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| 2025 | DBA-DFL: Towards Distributed Backdoor Attacks with Network Detection in Decentralized Federated Learning. Bohan Liu, Yang Xiao, Ruimeng Ye, Zinan Ling, Xiaolong Ma, Bo Hui |
| 2025 | DDT-Track: Optimizing Multi-Object Tracking in Sports Through DLIoU and TrackRematch. JunWei Mu, Yongmei Liu, Ming Ma |
| 2025 | DEEPGRAPHLOG for Layered Neurosymbolic AI. Adem Kikaj, Giuseppe Marra, Floris Geerts, Robin Manhaeve, Luc De Raedt |
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| 2025 | DRACS: Diachronic Representation of Argument Construction Styles. Yevhen Kostiuk, John Lawrence, Chris Reed |
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| 2025 | Degree of Staleness-Aware Data Updating in Federated Learning. Tao Liu, Xuehe Wang |
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| 2025 | Detecting Struggling Student Programmers Using Proficiency Taxonomies. Noga Schwartz, Roy Fairstein, Avi Segal, Kobi Gal |
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| 2025 | Detection of Unknown Substances in Operation Environments Using Multispectral Imagery and Autoencoders. Peer Schütt, Jonas Grzesiak, Christoph Geiß, Tobias Hecking |
| 2025 | DiFair-LLM: Evaluating Fairness Disparities in LLMs Toward Demographic Groups. Nurit Cohen-Inger, Roei Zaady, Adir Solomon, Lior Rokach, Bracha Shapira |
| 2025 | DiTAC: Discrete Teamwork Abstraction for Ad Hoc Collaboration. Jing Wang, Pengjie Gu, Mengchen Zhao, Guangyong Chen, Furui Liu, Pheng-Ann Heng |
| 2025 | DialogGraph-LLM: Graph-Informed LLMs for End-to-End Audio Dialogue Intent Recognition. Hongyu Liu, Junxin Li, Changxi Guo, Hao Chen, Yaqian Huang, Yifu Guo, Huan Yang, Lihua Cai |
| 2025 | Diffusion Model Bridges Search Behavior and Travel Needs for Practical Traffic Forecasting. Lifeng Lin, Hangli Ge, Noboru Koshizuka |
| 2025 | Diffusion Model Is a Good Steganalyzer: Magnifying Subtle Perturbations in Image Data. Xiaoxiao Hu, Jiaqi Jin, Shengjiu Dai, Sheng Li, Xinpeng Zhang, Zhenxing Qian |
| 2025 | Diffusion Noise Feature: Accurate and Fast Generated Image Detection. Yichi Zhang, Xiaogang Xu |
| 2025 | Discovering Latent Knowledge Prototypes for Heterogeneous Federated Learning. Qilei Li, Ahmed M. Abdelmoniem |
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| 2025 | Distilling Reinforcement Learning into Single-Batch Datasets. Connor Wilhelm, Dan Ventura |
| 2025 | Distributed Detection of Adversarial Attacks in Multi-Agent Reinforcement Learning with Continuous Action Space. Kiarash Kazari, Ezzeldin Shereen, György Dán |
| 2025 | District-Limited Bribery in Multidistrict Apportionment Elections with Threshold. Joanna Kaczmarek, Jörg Rothe, Tessa Seeger |
| 2025 | DivCon: Divide and Conquer for Complex Numerical and Spatial Reasoning in Text-to-Image Generation. Yuhao Jia, Wenhan Tan |
| 2025 | Diversity-Aware Self-Paced Data Selection for LLM Fine-Tuning. Yingxuan Yang, Huayi Wang, Muning Wen, Xiaoyun Mo, Qiuying Peng, Jun Wang, Weinan Zhang |
| 2025 | Diving into Gender Translation Bias for the Portuguese Language. Sofia Bonifácio, Helena Moniz, Luísa Coheur |
| 2025 | DmC: Nearest Neighbor Guidance Diffusion Model for Offline Cross-Domain Reinforcement Learning. Linh Le Pham Van, Minh Hoang Nguyen, Duc Kieu, Hung Le, Hung The Tran, Sunil Gupta |
| 2025 | Do Explanations Expose Bias? How Saliency Maps Affect Judgements of Biased Face-Recognition Models. Justyn Rodrigues, Krista A. Ehinger, Oliver Obst, X. Rosalind Wang |
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| 2025 | Domain Generalization via Pareto Optimal Gradient Matching. Khoi Do, Nam-Khanh Le, Quoc-Viet Pham, Binh-Son Hua, Won-Joo Hwang, Duong Nguyen |
| 2025 | Don't Stop Pre-Training Small Language Models for Continual Enhancement of Reasoning. Qing Li, Qibin Zheng, Yi Liu, Xingchun Diao |
| 2025 | Dual-Axis Domain Alignment for Blur-Robust Object Detection. Hanjin Yang, Feng Li, Liwen Shi, Shupei Yuan |
| 2025 | Dual-Center Graph Clustering with Neighbor Distribution. Enhao Cheng, Shoujia Zhang, Jianhua Yin, Li Jin, Liqiang Nie |
| 2025 | Dual-Path Adaptive-Correlation Spatial-Temporal Inverted Transformer for Stock Time Series Forecasting. Wenbo Yan, Shurui Wang, Ying Tan |
| 2025 | Dual-Space Contrastive Learning with Abnormal Edge Suppression for Graph Anomaly Detection. Mark Junjie Li, Shiyang He, Jun Li, Jinren Li, Gen Zhao, Jiang Liu, Sunjie Huang |
| 2025 | Dynamic Model Fusion for Multi-Source Test-Time Adaptation. Yuan Xue, Qinting Jiang, Yuan Meng, Xingxuan Zhang, Chen Tang, Jingyan Jiang, Zhi Wang |
| 2025 | Dynamic Multi-Target Fusion for Efficient Audio-Visual Navigation. Yinfeng Yu, Hailong Zhang, Meiling Zhu |
| 2025 | Dynamic Task-Adaptive Meta Optimization for Cold-Start Recommendation. Tushar Prakash, Raksha Jalan, Brijraj Singh, Niranjan Pedanekar |
| 2025 | ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy - Including 14th Conference on Prestigious Applications of Intelligent Systems (PAIS 2025) Inês Lynce, Nello Murano, Mauro Vallati, Serena Villata, Federico Chesani, Michela Milano, Andrea Omicini, Mehdi Dastani |
| 2025 | EDSVM: A Novel Approach for Environment Drift Detection in Reinforcement Learning Using Synthetic Drifted Examples. Zhizhou Fang, Uwe Zdun |
| 2025 | EFX Orientations of Multigraphs. Kevin Hsu |
| 2025 | EMTSF: Extraordinary Mixture of SOTA Models for Time Series Forecasting. Musleh Alharthi, Kaleel Mahmood, Sarosh H. Patel, Ausif Mahmood |
| 2025 | EP-ViT: Leveraging Encoding Priors to Eliminate Spatio-Temporal Redundancy in Vision Transformer. Yawen Qiu, Qinyu Wang, Zhiheng Li, Qiyuan Liu |
| 2025 | ESAG-KGQA: An Entity Shuffling-Augmented Generation Framework for Knowledge Graph Question Answering with Fine-Tuned Large Language Models. Xiujun Zhou, Pingjian Zhang, Deyou Tang |
| 2025 | Early Detection of Skills Demand with Deep Learning-Based Timeline Cover on Temporal Knowledge Graph. Giorgio Lazzarinetti, Christian Scquizzato, Alessandro Mangone, Jacopo Marcolini |
| 2025 | EcoFair-CH-MARL: Scalable Constrained Hierarchical Multi-Agent RL with Real-Time Emission Budgets and Fairness Guarantees. Saad Alqithami |
| 2025 | Edge-Centric Heterogeneous Graph Transformer with Vector-Quantized Memory. Qiannan Zhang, Shichao Pei |
| 2025 | Effective Data Generation and Feature Selection in Learning for Planning. Mingyu Hao, Dillon Z. Chen, Felipe W. Trevizan, Sylvie Thiébaux |
| 2025 | Effective Sample Size Estimation Based on the Concordance Between p-Value and Posterior Probability of the Null Hypothesis. Han Wang, Yan Dora Zhang, Guosheng Yin |
| 2025 | Efficient Branch-and-Bound for Submodular Function Maximization Under Knapsack Constraint. Yimin Hao, Yi Zhou, Chao Xu, Zhang-Hua Fu |
| 2025 | Efficient Computation of Blackwell Optimal Policies Using Rational Functions. Dibyangshu Mukherjee, Shivaram Kalyanakrishnan |
| 2025 | Efficient Context Propagating Perceiver Architectures for Auto-Regressive Language Modeling. Kaleel Mahmood, Shaoyi Huang |
| 2025 | Efficient Emission Monitoring in Gas Turbines: A Conformal Adaptive Learning Approach. David Alexander Moe, Alberto Rossi, Leonardo Pulga, Laure Barriere, Carmine Allegorico |
| 2025 | Efficient Inference of Sources and Targets in a Graph with Limited Observations. Wanrong Yang, Dominik Wojtczak |
| 2025 | Efficient Learning of Weak Deterministic Büchi Automata. Mona Alluwaym, Yong Li, Sven Schewe, Qiyi Tang |
| 2025 | Efficient Semi-DETR: Real Time End-to-End Semi-Supervised Object Detection. Zihao Xin, Wentong Li, Jie Qin, Shengjun Huang |
| 2025 | Efficient Sparse Flow Decomposition Methods for RNA Multi-Assembly. Mathieu Besançon |
| 2025 | Efficient Speech Separation with Differencing. Joel Rixen, Matthias Renz |
| 2025 | Emergence of Fair Leaders via Mediators in Multi-Agent Reinforcement Learning. Akshay Dodwadmath, Setareh Maghsudi |
| 2025 | Enabling Responsible AI with Humans. Nadin Kökciyan |
| 2025 | Enabling Weak Client Participation via On-Device Knowledge Distillation in Heterogeneous Federated Learning. Jihyun Lim, Junhyuk Jo, Tuo Zhang, Sunwoo Lee |
| 2025 | Endexformer: Hierarchical Endogenous-Exogenous Synergy for Multivariate Time Series Forecasting. Zhiquan Huang, Ruijuan Zheng, Junlong Zhu, Luxin Liu, Meiwen Li, Ming Liu |
| 2025 | Enhancing CBBA Convergence and Optimality Guarantees in Multiagent Task Allocation. Alexandre Kha, Aurélie Beynier, Christophe Labreuche, Mathieu Marchand |
