. Yu:
Metareasoning in uncertain environments: a meta-BAMDP framework. - Cristian Sestito, Shady Agwa, Themis Prodromakis:
TrIM: Triangular Input Movement Systolic Array for Convolutional Neural Networks - Part I: Dataflow and Analytical Modelling. - Florian Breuer:
SeCritMass: Threshold Secret Petitions. - Lorenzo Mannocci, Michele Mazza, Anna Monreale, Maurizio Tesconi, Stefano Cresci:
Detection and Characterization of Coordinated Online Behavior: A Survey. - Jan Brüdigam, Ali-Adeeb Abbas, Maks Sorokin, Kuan Fang, Brandon Hung, Maya Guru, Stefan Sosnowski, Jiuguang Wang, Sandra Hirche, Simon Le Cleac'h:
Jacta: A Versatile Planner for Learning Dexterous and Whole-body Manipulation. - Kunlun Zhu, Yifan Luo, Dingling Xu, Ruobing Wang, Shi Yu, Shuo Wang, Yukun Yan, Zhenghao Liu, Xu Han, Zhiyuan Liu, Maosong Sun:
RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework. - Giorgia Adorni, Alberto Piatti:
The virtual CAT: A tool for algorithmic thinking assessment in Swiss compulsory education. - Lutao Jiang, Hangyu Li, Lin Wang:
A General Framework to Boost 3D GS Initialization for Text-to-3D Generation by Lexical Richness. - Wenyan Xu, Rundong Wang, Chen Li, Yonghong Hu, Zhonghua Lu:
HRFT: Mining High-Frequency Risk Factor Collections End-to-End via Transformer. - Xinhuan Shu, Alexis Pister, Junxiu Tang, Fanny Chevalier, Benjamin Bach:
Does This Have a Particular Meaning? Interactive Pattern Explanation for Network Visualizations. - Akash Harapanahalli, Samuel Coogan:
Certified Robust Invariant Polytope Training in Neural Controlled ODEs. - Wenbin Zou, Hongxia Gao, Weipeng Yang, Tongtong Liu:
Wave-Mamba: Wavelet State Space Model for Ultra-High-Definition Low-Light Image Enhancement. - Hiroki Matsutani, Radu Marculescu:
A Tiny Supervised ODL Core with Auto Data Pruning for Human Activity Recognition. - Liuyuan Wen:
Out-Of-Distribution Detection for Audio-visual Generalized Zero-Shot Learning: A General Framework. - Hannah Chen, Yangfeng Ji, David Evans:
The Mismeasure of Man and Models: Evaluating Allocational Harms in Large Language Models. - Renan R. de Oliveira, Kleber Vieira Cardoso, Antonio Oliveira Jr.:
Improving Energy Efficiency in Federated Learning Through the Optimization of Communication Resources Scheduling of Wireless IoT Networks. - Yihao Ding, Jean Lee, Soyeon Caren Han:
Deep Learning based Visually Rich Document Content Understanding: A Survey. - Dong Huo, Zixin Guo, Xinxin Zuo, Zhihao Shi, Juwei Lu, Peng Dai, Songcen Xu, Li Cheng, Yee-Hong Yang:
TexGen: Text-Guided 3D Texture Generation with Multi-view Sampling and Resampling. - Muhammad Ali, Salman Khan:
Underwater Object Detection Enhancement via Channel Stabilization. - Olga Ovcharenko, Rita Sevastjanova, Valentina Boeva:
Feature Clock: High-Dimensional Effects in Two-Dimensional Plots. - Brandon Alston, Illya V. Hicks:
Optimal Mixed Integer Linear Optimization Trained Multivariate Classification Trees. - Charles Oredola, Adnan Ashraf:
A Systematic Mapping Study on SDN Controllers for Enhancing Security in IoT Networks. - Reza Mirzaeifard, Diyako Ghaderyan, Stefan Werner:
Decentralized Smoothing ADMM for Quantile Regression with Non-Convex Sparse Penalties. - Ying Zhang, Dongyuan Li, Manabu Okumura:
Reconsidering Token Embeddings with the Definitions for Pre-trained Language Models. - Shuo Huang, Fred Jones, Nikolos Gurney, David V. Pynadath, Kunal Srivastava, Stoney Trent, Peggy Wu, Quanyan Zhu:
PsybORG+: Modeling and Simulation for Detecting Cognitive Biases in Advanced Persistent Threats. - Danpei Zhao, Zhuoran Liu, Bo Yuan:
TopoNAS: Boosting Search Efficiency of Gradient-based NAS via Topological Simplification. - Jiaqi Wang, Hanqi Jiang, Yiheng Liu, Chong Ma, Xu Zhang, Yi Pan, Mengyuan Liu, Peiran Gu, Sichen Xia, Wenjun Li, Yutong Zhang, Zihao Wu, Zhengliang Liu, Tianyang Zhong, Bao Ge, Tuo Zhang, Ning Qiang, Xintao Hu, Xi Jiang, Xin Zhang, Wei Zhang, Dinggang Shen, Tianming Liu, Shu Zhang:
A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks. - Viviana Giunzioni, Alberto Scazzola, Adrien Merlini, Francesco Paolo Andriulli:
Low-Frequency Stabilizations of the PMCHWT Equation for Dielectric and Conductive Media: On a Full-Wave Alternative to Eddy-Current Solvers. - Vito Mengers, Nicolas Roth, Oliver Brock, Klaus Obermayer, Martin Rolfs:
A Robotics-Inspired Scanpath Model Reveals the Importance of Uncertainty and Semantic Object Cues for Gaze Guidance in Dynamic Scenes. - He Zhu, Junyou Su, Tianle Lun, Yicheng Tao, Wenjia Zhang, Zipei Fan, Guanhua Chen:
FANNO: Augmenting High-Quality Instruction Data with Open-Sourced LLMs Only. - Sayan Bhattacharya, Martín Costa, Naveen Garg, Silvio Lattanzi, Nikos Parotsidis:
Fully Dynamic k-Clustering with Fast Update Time and Small Recourse. - Nail Akar, Melih Bastopcu, Sennur Ulukus, Tamer Basar:
Modeling Interfering Sources in Shared Queues for Timely Computations in Edge Computing Systems. - Cléophée Robin, Eileen Robinson:
Coloring bridge-free antiprismatic graphs. - Lisa Maile, Dominik Voitlein, Anna Arestova, Abdullah Soliman Alshra'a, Kai-Steffen Jens Hielscher, Reinhard German:
On the Effect of TSN Forwarding Mechanisms on Best-Effort Traffic. - Sifat Ut Taki, Arthi Padmanabhan, Spyridon Mastorakis:
UnifiedNN: Efficient Neural Network Training on the Cloud. - Xingyu Lou, Yu Yang, Kuiyao Dong, Heyuan Huang, Wenyi Yu, Ping Wang, Xiu Li, Jun Wang:
HMDN: Hierarchical Multi-Distribution Network for Click-Through Rate Prediction. - Sven Lilge, Timothy D. Barfoot:
Incorporating Control Inputs in the Estimation of Continuous Mobile Robot Trajectories and Continuum Robot Shapes. - Xiaoshuai Chen, Wei Chen, Dongmyoung Lee, Yukun Ge, Nicolas Rojas, Petar Kormushev:
A Backbone for Long-Horizon Robot Task Understanding. - Benno Weck, Ilaria Manco, Emmanouil Benetos, Elio Quinton, George Fazekas, Dmitry Bogdanov:
MuChoMusic: Evaluating Music Understanding in Multimodal Audio-Language Models. - Yunwen Xia, Hui Fang, Jie Zhang, Chong Long:
Leveraging Knowledge Graph Embedding for Effective Conversational Recommendation. - Bingyu Li, Da Zhang, Zhiyuan Zhao, Junyu Gao, Xuelong Li:
StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation. - Anders Giovanni Møller, Luca Maria Aiello:
Prompt Refinement or Fine-tuning? Best Practices for using LLMs in Computational Social Science Tasks. - Yue Duan, Zhangxuan Gu, Zhenzhe Ying, Lei Qi, Changhua Meng, Yinghuan Shi:
PC2: Pseudo-Classification Based Pseudo-Captioning for Noisy Correspondence Learning in Cross-Modal Retrieval. - Kaiwen Ning, Jiachi Chen, Qingyuan Zhong, Tao Zhang, Yanlin Wang, Wei Li, Yu Zhang, Weizhe Zhang, Zibin Zheng:
MCGMark: An Encodable and Robust Online Watermark for LLM-Generated Malicious Code. - Peng Ding, Jingyu Wu, Jun Kuang, Dan Ma, Xuezhi Cao, Xunliang Cai, Shi Chen, Jiajun Chen, Shujian Huang:
Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed Inputs. - Yuanzhi Su, Siyuan Chen, Yuan-Gen Wang:
Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation. - Jheng-Hong Yang, Jimmy Lin:
Toward Automatic Relevance Judgment using Vision-Language Models for Image-Text Retrieval Evaluation. - Zizheng Guo, Pengyu Chen, Yanzhang Fu, Dongjing Miao:
Data Debugging is NP-hard for Classifiers Trained with SGD. - Ruoxuan Feng, Di Hu, Wenke Ma, Xuelong Li:
Play to the Score: Stage-Guided Dynamic Multi-Sensory Fusion for Robotic Manipulation. - Takashi Furuya, Maarten V. de Hoop, Gabriel Peyré:
Transformers are Universal In-context Learners. - Runze Yuan, Tao Liu, Zijia Dai, Yi-Fan Zuo, Laurent Kneip:
EVIT: Event-based Visual-Inertial Tracking in Semi-Dense Maps Using Windowed Nonlinear Optimization. - Muhammad Ahmad, Muhammad Hassaan Farooq Butt, Muhammad Usama, Adil Mehmood Khan, Manuel Mazzara, Salvatore Distefano, Hamad Ahmed Altuwaijri, Swalpa Kumar Roy, Jocelyn Chanussot, Danfeng Hong:
Spatial-Spectral Morphological Mamba for Hyperspectral Image Classification. - Yen-Che Hsiao, Abhishek Dutta:
Hybrid Coordinate Descent for Efficient Neural Network Learning Using Line Search and Gradient Descent. - Victor A. Borza, Andrew Estornell, Ellen Wright Clayton, Chien-Ju Ho, Russell Rothman, Yevgeniy Vorobeychik, Bradley A. Malin:
Adaptive Recruitment Resource Allocation to Improve Cohort Representativeness in Participatory Biomedical Datasets. - Prattyush Mangal, Carol Mak, Theo Kanakis, Timothy Donovan, Dave Braines, Edward Pyzer-Knapp:
Coalitions of Large Language Models Increase the Robustness of AI Agents. - Paul-Gauthier Noé, Miquel Perelló-Nieto, Jean-François Bonastre, Peter A. Flach:
Explaining a probabilistic prediction on the simplex with Shapley compositions. - Bohan Zhou, Jiangxing Wang, Zongqing Lu:
NOLO: Navigate Only Look Once. - Shixun Wu, Yitong Ding, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Bryan M. Wong, Zizhong Chen, Franck Cappello:
FT K-means: A High-Performance K-means on GPU with Fault Tolerance. - Mengyu Bu, Shuhao Gu, Yang Feng:
Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic Features. - Benjamin Dörich, Julian Dörner, Marlis Hochbruck:
Error analysis of DGTD for linear Maxwell equations with inhomogeneous interface conditions. - Yu Yang, Pan Xu:
Pre-trained Language Models Improve the Few-shot Prompt Ability of Decision Transformer. - Yen-Che Hsiao, Rongting Yue, Abhishek Dutta:
Derivation of Back-propagation for Graph Convolutional Networks using Matrix Calculus and its Application to Explainable Artificial Intelligence. - Jonas Latz:
The random timestep Euler method and its continuous dynamics. - Zhanhao Zhang, Ruifan Yang, Manxi Wu:
A Game Theoretic Analysis of High Occupancy Toll Lane Design. - Xiaolong Jin, Kai Wang, Dongwen Tang, Wangbo Zhao, Yukun Zhou, Junshu Tang, Yang You:
Conditional LoRA Parameter Generation. - Aaron Mueller, Jannik Brinkmann, Millicent L. Li, Samuel Marks, Koyena Pal, Nikhil Prakash, Can Rager, Aruna Sankaranarayanan, Arnab Sen Sharma, Jiuding Sun, Eric Todd, David Bau, Yonatan Belinkov:
The Quest for the Right Mediator: A History, Survey, and Theoretical Grounding of Causal Interpretability. - Yilun Hua, Yoav Artzi:
Talk Less, Interact Better: Evaluating In-context Conversational Adaptation in Multimodal LLMs. - Rongwu Xu, Xuan Qi, Zehan Qi, Wei Xu, Zhijiang Guo:
DebateQA: Evaluating Question Answering on Debatable Knowledge. - Jingtong Su, Julia Kempe, Karen Ullrich:
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs. - Xiangyu Zhao, Chengqian Ma:
Prompt Recursive Search: A Living Framework with Adaptive Growth in LLM Auto-Prompting. - Weihao Jiang, Shuoxi Zhang, Kun He:
Siamese Transformer Networks for Few-shot Image Classification. - Minghui Li, Jiangxiong Wang, Hao Zhang, Ziqi Zhou, Shengshan Hu, Xiaobing Pei:
Transferable Adversarial Facial Images for Privacy Protection. - Shiwen He, Kanghong Chen, Shiyue Huang, Wei Huang, Zhenyu An:
An Agile Adaptation Method for Multi-mode Vehicle Communication Networks. - Gongjin Lan, Yang Peng, Qi Hao, Chengzhong Xu:
SUSTechGAN: Image Generation for Object Recognition in Adverse Conditions of Autonomous Driving. - Simha Sankar Baradwaj, Destiny Gilliland, Jack Rincon, Henning Hermjakob, Yu Yan, Irsyad Adam, Gwyneth Lemaster, Dean Wang, Karol E. Watson, Alex Bui, Wei Wang, Peipei Ping:
Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models. - Divyansh Srivastava, Ge Yan, Tsui-Wei Weng:
VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance. - Malsha Ashani Mahawatta Dona, Beatriz Cabrero Daniel, Yinan Yu, Christian Berger:
Evaluating and Enhancing Trustworthiness of LLMs in Perception Tasks. - A'di Dust, Pat Levitt, Maja J. Mataric:
Behind the Smile: Mental Health Implications of Mother-Infant Interactions Revealed Through Smile Analysis. - Yongshuai Zheng, Guoliang Liu, Yan Ding, Guohui Tian:
A New Clustering-based View Planning Method for Building Inspection with Drone. - Yang You, Mikaela Angelina Uy, Jiaqi Han, Rahul Krishna Thomas, Haotong Zhang, Suya You, Leonidas J. Guibas:
Img2CAD: Reverse Engineering 3D CAD Models from Images through VLM-Assisted Conditional Factorization. - Rifat Ara Shams, Didar Zowghi, Muneera Bano:
AI for All: Identifying AI incidents Related to Diversity and Inclusion. - Maanas Kumar Sharma:
To Be, Or Not To Be?: Regulating Impossible AI in the United States. - Samar Shailendra, Rajan Kadel, Aakanksha Sharma:
Framework for Adoption of Generative Artificial Intelligence (GenAI) in Education. - Ashok Urlana, Charaka Vinayak Kumar, Bala Mallikarjunarao Garlapati, Ajeet Kumar Singh, Rahul Mishra:
No Size Fits All: The Perils and Pitfalls of Leveraging LLMs Vary with Company Size. - Ziheng Wang, Xinhe Li, Haruki Momma, Ryoichi Nagatomi:
MiranDa: Mimicking the Learning Processes of Human Doctors to Achieve Causal Inference for Medication Recommendation. - Vishwesh Sangarya, Richard M. Bradford, Jung-Eun Kim:
Estimating Environmental Cost Throughout Model's Adaptive Life Cycle. - Gerhard P. Fettweis, Patricia Grünberg, Tim Hentschel, Stefan Köpsell:
Conceptualizing Trustworthiness and Trust in Communications. - Daphne Lenders, Anne Oloo:
15 Years of Algorithmic Fairness - Scoping Review of Interdisciplinary Developments in the Field. - Holger Hermanns, Anne Lauber-Rönsberg, Philip Meinel, Sarah Sterz, Hanwei Zhang:
AI Act for the Working Programmer. - Zia Ud Din, Payam Mohammadi, Rachael Sherman:
A systematic review and analysis of the viability of virtual reality (VR) in construction work and education. - Mohammad Niknazar, Paul V. Haley, Latha Ramanan, Sang T. Truong, Yedendra Shrinivasan, Ayan Kumar Bhowmick, Prasenjit Dey, Ashish Jagmohan, Hema Maheshwari, Shom Ponoth, Robert Smith, Aditya Vempaty, Nick Haber, Sanmi Koyejo, Sharad Sundararajan:
Building a Domain-specific Guardrail Model in Production. - Aida Usmanova, Junbo Huang, Debayan Banerjee, Ricardo Usbeck:
Reporting and Analysing the Environmental Impact of Language Models on the Example of Commonsense Question Answering with External Knowledge.