| 2025 | Enhancing Fairness in Autoencoders for Node-Level Graph Anomaly Detection. Shouju Wang, Yuchen Song, Sheng'en Li, Dongmian Zou |
| 2025 | Enhancing Few Shot Named Entity Recognition via Label Semantic Description and Diversity Text. Hui Wang, Fang Du, Jiakun Li, Yu Feng |
| 2025 | Enhancing Learning of Spiking Neural Networks Through Normalization with Time-Based Statistics Estimation. Lei Liu, Chengting Yu, Kainan Wang, Aili Wang |
| 2025 | Enhancing Local Search for MaxSAT with Deep Differentiation Clause Weighting. Menghua Jiang, Haokai Gao, Shuhao Chen, Yin Chen |
| 2025 | Enhancing Testing of MASs with a Simulator of JADE. Daniela Briola, Giuseppe Vizzari, Mauro Montinaro |
| 2025 | Enhancing Trust-Region Bayesian Optimization via Newton Methods. Quanlin Chen, Yiyu Chen, Jing Huo, Tianyu Ding, Yang Gao, Yuetong Chen |
| 2025 | Enhancing Visual Understanding in Multimodal Large Language Models with Efficient Feature Alignment and State Space Models. Wenjun Huang, Jiakai Pan, Jiahao Tang, Yifei Xing, Yuhe Wang, Zhengzhuo Wang, Shengzhi Shen, Jianguo Hu |
| 2025 | Enhancing Zero-Shot Learning of Pathology Vision-Language Foundation Models in Tumour Malignancy Recognition. Xiao Wang, Usman Naseem, Jinman Kim |
| 2025 | Enriching Taxonomies Using Large Language Models. Zeinab Ghamlouch, Mehwish Alam |
| 2025 | Ensemble Manifold Learning via Model Averaging. Ruoxu Tan, Guosheng Yin |
| 2025 | Evaluating and Fine-Tuning Vision-Language Models for Industrial Manufacturing in Low-Data Regimes. Giorgio Manganini, Giulia Vilone, Mark Langtry, Prashanth Viswanath, Jim Gibbons, Paul Heraty |
| 2025 | Evaluating the Simulation of Human Personality-Driven Susceptibility to Misinformation with LLMs. Manuel Pratelli, Marinella Petrocchi |
| 2025 | ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts. Patryk Bedkowski, Jan Dubinski, Filip Szatkowski, Kamil Deja, Przemyslaw Rokita, Tomasz Trzcinski |
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| 2025 | Explainable Multimodal Hybrid Vision Transformers for Emotional Speech Recognition. Pawel Powroznik, Maria Skublewska-Paszkowska, Krzysztof Dziedzic, Marcin Barszcz, Kinga Chwaleba, Weronika Wach, Vimala Nunavath |
| 2025 | Explainable Prediction of the Mechanical Properties of Composites with CNNs. Varun Raaghav, Dimitrios Bikos, Antonio Rago, Francesca Toni, Maria Charalambides |
| 2025 | Exploiting GenAI for Plan Generation in BDI Agents. Giovanni Ciatto, Gianluca Aguzzi, Riccardo Battistini, Martina Baiardi, Samuele Burattini, Alessandro Ricci |
| 2025 | Exploiting Symbolic Heuristics for the Synthesis of Domain-Specific Temporal Planning Guidance Using Reinforcement Learning. Irene Brugnara, Alessandro Valentini, Andrea Micheli |
| 2025 | Exploring Boundary-Aware Spatial-Frequency Fusion for Camouflaged Object Detection. Song Yu, Yang Hu, Haokang Ding, Zhifang Liao, Yucheng Song |
| 2025 | Exploring Topological Bias in Heterogeneous Graph Neural Networks. Yihan Zhang |
| 2025 | Exploring the Effect of Explanation Content and Format on User Comprehension and Trust in Healthcare. Antonio Rago, Bence Pálfi, Purin Sukpanichnant, Kavyesh Vivek, Hannibal Nabli, Olga Kostopoulou, James Kinross, Francesca Toni |
| 2025 | FAIRGAME: A Framework for AI Agents Bias Recognition Using Game Theory. Alessio Buscemi, Daniele Proverbio, Alessandro Di Stefano, The Anh Han, German Castignani, Pietro Liò |
| 2025 | FASL-Seg: Anatomy and Tool Segmentation of Surgical Scenes. Muraam Abdel-Ghani, Mahmoud Ali, Mohamed Ali, Fatmaelzahraa Ahmed, Mohamed Arsalan, Abdulaziz Al-Ali, Shidin Balakrishnan |
| 2025 | FCAD: Feature-Coupled Anisotropic Diffusion for Continuous Graph Learning. Amitoz Azad, Zhiyuan Zhang |
| 2025 | FDS-Net: A Frequency-Decomposed Synergistic Network for Multivariate Time Series Prediction. Zhijiang Wang, Yuqi Li, Jinzhe Liang, Keyan Jin |
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| 2025 | FGML-DG: Feynman-Inspired Cognitive Science Paradigm for Cross-Domain Medical Image Segmentation. Yucheng Song, Chenxi Li, Haokang Ding, Zhining Liao, Zhifang Liao |
| 2025 | FITS: Towards an AI-Driven Fashion Information Tool for Sustainability. Daphne Theodorakopoulos, Elisabeth Eberling, Miriam Bodenheimer, Sabine Loos, Frederic T. Stahl |
| 2025 | FPBoost: Fully Parametric Gradient Boosting for Survival Analysis. Alberto Archetti, Eugenio Lomurno, Diego Piccinotti, Matteo Matteucci |
| 2025 | FPLinear: Frequency-Pruned Linear Modeling for Efficient Time-Series Forecasting on Resource-Constrained Platforms. Shiji Jin, Wenjie Zhao |
| 2025 | FTCFormer: Fuzzy Token Clustering Transformer for Image Classification. Muyi Bao, Changyu Zeng, Yifan Wang, Zhengni Yang, Zimu Wang, Guangliang Cheng, Jun Qi, Wei Wang |
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| 2025 | Facilitating Matches on Allocation Platforms. Yohai Trabelsi, Abhijin Adiga, Yonatan Aumann, Sarit Kraus, S. S. Ravi |
| 2025 | FactNET: A Granular Fact-Checking Assistant Framework for Complex Claims. Géraud Faye, Wassila Ouerdane, Guillaume Gadek, Sylvain Gatepaille, Céline Hudelot |
| 2025 | Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization's Impact on ML Fairness. Héber Hwang Arcolezi, Mina Alishahi, Adda-Akram Bendoukha, Nesrine Kaaniche |
| 2025 | FairFed++: Closing the Fairness Gap in Federated Learning Through Self-Evolving Clustered Optimization. Zhixiang Fang, Baoyao Yang, Weide Zhan, Yanchao Tang, Yiqun Zhang |
| 2025 | FairFusion: Debiasing Diffusion Models for Fair Synthetic Tabular Data Generation. Ruma Roy, Darshika Tiwari, Anubha Pandey |
| 2025 | Fairness-Aware Grouping for Continuous Sensitive Variables: Application for Debiasing Face Analysis with Respect to Skin Tone. Veronika Shilova, Emmanuel Malherbe, Giovanni Palma, Laurent Risser, Jean-Michel Loubes |
| 2025 | Faster Lifting for Ordered Domains with Predecessor Relations. Kuncheng Zou, Jiahao Mai, Yonggang Zhang, Yuyi Wang, Ondrej Kuzelka, Yuanhong Wang, Yi Chang |
| 2025 | Feature Drift Oriented Distribution Reconstruction for Imbalanced Class Incremental Learning. Tingmin Li, Fengqiang Wan, Yipeng Lin, Yang Yang |
| 2025 | Fed2RC: Federated Rocket Kernels and Ridge Classifier for Time Series Classification. Bruno Casella, Samuele Fonio, Lorenzo Sciandra, Claudio Gallicchio, Marco Aldinucci, Mirko Polato, Roberto Esposito |
| 2025 | FedHigh: A Graph-Guided Aggregation Framework for Layer-Wised Personalized Federated Learning. Haizhou Du, Chongyi Qiu, Huan Huo |
| 2025 | FedSODA: Federated Fine-Tuning of LLMs via Similarity Group Pruning and Orchestrated Distillation Alignment. Manning Zhu, Songtao Guo, Pengzhan Zhou, Yansong Ning, Chang Han, Dewen Qiao |
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| 2025 | FedVLM: Scalable Personalized Vision-Language Models Through Federated Learning. Arkajyoti Mitra, Afia Anjum, Paul Agbaje, Mert D. Pesé, Habeeb Olufowobi |
| 2025 | Federated Learning for Cross-Dataset Generalization in Litter Detection. Luciano Baresi, Simone Bianco, Livia Lestingi, Iyad Wehbe |
| 2025 | FenGePad-A Tangible Multi-Prompt Interactive Framework for Deep Dune Segmentation. Zheng Jiang, Haonan Kang, Zifeng Wu, Wei Wang, Gaowei Zhang, Eerdun Hasi, Xiaohan Sun, Yi Wang |
| 2025 | Few-Shot Essay Grading: Weighted Prototypical Networks for Ordinal Text Classification. Vihanga Ashinsana Wijayasekara, Kyle Martin, Nirmalie Wiratunga, Stewart Massie, Anjana Wijekoon |
| 2025 | Few-Shot Relation Extraction via Semantically Related Negative Samples. Delong Han, Hongyu Hao, Jin Wan, Gang Li, Min Li, Mingle Zhou |
| 2025 | Fin-Ally: Pioneering the Development of an Advanced, Commonsense-Embedded Conversational AI for Money Matters. Sarmistha Das, Priya Mathur, Ishani Sharma, Sriparna Saha, Kitsuchart Pasupa, Alka Maurya |
| 2025 | First-Order LTLf Synthesis with Lookback. Sarah Winkler |
| 2025 | Flexible Blood Glucose Control: Offline Reinforcement Learning from Human Feedback. Harry Emerson, Sam Gordon James, Matthew Guy, Ryan McConville |
| 2025 | Formal Local Implication Between Two Neural Networks. Anahita Baninajjar, Ahmed Rezine, Amir Aminifar |
| 2025 | Forward Only Learning for Orthogonal Neural Networks of Any Depth. Paul Caillon, Alex Colagrande, Erwan Fagnou, Blaise Delattre, Alexandre Allauzen |
| 2025 | Frame, Focus, and Capture: Enhancing Camouflaged Object Detection via Depth of Field. Haiyan Chen, Longwu Yang, Yuhang Qian, Jie Qin |
| 2025 | From Benchmarking to Understanding FairML. Mykola Pechenizkiy, Hilde J. P. Weerts, Cassio de Campos, Yuya Sasaki, Julia Stoyanovich |
| 2025 | From Bits to Boardrooms: A Cutting-Edge Multi-Agent LLM Framework for Business Excellence. Zihao Wang, Junming Zhang |
| 2025 | From Competition to Centralization: The Oligopoly in Ethereum Block Building Auctions. Fei Wu, Thomas Thiery, Stefanos Leonardos, Carmine Ventre |
| 2025 | From Grounding to Planning: Benchmarking Bottlenecks in Web Agents. Segev Shlomov, Ben Wiesel, Aviad Sela, Ido Levy, Liane Galanti, Roy Abitbol |
| 2025 | From Models to Network Topologies: A Topology Inference Attack in Decentralized Federated Learning. Chao Feng, Yuanzhe Gao, Alberto Huertas Celdrán, Gérôme Bovet, Burkhard Stiller |
| 2025 | From Noise to Precision: A Diffusion-Driven Approach to Zero-Inflated Precipitation Prediction. Wentao Gao, Jiuyong Li, Lin Liu, Thuc Duy Le, Xiongren Chen, Xiaojing Du, Jixue Liu, Yanchang Zhao, Yun Chen |
| 2025 | From Order Lifting to Social Ranking: Recovering Preferences from Partial Extensions. Ariane Ravier, Sébastien Konieczny, Stefano Moretti, Paolo Viappiani |
| 2025 | From Raw Feeds to Curated Clips: A Modular AI Framework for Sports Highlight Production. Bruno Cabado, Bertha Guijarro-Berdiñas, Emilio J. Padrón |
| 2025 | From Surface to Semantics: Semantic Structure Parsing for Table-Centric Document Analysis. Xuan Li, Jialiang Dong, Raymond Wong |
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| 2025 | Frozen in Time: Parameter-Efficient Time Series Transformers via Reservoir-Induced Feature Expansion and Fixed Random Dynamics. Pradeep Singh, Mehak Sharma, Anupriya Dey, Balasubramanian Raman |
| 2025 | Full-History Graphs with Edge-Type Decoupled Networks for Temporal Reasoning. Osama Mohammed, Jiaxin Pan, Mojtaba Nayyeri, Daniel Hernández, Steffen Staab |
| 2025 | Fusion-PSRO: Nash Policy Fusion for Policy Space Response Oracles. Jiesong Lian, Yucong Huang, Chengdong Ma, Mingzhi Wang, Ying Wen, Long Hu, Yixue Hao |
| 2025 | GCQ-ViT: Group-Aware Collaborative Post-Training Quantization for Vision Transformers. Pan Peng, Wenbin Guo, Ping Wei, Wei Zhou |
| 2025 | GEA: Generation-Enhanced Alignment for Text-to-Image Person Retrieval. Hao Zou, Runqing Zhang, Xue Zhou, Jianxiao Zou |
| 2025 | GEMPA: Graph-Enhanced Multimodal Prototype Alignment for Class Incremental Learning. Yuling Chen, Zhenming Zhang, Chunxia Ren, Zixuan Zhong, Li Xiao |
| 2025 | GLEAM: Parameter-Efficient Transfer Learning via Global Share Local Transform Mixture-of-Experts. Jiarui Zhang, Yue Xin, Yaoming Wang, Wenrui Dai, Ziyang Zheng, Chenglin Li, Junni Zou, Hongkai Xiong |
| 2025 | GRADSTOP: Early Stopping of Gradient Descent via Posterior Sampling. Arash Jamshidi, Lauri Seppäläinen, Katsiaryna Haitsiukevich, Hoang Phuc Hau Luu, Anton Björklund, Kai Puolamäki |
| 2025 | GRASPED: Graph Anomaly Detection Using Autoencoder with Spectral Encoder and Decoder. Wei Herng Choong, Jixing Liu, Ching-yu Kao, Philip Sperl |
| 2025 | GUIDE: Guidance-Based Incremental Learning with Diffusion Models. Bartosz Cywinski, Kamil Deja, Tomasz Trzcinski, Bartlomiej Twardowski, Lukasz Kucinski |
| 2025 | Generalized Proof-Number Monte-Carlo Tree Search. Jakub Kowalski, Dennis J. N. J. Soemers, Szymon Kosakowski, Mark H. M. Winands |
| 2025 | Generating Clinically Realistic EHR Data via a Hierarchy- and Semantics-Guided Transformer. Guanglin Zhou, Sebastiano Barbieri |
| 2025 | Generative AI as Digital Representatives in Collective Decision-Making: A Game-Theoretical Approach. Kexin Chen, Jianwei Huang, Yuan Luo |
| 2025 | Generative Agents for Multi-Agent Autoformalization of Interaction Scenarios. Agnieszka Mensfelt, Kostas Stathis, Vince Trencsenyi |
| 2025 | GeoPl@ntNet: A Platform for Exploring Essential Biodiversity Variables. Lukás Picek, César Leblanc, Alexis Joly, Pierre Bonnet, Rémi Palard, Maximilien Servajean |
| 2025 | GeoSAM: Fine-Tuning SAM with Multi-Modal Prompts for Mobility Infrastructure Segmentation. Rafi Ibn Sultan, Chengyin Li, Hui Zhu, Prashant Khanduri, Marco Brocanelli, Dongxiao Zhu |
| 2025 | Going Beyond LoRA Fine-Tuning with Hebb Learning: Blazingly Fast and Accurate. Alexander Demidovskij, Igor Salnikov, Olga Frolova, Aleksei Trutnev, Artyom Tugaryov, Yuri Ignatiev, Vasilisa Blyudova, Egor Zharikov, Irina Novikova |
| 2025 | Gradient Selection Tuning via Information Bottleneck. Xiaoxu Lin, Wei Li, Junwei Zhu, Ni Xu, Honghui Xu, Jianwei Zheng |
| 2025 | Grammar-Guided Evolutionary Search for Discrete Prompt Optimisation. Muzhaffar Hazman, Minh-Khoi Pham, Shweta Soundararajan, Goncalo Mordido, Leonardo Lucio Custode, David Lynch, Giorgio Cruciata, Yucheng Shi, Hongmeng Song, Wang Chao, Pan Yue, Aleksandar Milenovic, Alexandros Agapitos |
| 2025 | Graph Structure Learning with Temporal Graph Information Bottleneck for Inductive Representation Learning. Jiafeng Xiong, Rizos Sakellariou |
| 2025 | GraphSem: Robust Multi-Agent Reinforcement Learning via Semantic-Graph Communication. Zaipeng Xie, Yaowu Wang, Sitong Shen, Jianan Zhang |
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| 2025 | Guarded Query Routing for Large Language Models. Richard Sléher, William Brach, Tibor Sloboda, Kristián Kostál, Lukas Galke |
| 2025 | Guide the Diffusion: A Guidance Diffusion Approach to Time Series Forecasting. Yihang He, Khaled Alkilane, Der-Horng Lee |
| 2025 | Guided Gaussians: Enhancing 3D Occupancy Estimation with Sparse Sensor Priors. Amer Mustajbasic, Han Fu, Jialu Xu, Shuangshuang Chen, Erik Stenborg |
| 2025 | Gumbel-MPNN: Graph Rewiring with Gumbel-Softmax. Marcel Hoffmann, Lukas Galke, Ansgar Scherp |
| 2025 | H Wei Guo, Siyuan Lu, Yiqi Tong, Zhaojun Hu, Fuzhen Zhuang, Xiao Zhang, Tao Fan, Jin Dong |
| 2025 | HAT-Match: Graph Transformer with Hybrid Attention for Two-View Correspondence Pruning. Gang Wang, Bin Wu, Yufei Chen |
| 2025 | HI-PMK: A Data-Dependent Kernel for Incomplete Heterogeneous Data Representation. Youran Zhou, Mohamed Reda Bouadjenek, Jonathan R. Wells, Sunil Aryal |
| 2025 | HMAE: Self-Supervised Few-Shot Learning for Quantum Spin Systems. Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma |
| 2025 | HPA-FedGAN: Federated Generative Adversarial Network Based on Hierarchical Prototype Alignment. Zhigang Wang, Xinhao Wang, Shihao Yan, Junfeng Zhao |
| 2025 | HRS: Hybrid Representation Framework with Scheduling Awareness for Time Series Forecasting in Crowdsourced Cloud-Edge Platforms. Tiancheng Zhang, Cheng Zhang, Shuren Liu, Xiaofei Wang, Shaoyuan Huang, Wenyu Wang |
| 2025 | Harnessing Large Language Models for Efficient Crowd Management in Large-Scale Events. Blerina Spahiu, Marco Cremaschi, Andrea Maurino, Giuseppe Vizzari |
| 2025 | Harnessing Structured Knowledge: A Concept Map-Based Approach for High-Quality Multiple Choice Question Generation with Effective Distractors. Nicy Scaria, Silvester John Joseph Kennedy, Diksha Seth, Ananya Thakur, Deepak N. Subramani |
| 2025 | Heterogeneous Facility Location Game with Discrete Utility. Sergio Cabello, Arun Kumar Das, Jan Matyás Kristan, Tomás Valla |
| 2025 | History-Aware and Dynamic Client Contribution in Federated Learning. Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei |
| 2025 | Holistic Analysis on the Sustainability of Federated Learning Lifecycle in Real-World Industrial Settings. Hongliu Cao |
| 2025 | Hybrid Multi-View Approach Towards Augmenting Large Language Models for Human Activity Recognition. Suman Bhoi, Varsha Suresh, Wynne Hsu, Mong-Li Lee |
| 2025 | HynetImpute: Missing Pattern Specialized Imputation via Hypernetwork. Ken Cheong, William K. Cheung, Ivor W. Tsang |
| 2025 | HypER: Hyperbolic Echo State Networks for Capturing Stretch-and-Fold Dynamics in Chaotic Flows. Pradeep Singh, Sutirtha Ghosh, Ashutosh Kumar, Balasubramanian Hrishit B. Pa Raman |
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| 2025 | IEEnhanceNet: An Implicit and Explicit Enhancement-Based Framework for Malformed Tooth Segmentation in 3D Intraoral Scan Data. Qitao Shan, Sixian Chan, Jiafa Mao, Jingke Gu, Binyao Kong |
| 2025 | IGAff: Benchmarking Adversarial Iterative and Genetic Affine Algorithms on Deep Neural Networks. Sebastian-Vasile Echim, Andrei-Alexandru Preda, Dumitru-Clementin Cercel, Florin Pop |
| 2025 | IPBA: Imperceptible Perturbation Backdoor Attack in Federated Self-Supervised Learning. Jiayao Wang, Yang Song, Zhendong Zhao, Jiale Zhang, Junwu Zhu, Qilin Wu, Dongfang Zhao |
| 2025 | Identifying Super Spreaders in Multilayer Networks. Michal Czuba, Mateusz Stolarski, Adam Piróg, Piotr Bielak, Piotr Bródka |
| 2025 | Improving Actor-Critic Training with Steerable Action-Value Approximation Errors. Bahareh Tasdighi, Nicklas Werge, Yi-Shan Wu, Melih Kandemir |
| 2025 | Improving Context-Attribution with Semi-Supervised Cross-Encoders. Luca De Grandis, Francesco Maria Granata, Davide Costa, Antonio Lanza, Ermelinda Oro |
| 2025 | Improving Cross-Task Applicability of Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning. Yurui Li, Jianyu Zhang, Li Zhang, Shijian Li, Gang Pan |
| 2025 | Improving Reinforcement Learning Sample-Efficiency Using Local Approximation. Mohit Prashant, Arvind Easwaran |
| 2025 | Improving Resilient Planning Through Landmarks and Regressed State Formulas. Alberto Rovetta, Diego Aineto, Alfonso Emilio Gerevini, Enrico Scala, Ivan Serina |
| 2025 | Improving Text Style Transfer Using Masked Diffusion Language Models with Inference-Time Scaling. Tejomay Kishor Padole, Suyash P. Awate, Pushpak Bhattacharyya |
| 2025 | Improving Zero-Shot Generalization in Reinforcement Learning Through Abstract Representations. Tsai Shuo Kuo, Ryutaro Ichise |
| 2025 | Improving the CMSA Algorithm with Online Deep Learning. Jaume Reixach, Christian Blum |
| 2025 | In-Context Decision Making for Optimizing Complex AutoML Pipelines. Amir Rezaei Balef, Katharina Eggensperger |
| 2025 | Inclusive Easy-to-Read Text Generation for Individuals with Cognitive Impairments. François Ledoyen, Gaël Dias, Alexis Lechervy, Jérémie Pantin, Fabrice Maurel, Youssef Chahir, Elisa Gouzonnat, Mélanie Berthelot, Stanislas Moravac, Armony Altinier, Amy Khairalla |
| 2025 | Incorporating Pre-Trained Diffusion Models in Solving the Schrödinger Bridge Problem. Zhicong Tang, Tiankai Hang, Shuyang Gu, Dong Chen, Baining Guo |
| 2025 | Individual Consistency eXplorer (ICX): An Interactive Dashboard for the Exploration of Individual Fairness. Madeleine Waller, Odinaldo Rodrigues, Oana Cocarascu |
| 2025 | Inductive Cognitive Diagnosis Model Integrating the Characteristics of Learners' Answering Behavior. Linhao Zhou, Sheng-hua Zhong, Yan Liu |
| 2025 | Inferring Hidden Behavioral Signatures of Cyber Adversaries Using Inverse Reinforcement Learning. Aditya Shinde, Prashant Doshi |
| 2025 | Informed Learning for Estimating Drought Stress at Fine-Scale Resolution Enables Accurate Yield Prediction. Miro Miranda, Marcela Charfuelan, Matias Valdenegro-Toro, Andreas Dengel |
| 2025 | Instruction-Based Molecular Graph Generation with Unified Text-Graph Diffusion Model. Yuran Xiang, Haiteng Zhao, Chang Ma, Zhi-Hong Deng |
| 2025 | Integrality Gap of Nash Welfare Maximization with Money. Yuriy Dementiev, Nick Gravin, Artur Ignatiev |
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| 2025 | Interpretable Early Failure Detection via Machine Learning and Trace Checking-Based Monitoring. Andrea Brunello, Luca Geatti, Angelo Montanari, Nicola Saccomanno |
| 2025 | Investigating Mask-Text Contrastive Alignment in Semantic Segmentation. Federico D'Asaro, Andrea Bottino, Giuseppe Rizzo |
| 2025 | Investigating Sparsity of Self-Attention. Martin Garaj, Kisub Kim, Alexis Stockinger |
| 2025 | Investigating the Robustness of Deductive Reasoning with Large Language Models. Fabian Hoppe, Filip Ilievski, Jan-Christoph Kalo |
| 2025 | Is This a Good Decision? Action Optimality Checking in Classical Planning. Jan Eisenhut, Daniel Fiser, Wheeler Ruml, Jörg Hoffmann |
| 2025 | JOIG: Joint Optimization Model of Image Features and Constraint Geometry Fusion for Generalizable Gaussian. Shuo Yang, Jianbo Zhang, Yongming Han, Liang Yuan |
| 2025 | KG-HTC: Integrating Knowledge Graphs into LLMs for Zero-Shot Hierarchical Text Classification. Qianbo Zang, Igor Tchappi, Christophe Zgrzendek, Afshin Khadangi, Johannes Sedlmeir |
| 2025 | KNN and K-Means in Gini Prametric Spaces. Cassandra Mussard, Arthur Charpentier, Stéphane Mussard |
| 2025 | Keyword-Centric Prompting for One-Shot Event Detection with Self-Generated Rationale Enhancements. Ziheng Li, Zhi-Hong Deng |
| 2025 | Knowledge-Driven Bayesian Uncertainty Quantification for Reliable Fake News Detection. Julia Puczynska, Youcef Djenouri, Michal Bizon, Tomasz P. Michalak, Piotr Sankowski |
| 2025 | LAMM-ViT: AI Face Detection via Layer-Aware Modulation of Region-Guided Attention. Jiangling Zhang, Weijie Zhu, Jirui Huang, Yaxiong Chen |
| 2025 | LFA Applied to CNNs: Efficient Singular Value Decomposition of Convolutional Mappings by Local Fourier Analysis. Antonia van Betteray, Matthias Rottmann, Karsten Kahl |
| 2025 | LLM-ASPIC Xiaotong Fang, Zhaoqun Li, Chen Chen, Beishui Liao |
| 2025 | LLMs as Policy-Agnostic Teammates: A Case Study in Human Proxy Design for Heterogeneous Agent Teams. Aju Ani Justus, Chris Baber |
| 2025 | LLMs for Resource Allocation: A Participatory Budgeting Approach to Inferring Preferences. Sankarshan Damle, Boi Faltings |
| 2025 | LS-Mamba: Spatial-Spectral Mamba for Multispectral Cloud Image Semantic Segmentation. Qiong Wang, Zhiying Hu, Cong Bai |
| 2025 | LaMamba: Layer-Aware Mamba with Frequency-Spatial Fusion for Remote Sensing Image Super-Resolution. Mingyue Li, Chengyi Xiong, Zhirong Gao, Jiayi Ma |
| 2025 | LaPNER: Label-Aware Prompt Learning with Non-Entity Clustering Regularization for Few-Shot NER. Mark Junjie Li, Tao Zou, Sunjie Huang, Yigang Lin, Qilong Gong, Jun Li |
| 2025 | Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts. Pasquale De Marinis, Nicola Fanelli, Raffaele Scaringi, Emanuele Colonna, Giuseppe Fiameni, Gennaro Vessio, Giovanna Castellano |
| 2025 | Landmark-Assisted Monte Carlo Planning. David H. Chan, Mark Roberts, Dana S. Nau |
| 2025 | Language as a Predictor of Multiple Clinical Chronic Pain Assessments. Diogo A. P. Nunes, Joana Ferreira-Gomes, Fani Neto, Apkar Vania Apkarian, Paulo Branco, David Martins de Matos |
| 2025 | Large Language Models and Normalized Compression Distance: Better Compression Yet Worse Accuracy. John Hurwitz, Charles Nicholas, Edward Raff |
| 2025 | Last-Iterate Convergence in Adaptive Regret Minimization for Approximate Extensive-Form Perfect Equilibrium. Hang Ren, Xiaozhen Sun, Tianzi Ma, Jiajia Zhang, Xuan Wang |
| 2025 | Latent Knowledge Scalpel: Precise and Massive Knowledge Editing for Large Language Models. Xin Liu, Qiyang Song, Shaowen Xu, Kerou Zhou, Wenbo Jiang, Xiaoqi Jia, Weijuan Zhang, Heqing Huang, Yakai Li |
| 2025 | LeRAAT: LLM-Enabled Real-Time Aviation Advisory Tool. Marc R. Schlichting, Vale Rasmussen, Heba Alazzeh, Houjun Liu, Kiana Jafari Meimandi, Amelia F. Hardy, Dylan M. Asmar, Mykel J. Kochenderfer |
| 2025 | Learnable Multiple Cyclicity-Trend Decomposition for Long-Term Time Series Forecasting. Yiting Shi, Zhipeng Peng, Chongyun Qin, Jianliang Gao |
| 2025 | Learning After Model Deployment. Derda Kaymak, Gyuhak Kim, Tomoya Kaichi, Tatsuya Konishi, Bing Liu |
| 2025 | Learning Compact Representations of Constraint Networks. Christian Bessiere, Clément Carbonnel, Areski Himeur |
| 2025 | Learning Macroeconomic Policies Through Dynamic Stackelberg Mean-Field Games. Qirui Mi, Zhiyu Zhao, Chengdong Ma, Siyu Xia, Yan Song, Mengyue Yang, Jun Wang, Haifeng Zhang |
| 2025 | Learning Marked Temporal Point Process Explanations Based on Counterfactual and Factual Reasoning. Sishun Liu, Ke Deng, Xiuzhen Zhang, Yan Wang |
| 2025 | Learning Neural Strategy-Proof Matching Mechanism from Examples. Ryota Maruo, Koh Takeuchi, Hisashi Kashima |
| 2025 | Learning Robust Representation from Imbalanced Event Streams with Adaptive STDP. Junwei Zhao |
| 2025 | Learning a Universal Crime Predictor with Knowledge-Guided Hypernetworks. Fidan Karimova, Tong Chen, Yu Yang, Shazia Sadiq |
| 2025 | Learning an Efficient Optimizer via Hybrid-Policy Sub-Trajectory Balance. Yunchuan Guan, Yu Liu, Ke Zhou, Hui Li, Sen Jia, Zhiqi Shen, Ziyang Wang, Xinglin Zhang, Tao Chen, Jenq-Neng Hwang, Lei Li |
| 2025 | Learning in Repeated Multi-Objective Stackelberg Games with Payoff Manipulation. Phurinut Srisawad, Juergen Branke, Long Tran-Thanh |
| 2025 | Learning of Lifted Macro-Events for Heuristic-Search Temporal Planning. Alessandro La Farciola, Alessandro Valentini, Andrea Micheli |
| 2025 | Learning the Value Systems of Societies from Preferences. Andrés Holgado-Sánchez, Holger Billhardt, Sascha Ossowski, Sara Degli-Esposti |
| 2025 | Learning to InMoov: A Deep Learning Approach to Modeling Human Hand. Vasileios Kochliaridis, Chrysoula Moschou, Alexandra Dimitrakopoulou, Vlahavas P. Ioannis |
| 2025 | Learning to Reason: Temporal Saliency Distillation for Interpretable Knowledge Transfer. Nilushika Udayangani Hewa Dehigahawattage, Kishor Nandakishor, Marimuthu Palaniswami |
| 2025 | Learning to Suppress Backgrounds and Bidirectionally Fuse Modalities for RGB-D Gesture Recognition. Xin Hu, Yunan Li, Yulang Xu, Yilin Zhang, Zixiang Lu, Qiguang Miao |
| 2025 | Let Me Talk to You! Natural Language Interaction Between Humans and BDI Agents via ChatBDI. Andrea Gatti, Viviana Mascardi, Angelo Ferrando |
| 2025 | Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios. Luana Bulla, Gabriele Tuccio, Misael Mongiovì, Aldo Gangemi |
| 2025 | LexSemBridge: Fine-Grained Dense Representation Enhancement Through Token-Aware Embedding Augmentation. Shaoxiong Zhan, Hai Lin, Hongming Tan, Xiaodong Cai, Hai-Tao Zheng, Xin Su, Zifei Shan, Ruitong Liu, Hong-Gee Kim |
| 2025 | Lightning Decoupled Graph Neural Architecture Search for Fraud Detection. Tairan Huang, Changlong He, Yili Wang, Jianliang Gao |
| 2025 | Lightweight Backbone Networks Only Require Adaptive Lightweight Self-Attention Mechanisms. Fengyun Li, Chao Zheng, Yangyang Fang, Jialiang Lan, Jianhua Liang, Luhao Zhang, Fa Si |
| 2025 | LoRA Decompose: Serving Fine-Tuned Models into LoRA-Like. Yibo Han, Tangzhi Xu, Zenan Li, Yijia Zhang, Youshan Miao, Yuan Yao, Ningyi Xu |
| 2025 | LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters. Klaudia Balazy, Mohammadreza Banaei, Karl Aberer, Jacek Tabor |
| 2025 | Local Information Matters: A Rethink of Crowd Counting. Tianhang Pan, Xiuyi Jia |
| 2025 | Local Pairwise Distance Matching for Backpropagation-Free Reinforcement Learning. Daniel Tanneberg |
| 2025 | Long-Short Distance Graph Neural Networks and Improved Curriculum Learning for Emotion Recognition in Conversation. Xinran Li, Xiujuan Xu, Jiaqi Qiao |
| 2025 | Lossless Token Merging Even Without Fine-Tuning in Vision Transformers. Jaeyeon Lee, Dong-Wan Choi |
| 2025 | Low-Rank State Space Model for Multivariate Time Series Forecasting. Yongrong Wu, Houjin Chen, Hao Lan, Ruofan Ma, Lvqing Yang, Jiahao Wu, Xinyan Shen |
| 2025 | M-Rec: Leveraging Multi-View Feature to Reconstruction Incomplete Localization for Image Manipulation Detection. Sifan Wang, Yixun Zhang, Ye Yuan |
| 2025 | MAGIK: Mapping to Analogous Goals via Imagination-Enabled Knowledge Transfer. Ajsal Shereef Palattuparambil, Thommen George Karimpanal, Santu Rana |
| 2025 | MAGiC: An LLM-Powered Multi-Agent Framework for Unleashing Visual Creativity. Shilong Wang, Jian Zhao, Yawen Cui, Chi Zhang, Xuelong Li |
| 2025 | MCLPD: Multi-View Contrastive Learning for EEG-Based PD Detection Across Datasets. Qian Zhang, Ruilin Zhang, Jun Xiao, Yifan Liu, Zhe Wang |
| 2025 | MDCF-Net: Modality Decomposition and Compensation Fusion Network for Infrared-Visible Object Detection. Jiangtao Fan, Zeyu Xiao, Anish Jindal, Amir Atapour-Abarghouei |
| 2025 | MInF: Multi-Band Invariant Feature Learning for Efficient Inertial Navigation. Yan Li, Yingying Wang |
| 2025 | MOBILE: Mobility and Outage-Based Intelligent Federated Learning in Mobile Computing. Qiyuan Wang, Qianyu Long, Christos Anagnostopoulos |
| 2025 | MOCA-HESP: Meta High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces via Hyper-Ellipsoid Partitioning. Lam Ngo, Huong Ha, Jeffrey Chan, Hongyu Zhang |
| 2025 | MV-TSF: A Novel Multi-View Teacher-Student Framework for Myocardial Infarction Localization. Yupeng Qiang, Xunde Dong, Xiuling Liu, Yang Yang, Fei Hu, Rongjia Wang |
| 2025 | Machine Unlearning for Streaming Forgetting. Shaofei Shen, Chenhao Zhang, Yawen Zhao, Alina Bialkowski, Weitong Chen, Miao Xu |
| 2025 | Magic Mirror on the Wall, Which Is the Fairest Prompt of All? A Survey on Automatic Prompt Learning. Stefano Fantazzini, Giacomo Frisoni, Gianluca Moro, Luca Ragazzi, Mario Ciccioni, Claudio Sartori |
| 2025 | Maps of Tournaments: Distances, Experiments, and Data. Filip Nikolow, Piotr Faliszewski, Stanislaw Szufa |
| 2025 | Mask-Based Diffusion for Music Generation from Everyday Sounds. Ananya Mahishi, Aayush Senapati, Shreya Halgeri, Aayush Nagar, Surabhi Narayan |
| 2025 | Masked Patch Skip-Connection Transformer for Human Motion Prediction. Youhuang Guo, Hong Gao, Yuqi Zhang, Zhijun Li |
| 2025 | Masked Spectrum ViT with Cross-Scale Fusion for Universal Deepfake Detection. Kaiwen Xu, Xiyuan Hu, Chen Chen, Yichao Zhou, Yang Xu |
| 2025 | Measuring Ageism in Large Language Models. Shuo Liu, Jiaoyun Yang, Yulong Li, Hongtu Chen, Ning An |
| 2025 | Measuring Explanation Quality - A Path Forward. Nava Tintarev |
| 2025 | Mechanism Design for Facility Location Problems with Capacity Constraints in Bounded Location Space. Xingchen Sha, Hau Chan, Vincent Chau, Ken C. K. Fong, Minming Li, Wai Lun Lo |
| 2025 | Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory. Prateek Chhikara, Dev Khant, Saket Aryan, Taranjeet Singh, Deshraj Yadav |
| 2025 | MemoCue: Empowering LLM-Based Agents for Human Memory Recall via Strategy-Guided Querying. Qian Zhao, Zhuo Sun, Bin Guo, Zhiwen Yu |
| 2025 | Memory Prompt for Multi-Modal Visual Object Tracking. Xueqi Li, Yongjun Zhang, Jianqiang Xia, Fang Dong, Yuanyuan Wang, Yushe Cao, Junze Zhang, Dianxi Shi |
| 2025 | Merging Cartesian Abstractions for Classical Planning. Mauricio Salerno, Raquel Fuentetaja, David Speck, Jendrik Seipp |
| 2025 | Meta Co-Training: Two Views Are Better than One. Jay C. Rothenberger, Dimitrios I. Diochnos |
| 2025 | Meta-Reasoning Agents Based on Narrative-Driven Inference for Mitigating Privacy Risks in Multimodal Settings. Carmelo Fabio Longo, Misael Mongiovì, Daniele Francesco Santamaria |
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| 2025 | MixGAN: A Hybrid Semi-Supervised and Generative Approach for DDoS Detection in Cloud-Integrated IoT Networks. Tongxi Wu, Chenwei Xu, Jin Yang |
| 2025 | Model Recovery at the Edge Under Resource Constraints for Physical AI. Bin Xu, Ayan Banerjee, Sandeep K. S. Gupta |
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| 2025 | Modeling Energy Consumption in Deep Learning Architectures Using Power Laws. Mansour Zoubeirou a Mayaki, Victor Charpenay |
| 2025 | Modularity and Temporal Proximity Enhanced Nonnegative Tensor Latent Factorization for Accurate Dynamic Community Detection. Hao Fang, Hao Wu |
| 2025 | Multi-Agent Path Finding for Large Agents Is Intractable. Artem Agafonov, Konstantin Yakovlev |
| 2025 | Multi-Agentic Workflows and Long-Term Memory Use Cases in AI-Builder. Swetha Lakshmana Murthy, Sangamithra Panneer Selvam, Martin Welß |
| 2025 | Multi-Attribute Bias Mitigation via Representation Learning. Rajeev Ranjan Dwivedi, Ankur Kumar, Vinod K. Kurmi |
| 2025 | Multi-Branch Clothes-Agnostic Feature Learning for Cloth-Changing Person Re-Identification. Shijuan Huang, Hefei Ling |
| 2025 | Multi-Feature Membership Analysis for Tabular Regression Models: Towards Data Sovereignty. Yitschak Cahana, Ido Hersko, Noa Wegerhoff, Yuval Elovici, Asaf Shabtai |
| 2025 | Multi-Hop Contrastive Learning with Feature Augmentation for Node Classification. Xuxia Zeng, Guangquan Lu, Cuifang Zou, Shilong Lin, Longqing Du, Shichao Zhang |
| 2025 | Multi-Hop Privacy Propagation for Differentially Private Federated Learning in Social Networks. Chenchen Lin, Xuehe Wang |
| 2025 | Multi-Modal Continual Learning via Cross-Modality Adapters and Representation Alignment with Knowledge Preservation. Evelyn Chee, Wynne Hsu, Mong-Li Lee |
| 2025 | Multi-Objective Combinatorial Reconfiguration Considering Cost and Length by Answer Set Programming: Algorithms, Encodings, and Empirical Analysis. Kazuki Takada, Mutsunori Banbara, Takehiro Ito, Jun Kawahara, Shin-ichi Minato, Torsten Schaub, Ryuhei Uehara |
| 2025 | Multi-Perspective Frequency Domain Learning for Generalizable AI-Generated Image Detection. Zili Xu, Jianjie Luo, Fuqiang Yu, Zhenguo Yang |
| 2025 | Multiagent Quality-Diversity for Effective Adaptation. Siddarth Iyer, Ayhan Alp Aydeniz, Gaurav Dixit, Kagan Tumer |
| 2025 | Multimodal Semantic Decoupled Prompt for Zero-Shot Referring Expression Comprehension. Yuxuan Zhang, Longfei Huang, Yang Yang |
| 2025 | Multiple Different Black Box Explanations for Image Classifiers. Hana Chockler, David A. Kelly, Daniel Kroening |
| 2025 | Multivariate Time Series Forecasting with Hybrid Euclidean-SPD Manifold Graph Neural Networks. Yong Fang, Na Li, Hangguan Shan, Eryun Liu, Xinyu Li, Wei Ni, Er-Ping Li |
| 2025 | Mutual Information-Driven Rationale Distillation for Hateful Memes Detection. Chuanpeng Yang, Yaxin Liu, Fuqing Zhu |
| 2025 | N for Parameter: Efficient Multi-Scale Neural Audio Super Resolution with GAN. Mark Magumba, Steven Davy, Owais Bin Zuber |
| 2025 | NBgE: A Multi-Physics-Informed Encoder Leveraging Bond Graphs. Alexis-Raja Brachet, Pierre-Yves Richard, Céline Hudelot |
| 2025 | NITRO-D: Native Integer-Only Training of Deep Convolutional Neural Networks. Alberto Pirillo, Luca Colombo, Manuel Roveri |
| 2025 | NLBP: Efficient Training Spiking Neural Networks with Neuron-Level Back Propagation. Zikai Zhu, Yulong Yan, Longrun Xu, Jinqiao Yang, Lirong Zheng, Zhuo Zou |
| 2025 | Neural Architecture Search with Mixed Bio-Inspired Learning Rules. Imane Hamzaoui, Riyadh Baghdadi |
| 2025 | Neural Proofs for Sound Verification and Control of Complex Systems. Alessandro Abate |
| 2025 | Neural Topic Modeling in Social Media by Clustering Latent Hashtag Representations. Riccardo Cantini, Cristian Cosentino, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio |
| 2025 | Neuro-Symbolic Framework Integrating Incremental Learning with LLM and Symbolic Reasoning on Unknown Objects. Imad Eddine Kenai, Abdelghani Chibani, Ferhat Attal, Ilies Chibane, Yacine Amirat |
| 2025 | Neurosymbolic OCR for Handwritten Tax Forms. Quinten Dewulf, Robin Manhaeve, Wannes Meert, Luc De Raedt |
| 2025 | Nonlinear Concept Erasure: A Density Matching Approach. Antoine Saillenfest, Pirmin Lemberger |
| 2025 | OFTEN-DEEPRL: On-the-Fly Teaching of Ethical Norms to Deep Reinforcement Learning Agents. Ignacio D. Lopez-Miguel, Sebastian P. Adam, Ezio Bartocci, Thomas Eiter, Martin Tappler |
| 2025 | OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning. Jinyuan Feng, Zhiqiang Pu, Tianyi Hu, Dongmin Li, Xiaolin Ai, Huimu Wang |
| 2025 | Object-Level Control for Refined Structure and Appearance in Conditional Image Synthesis. Ni Xu, Wei Li, Zhouchao Fu, Xiaoxu Lin, Wanjun Chen, Jianwei Zheng |
| 2025 | On Approximate MMS Allocations on Restricted Graph Classes. Václav Blazej, Michal Debski, Zbigniew Lonc, Marta Piecyk, Pawel Rzazewski |
| 2025 | On Conformant Planning and Model-Checking of ∃ Raven Beutner, Bernd Finkbeiner |
| 2025 | On Learning Action Costs from Input Plans. Marianela Morales, Alberto Pozanco, Giuseppe Canonaco, Sriram Gopalakrishnan, Daniel Borrajo, Manuela Veloso |
| 2025 | On Performance Guarantees for Symbolic Search in Classical Planning. David Speck, Malte Helmert |
| 2025 | On Perturbed Natural Adaptive Gradient Descent and Its Application in Portfolio Optimization. Yi Cai, Huili Liang, Yue Qiu, Xiao Wang, Tian Xie, Zixuan Zhao |
| 2025 | On Robustness and Reliability of Benchmark-Based Evaluation of LLMs. Riccardo Lunardi, Vincenzo Della Mea, Stefano Mizzaro, Kevin Roitero |
| 2025 | On the Computational Complexity of Partial Satisfaction Planning. Jiajia Song, Seeun William Umboh, Nir Lipovetzky, Sebastian Sardiña |
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| 2025 | On the Number of Queries Required to Determine an Optimal Alternative. Nic Wilson |
| 2025 | On the Parallelizability of Approval-Based Committee Rules. Zack Fitzsimmons, Zohair Raza Hassan, Edith Hemaspaandra |
| 2025 | On the Performance of Concept Probing: The Influence of the Data. Manuel de Sousa Ribeiro, Afonso Leote, João Leite |
| 2025 | On the Sample Efficiency of Abstractions and Potential-Based Reward Shaping in Reinforcement Learning. Giuseppe Canonaco, Leo Ardon, Alberto Pozanco, Daniel Borrajo |
| 2025 | On the Use of Artificial Intelligence for Autonomous Driving and Its Verification. Franz Wotawa |
| 2025 | One Shot vs. Iterative: Rethinking Pruning Strategies for Model Compression. Mikolaj Janusz, Tomasz Wojnar, Yawei Li, Luca Benini, Kamil Adamczewski |
| 2025 | Online Hierarchical Partitioning of the Output Space in Extreme Multi-Label Data Streams. Lara Neves, Afonso Lourenço, Alberto Cano, Goreti Marreiros |
| 2025 | Online Learning of Fair Coalition Structures. Saar Cohen, Noa Agmon |
| 2025 | Online Learning with Probing for Sequential User-Centric Selection. Tianyi Xu, Yiting Chen, Henger Li, Zheyong Bian, Emiliano Dall'Anese, Zizhan Zheng |
| 2025 | Optimal Candidate Positioning in Multi-Issue Elections. Colin Cleveland, Bart de Keijzer, Maria Polukarov |
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| 2025 | Optimizing Asynchronous Federated Learning: A Delicate Trade-Off Between Model-Parameter Staleness and Update Frequency. Abdelkrim Alahyane, Céline Comte, Matthieu Jonckheere, Éric Moulines |
| 2025 | Optimizing Parcels Sorting Through Reinforcement Learning for Intralogistics. Loris Roveda, Marco Maccarini, Filippo Pura, Fabio Reiso, Blerina Spahiu |
| 2025 | Optimizing Semantic Consistency Modeling: Task-Specific Tensor Fusion, Multi-Task Multi-Scale Joint Training, and Uncertainty-Aware Distillation. Zeyu Wei, Shuo Wang, Xuemin Liu, Xiaohui Rong |
| 2025 | Out of Distribution Detection and Adaptive Interpolation for Personalized Federated Learning. Jose Miguel Burés, Roi Martinez, Alfonso Nuñez, Roberto Iglesias, Xosé Ramón Fernández-Vidal, Francisco Javier García |
| 2025 | Overexposed Frame Reconstruction in Ultra-High-Speed Imaging via Event-Guided Diffusion Models. Han Wang, Sijia Liu, Juntao Wu, Xirui Zhang, Zhou Wang, Xiaofeng Yang, Yaoxiong Wang, Saiao Zhou, Pinguo Cao, Yuman Nie |
| 2025 | Owen Sampling Accelerates Contribution Estimation in Federated Learning. Hossein KhademSohi, Hadi Hemmati, Jiayu Zhou, Steve Drew |
| 2025 | P-CAFE: Personalized Cost-Aware Incremental Feature Selection for Electronic Health Records. Naama Kashani, Mira Cohen, Uri Shaham |
| 2025 | PCFNet: Enhancing Time Series Forecasting Through Preserving Constant Frequency. Wenjun Yu, Wen Li, Wentao Gao, Wangyu Wu, Shouguo Du, Jiyanglin Li |
| 2025 | PFL-IDGAN: Personalized Federated Learning Framework Based on Interactive Dual Generative Adversarial Networks. Zhigang Wang, Yan Yang, Xiaochi Hou, Junfeng Zhao |
| 2025 | PMR: Physical Model-Driven Multi-Stage Restoration of Turbulent Dynamic Videos. Tao Wu, Jingyuan Ye, Cheng Zhou, Wenlong Chen, Zheng Liu, Huiming Zheng, Wei Liu, Ying Fu |
| 2025 | POSM: A Personalized Outfit Recommendation System with Style-Guided Multi-Modal Feature Fusion. Hengyu You, Jian Cao, Yang Gu, Qiqi Cai |
| 2025 | POSTMAN: Periodic Spectra Transition via Mamba Network for Time Series Forecasting. Kaixin Zhao, Hang Su, Huiyu Liu, Yijun Mo |
| 2025 | PRACTISED: Pattern-Based Representation Alignment for Cross-Domain Time Series Anomaly Detection. Anyi Zhang, Peng Xu |
| 2025 | PROM: Prioritize Reduction of Multiplications Over Lower Bit-Widths for Efficient CNNs. Lukas Meiner, Jens Mehnert, Alexandru Paul Condurache |
| 2025 | Paeformer: Patch-Wise Representation Learning with Autoencoder for Multivariate Time Series Forecasting. Kun Liu, Zhongjie Duan, Cen Chen |
| 2025 | Pano3R: Training Free Panoramic 3D Reconstruction. Shiming Song, Yongjun Zhang, Yuanze Wang, Mengzhu Wang, Yuetian Wang, Zhuojing Tian, Jinming Song, Dianxi Shi |
| 2025 | Parameter Selection for DBSCAN: Insights from Persistent Homology. Anna Beer, Ekaterina Kuznetsova, Claudia Plant |
| 2025 | Pareto-NRPA: A Novel Monte-Carlo Search Algorithm for Multi-Objective Optimization. Noé Lallouet, Tristan Cazenave, Cyrille Enderli |
| 2025 | Participatory Budgeting with Donations: The Case of Selective Voters. Philip Lazos, Evangelos Markakis, Georgios Papasotiropoulos |
| 2025 | Partition Equilibria in Weighted Singleton Congestion Games. Wei-Chen Lee, Alessandro Abate, Michael J. Wooldridge |
| 2025 | Partitioned Combinatorial Optimization Games. Jiehua Chen, Christian Hatschka, Sofia Simola |
| 2025 | PedDet: Adaptive Spectral Optimization for Multimodal Pedestrian Detection. Rui Zhao, Zeyu Zhang, Yi Xu, Yi Yao, Yan Huang, Wenxin Zhang, Zirui Song, Xiuying Chen, Yang Zhao |
| 2025 | Performance-Efficiency Trade-off for Fashion Image Retrieval. Julio Hurtado, Haoran Ni, Duygu Sap, Connor Mattinson, Martin Lotz |
| 2025 | Personalized Subgraph Federated Learning with Sheaf Collaboration. Wenfei Liang, Yanan Zhao, Rui She, Yiming Li, Wee Peng Tay |
| 2025 | Pessimistic Iterative Planning with RNNs for Robust POMDPs. Maris F. L. Galesloot, Marnix Suilen, Thiago D. Simão, Steven Carr, Matthijs T. J. Spaan, Ufuk Topcu, Nils Jansen |
| 2025 | Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases. Christian Di Maio, Cristian Cosci, Marco Maggini, Valentina Poggioni, Stefano Melacci |
| 2025 | Planner-Refiner: Dynamic Space-Time Refinement for Vision-Language Alignment in Videos. Tuyen Tran, Thao Minh Le, Quang-Hung Le, Truyen Tran |
| 2025 | Plausible Conditional Generation-Based Counterfactual Explanations for Multivariate Times Series Classification. Paul Sevellec, Elisa Fromont, Romaric Gaudel, Laurence Rozé, Matteo Sammarco |
| 2025 | PoT-PTQ: Two-Step Power-of-Two Post-Training for LLMs. Xinyu Wang, Vahid Partovi Nia, Peng Lu, Jerry Huang, Xiao-Wen Chang, Boxing Chen, Yufei Cui |
| 2025 | PoemTale Diffusion: Minimising Information Loss in Poem to Image Generation with Multi-Stage Prompt Refinement. Sofia Jamil, Bollampalli Areen Reddy, Raghvendra Kumar, Sriparna Saha, Koustava Goswami |
| 2025 | Policy Safety Testing in Non-Deterministic Planning: Fuzzing, Test Oracles, Fault Analysis. Chaahat Jain, Daniel Sherbakov, Marcel Vinzent, Marcel Steinmetz, Jesse Davis, Jörg Hoffmann |
| 2025 | Polynomial-Time Algorithms for Fair Orientations of Chores. Kevin Hsu, Valerie King |
| 2025 | Population Synthesis with Motivational Attributes: A Path Towards Cultural Variation in Agent-Based Models. Alba Aguilera, Miquel Albertí, Nardine Osman, Georgina Curto |
| 2025 | Population-Based Multi-Objective Reinforcement Learning with Information Sharing and Differentiation. Xiaoqiang Wu, Qingling Zhu, Junkai Ji, Qiuzhen Lin, Wei-Neng Chen, Jianqiang Li |
| 2025 | Portfolio Beam Search: Diverse Transformer Decoding for Offline Reinforcement Learning Using Financial Algorithmic Approaches. Dan Elbaz, Oren Salzman |
| 2025 | Possibilistic Reasoning on Finite-Time Linear Temporal Logic. Virginia Carugno, Rafael Peñaloza |
| 2025 | Post-Hoc Interpretation of POMDP Policies. Geoffrey Laforest, Olivier Buffet, Alexandre Niveau, Bruno Zanuttini |
| 2025 | Power, Policy, and Parity: A Machine Learning Framework for Gender Representation in Global Public Institutions. Vaisnavi Nemala |
| 2025 | PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification. Magdalena Tredowicz, Marcin Mazur, Szymon Janusz, Arkadiusz Lewicki, Jacek Tabor, Lukasz Struski |
| 2025 | Predicting Hospital Length of Stay Using Parameter Efficient Liquid Time-Constant Network. Sudeshna Jana, Tirthankar Dasgupta, Manjira Sinha |
| 2025 | Predicting Memorization Within Large Language Models Fine-Tuned for Classification. Jérémie Dentan, Davide Buscaldi, Aymen Shabou, Sonia Vanier |
| 2025 | Predicting Protein Functions with Ensemble Deep Learning and Protein Language Models. Giacomo Frisoni, Marcello Fuschi, Gianluca Moro |
| 2025 | Predicting Solar Wind Density from Sun Images by Means of a GNN-LSTM Based Encoder-Decoder Deep Network. Emanuele Iacobelli, Rafal Grycuk, Giorgio De Magistris, Rafal Scherer, Christian Napoli |
| 2025 | Prediction Is Not Explanation: Revisiting the Explanatory Capacity of Mapping Embeddings. Hanna Herasimchyk, Alhassan Abdelhalim, Sören Laue, Michaela Regneri |
| 2025 | Probabilistic Belief Update When Inputs Are Uncertain: The Inverse Problem Perspective. Karim Tabia |
| 2025 | Probability Density from Latent Diffusion Models for Out-of-Distribution Detection. Joonas Järve, Karl Kaspar Haavel, Meelis Kull |
| 2025 | Promoting Intersectional Fairness Through Knowledge Distillation. Md. Fahim Sikder, Resmi Ramachandranpillai, Daniel de Leng, Fredrik Heintz |
| 2025 | Properties of Egalitarian Sequences of Committees: Theory and Experiments. Paula Böhm, Robert Bredereck, Till Fluschnik |
| 2025 | PuriLight: A Lightweight Shuffle and Purification Framework for Monocular Depth Estimation. Yujie Chen, Li Zhang, Xiaomeng Chu, Tian Zhang |
| 2025 | Q-HEART: ECG Question Answering via Knowledge-Informed Multimodal LLMs. Hung Manh Pham, Jialu Tang, Aaqib Saeed, Dong Ma |
| 2025 | Quadratic Binary Optimization with Graph Neural Networks. Moshe Eliasof, Eldad Haber |
| 2025 | Quantize Once, Train Fast: Allreduce-Compatible Compression with Provable Guarantees. Jihao Xin, Marco Canini, Peter Richtárik, Samuel Horváth |
| 2025 | RANA: Robust Active Learning for Noisy Network Alignment. Yixuan Nan, Xixun Lin, Yanmin Shang, Zhuofan Li, Can Zhao, Yanan Cao |
| 2025 | RDFS Knowledge Graphs Through the Lens of Logic: Semantics and Query Answering. Roberto Maria Delfino, Maurizio Lenzerini, Antonella Poggi |
| 2025 | REACTS: Reasoning-Based, Explainable and Adaptive Contextual Tool for Smart Energy Management. Brigida Teixeira, Gabriel Santos, Letícia Gomes, David Araújo, Tiago Pinto, Zita Vale |
| 2025 | RESPONSE: Benchmarking the Ability of Language Models to Undertake Commonsense Reasoning in Crisis Situation. Aïssatou Diallo, Antonis Bikakis, Luke Dickens, Anthony Hunter, Rob Miller |
| 2025 | RLSF: Fine-tuning LLMs via Symbolic Feedback. Piyush Jha, Prithwish Jana, Pranavkrishna Suresh, Arnav Arora, Vijay Ganesh |
| 2025 | RTF: Reputation-Based Team Formation Approach for Enhancing Dependable Critical Fully Autonomous Multi-UAV BVLOS Operations. Kivanç Serefoglu, Önder Gürcan, Reyhan Aydogan |
| 2025 | RaMen: Multi-Strategy Multi-Modal Learning for Bundle Construction. Huy-Son Nguyen, Quang-Huy Nguyen, Duc-Hoang Pham, Duc-Trong Le, Hoang-Quynh Le, Padipat Sitkrongwong, Atsuhiro Takasu, Masoud Mansoury |
| 2025 | ReAligner: Knowledge Editing via Semantic Refinement and Representation Diversification. Minghu Wang, Shuliang Zhao, Yuqing Li, Mengjun Yang, Mei He |
| 2025 | ReLKD: Inter-Class Relation Learning with Knowledge Distillation for Generalized Category Discovery. Fang Zhou, Zhiqiang Chen, Martin Pavlovski, Yizhong Zhang |
| 2025 | Reasoning Optimization of Multi-Agent Systems via Abstract Domain Semantics. Lin Ao, Han Liu, Huafeng Zhang |
| 2025 | Reasoning with Epistemic Rights and Duties: Automating a Dynamic Logic of the Right to Know in LogiKEy. Lara Lawniczak, Luca Pasetto, Christoph Benzmüller, Xu Li, Réka Markovich |
| 2025 | Refining Dataset Distillation via Critical Region Selection and Multiview Teacher Guidance. Wenqing Ye, Xinyu Li, Hui Liu, Di Wu, Xiaoyan Sun, Ronald X. Xu, Mingzhai Sun |
| 2025 | Reframing Multimodal Complex Document Layout Understanding: A Layout-Aware Multi-Source Reasoning Decision Framework. Ran Chen, Yuyang Zhou, Jingyang Deng, Zeren Zhang, Xuefei Tong, Jinwen Ma, Qinghui Shi, Qian Xu, Yuanjun Li |
| 2025 | Region-Aware Compositional Context Prompting for Zero-Shot Anomaly Detection. Wen Dong, Guanglei Chu, Zhe Pan, Guo-Sen Xie, Caifeng Shan, Fang Zhao |
| 2025 | Reinforced and Integrated Prompt Optimization Strategy for Emotion Recognition in Conversation. Yukun Cao, Luobin Huang, Zhihao Guo, Lisheng Wang |
| 2025 | Reinforcement Learning-Driven Model Compression: Structured Layer-Wise Parameter Pruning. Ashmit Gupta, Anany Dhamija, Manik Gupta, Parul Kukrety, Shashi Shekhar Jha, Sudeepta Mishra |
| 2025 | Relative Drawing Identification Complexity Is Invariant to Modality in Vision-Language Models. Diogo Freitas, Brigt Håvardstun, Darío Garigliotti, Jan Arne Telle, Cèsar Ferri, José Hernández-Orallo |
| 2025 | Reliable Intention Selection in BDI Agents with Recovery Shields. Angelo Ferrando, Rafael C. Cardoso |
| 2025 | Repairing Planning Domains Based on Lifted Test Plans. Nader Karimi Bavandpour, Pascal Lauer, Songtuan Lin, Pascal Bercher |
| 2025 | Replay to Remember (R2R): An Efficient Uncertainty-Driven Unsupervised Continual Learning Framework Using Generative Replay. Sriram Mandalika, Harsha Vardhan, Athira Nambiar |
| 2025 | Representing Positional Information in Generative World Models for Object Manipulation. Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Sai Rajeswar |
| 2025 | Rethinking the Effect of LoRA in Foundation Models for Long-Tailed Recognition. Haowei Liu, Shijia Sun, Liang Chen |
| 2025 | Robust Coordination Under Misaligned Communication via Power Regularization. Nancirose Piazza, Amirhossein Karimi, Behnia Soleymani, Vahid Behzadan, Stefan Sarkadi |
| 2025 | Robust Inverse Reinforcement Learning Under State Adversarial Perturbations. Mine Melodi Caliskan, Saeed Ghoorchian, Setareh Maghsudi |
| 2025 | Robustness Feature Adapter for Efficient Adversarial Training. Quanwei Wu, Jun Guo, Wei Wang, Yi Wang |
| 2025 | Router Upcycling: Leveraging Mixture-of-Routers in Mixture-of-Experts Upcycling. Junfeng Ran, Guangxiang Zhao, Yuhan Wu, Dawei Zhu, Longyun Wu, Yikai Zhao, Tong Yang, Lin Sun, Xiangzheng Zhang, Sujian Li |
| 2025 | Runtime Verification with Rational Multi-Monitors. Davide Catta, Angelo Ferrando, Vadim Malvone |
| 2025 | SA4D-HDR: Segment Anything with Neural Radiance Fields for 4D HDR Scenes. Jie Li, Yuke Zhang, Long Wang, Ruiyun Yu |
| 2025 | SARSum: A Relevance and Comprehensiveness-Aware Abstractive Summarization Dataset for Suspicious Activity Reports. Jean V. Alves, Javier Liébana, Hugo M. Ferreira, Pedro Bizarro |
| 2025 | SDQ-LLM: Sigma-Delta Quantization for 1-Bit LLMs of Any Size. Junhao Xia, Ming Zhao, Limin Xiao, Xiujun Zhang |
| 2025 | SEWLT: Semantic Enhancement for Weak Semantics Low-Resource Languages Translation. Chunming Wu, Yueran Wang, Shanxiong Chen, Xiaoliang Li, Ruiyuan Li |
| 2025 | SHAC++: A Neural Network to Rule All Differentiable Simulators. Francesco Bertolotti, Gianluca Aguzzi, Walter Cazzola, Mirko Viroli |
| 2025 | SOLVE-Med: Specialized Orchestration for Leading Vertical Experts Across Medical Specialties. Roberta Di Marino, Giovanni Dioguardi, Antonio Romano, Giuseppe Riccio, Mariano Barone, Marco Postiglione, Flora Amato, Vincenzo Moscato |
| 2025 | SPARK: Semantic Planning with Augmented Retrieval and Knowledge - An LLM-Based Orienteering System. Alessandro Pio, Fabio Persia, Giovanni Pilato, Daniela D'Auria, Mouzhi Ge |
| 2025 | SPIN-ODE: Stiff Physics-Informed Neural ODE for Chemical Reaction Rate Estimation. Wenqing Peng, Zhi-Song Liu, Michael Boy |
| 2025 | SPOFormer: Enhancing Prior Learning for Multi-View 3D Occupancy Perception via Semantic-Aware Attention. Ruihang Li, Huangnan Zheng, Zhe Yin, Kaikai Xiao, Hong Li, Zhijie Pan |
| 2025 | STaR: Multi-Granular Spatio-Temporal Reasoning for Long-Form Dense Video Captioning. Yihao Wu, Chenhuan Cai, Liqi Yan, Huapeng Li, Jianhui Zhang, Jiahao Liu, Qifan Wang, Fangli Guan, Pan Li |
| 2025 | Safe APG: Accelerated Policy Gradient Algorithm for Secure Policy Updating in Reinforcement Learning. Jianan Lin, Yao Chen, Zhengyang Ji, Meng Yuan, Bo Hou, Shaolin Tan |
| 2025 | Safe Planning and Policy Optimization via World Model Learning. Artem Latyshev, Gregory Gorbov, Aleksandr I. Panov |
| 2025 | Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding. Daniel Bethell, Simos Gerasimou, Radu Calinescu, Calum Imrie |
| 2025 | ScSAM: Debiasing Morphology and Distributional Variability in Subcellular Semantic Segmentation. Bo Fang, Jianan Fan, Dongnan Liu, Hang Chang, Gerald J. Shami, Filip Braet, Weidong Cai |
| 2025 | Scalar Likelihood Method for Probabilistic Partial Least Squares Model with Rank n Update. Haoran Hu, Xingce Wang, Zhongke Wu, Shilei Du, Yuhe Zhang, Quansheng Liu |
| 2025 | Scale-Aware Adaptive Feature Quantization for Robust Medical Image Representation Learning. Azad Singh, Deepak Mishra |
| 2025 | Score Before You Speak: Improving Persona Consistency in Dialogue Generation Using Response Quality Scores. Arpita Saggar, Jonathan C. Darling, Vania Dimitrova, Duygu Sarikaya, David C. Hogg |
| 2025 | Scribble-Based Weakly Supervised Camouflaged Object Detection via SAM-Guided Feature Correlation Transformer. Zi-Jie Wu, Rongrong Gao, Tian-Zhu Xiang |
| 2025 | Search Trajectory Network-Enhanced Multi-Objective Dynamic Algorithm Configuration. Robbert Reijnen, Zaharah Bukhsh, Hoong Chuin Lau, Yaoxin Wu, Yingqian Zhang |
| 2025 | Selecting the Right Experts: Generalizing Information Extraction for Unseen Scenarios via Task-Aware Expert Weighting. Lubingzhi Guo, Javier Sanz-Cruzado, Richard McCreadie |
| 2025 | Selection in the Meme Pool: Graph-Based Evolution of Textual Content. Karlo Babic |
| 2025 | Semantic Adapter for Universal Text Embeddings: Diagnosing and Mitigating Negation Blindness to Enhance Universality. Hongliu Cao |
| 2025 | Semi-Supervised Dual-Threshold Contrastive Learning for Ultrasound Image Classification and Segmentation. Peng Zhang, Zhihui Lai, Heng Kong |
| 2025 | Sequencing in the Run-Time Event Calculus. Periklis Mantenoglou, Alexander Artikis |
| 2025 | Significance-Driven Skeleton Map Convolution for Skeleton-Based Action Recognition. Nuo Chen, Liqun Huang, Xiaotao Huang |
| 2025 | Simple Numeric Planning with Two Variables Is Decidable. Hayyan Helal, Gerhard Lakemeyer |
| 2025 | Skill-Enhanced Reinforcement Learning Acceleration from Heterogeneous Demonstrations. Hanping Zhang, Yuhong Guo |
| 2025 | Solving Constrained Stochastic Shortest Path Problems with Scalarisation. Johannes Schmalz, Felipe W. Trevizan |
| 2025 | Solving the Min-Max Multiple Traveling Salesmen Problem via Learning-Based Path Generation and Optimal Splitting. Wen Wang, Xiangchen Wu, Liang Wang, Hao Hu, XianPing Tao, Linghao Zhang |
| 2025 | Source Component Shift Adaptation via Offline Decomposition and Online Mixing Approach. Ryuta Matsuno |
| 2025 | SparseMambaVision: Sparse-Attention Based Mamba-Transformer Framework for Prostate Segmentation. Wangyu Feng, Likun Xia, Yading Yuan, Ming Ma |
| 2025 | Spatial Relation Extraction on Null-Role and Multi-Mention Relation Templates. Yuming Chen, Peifeng Li, Qiaoming Zhu |
| 2025 | SpectraShift3D: Black-Box Physical Attacks on Monocular Depth Estimation via Robust 3D-Aware Textures. Changda Shi, Lili Zhou, Hui Wei |
| 2025 | SplitOcc: Multi-Resolution Sparse Voxel for Efficient LiDAR-Based Semantic Scene Completion. Chaoyi Sun, Xiaze Zhang, Ziheng Ding, Ying Cheng, Zhuoyao Wang, Rui Feng |
| 2025 | Spoiler Susceptibility in Party Elections. Daria Boratyn, Wojciech Slomczynski, Dariusz Stolicki, Stanislaw Szufa |
| 2025 | Stabilizing Data-Free Model Extraction. Dat-Thinh Nguyen, Kim-Hung Le, Nhien-An Le-Khac |
| 2025 | Stealing Knowledge from Auditable Datasets. Hongyu Zhu, Sichu Liang, Wentao Hu, Wenwen Wang, Fangqi Li, Shilin Wang, Zhuosheng Zhang |
| 2025 | Strategic Reasoning with Capacity-Constrained Agents and Imperfect Information. Gabriel Ballot, Vadim Malvone, Jean Leneutre, Jingxuan Ma |
| 2025 | Strategyproof Mechanisms for Facility Location with Prediction Under the Maximum Cost Objective. Hau Chan, Jianan Lin, Chenhao Wang |
| 2025 | SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers. Tom Siegl, Kutalmis Coskun, Bjarne C. Hiller, Amin Mirzaei, Florian Lemmerich, Martin Becker |
| 2025 | Subconscious Robotic Imitation Learning. Jun Xie, Zhicheng Wang, Jianwei Tan, Huanxu Lin, Yang Jiang, Xiaoguang Ma |
| 2025 | Supervised Embedded Methods for Hyperspectral Band Selection. Yaniv Zimmer, Ofir Lindenbaum, Oren Glickman |
| 2025 | Supporting Stability Analysis of Aircraft Flight Control Laws. Luca Bonalumi, Carmelo Raciti, Francesco Amigoni |
| 2025 | SustainFed-LLM: Renewable Energy Aware Client Selection for Energy Efficient Federated Training of Large Language Models. Sunbal Iftikhar, Hassan Khan, Steven Davy |
| 2025 | SyncGuard: Robust Audio Watermarking Capable of Countering Desynchronization Attacks. Zhenliang Gan, Xiaoxiao Hu, Sheng Li, Zhenxing Qian, Xinpeng Zhang |
| 2025 | Synthetic Texture Datasets: Challenges, Creation, and Curation. Blaine Hoak, Patrick D. McDaniel |
| 2025 | TABIA: A Language to Transform, Combine, and Reason over Semi-Structured Tabular Data. Dirko Coetsee, Steve Kroon, McElory Hoffmann, Luc De Raedt |
| 2025 | TACTICAL: A Framework for Building Wikipedia-Derived Timelines of Atomic Changes. Hsuvas Borkakoty, Luis Espinosa Anke |
| 2025 | TADoc: Robust Time-Aware Document Image Dewarping. Fangmin Zhao, Weichao Zeng, Zhenhang Li, Dongbao Yang, Yu Zhou |
| 2025 | TD-RGFL: A Two-Stage Dual-Branch Robust Framework for Addressing Heterogeneous Label Noise in Graph Federated Learning. Rongze Xu, Hai Cao, Xuanpeng Li, Chen Gong, Guangyu Li |
| 2025 | TED-DTMoA: Tri-Comparison Expertise Decision for Drug-Target Mechanism of Action. Lingxiang Jia, Zipeng Zhong, Shaolun Yao, Jie Song, Mingli Song, Zunlei Feng |
| 2025 | TRADES: Generating Realistic Market Simulations with Diffusion Models. Leonardo Berti, Bardh Prenkaj, Paola Velardi |
| 2025 | TRUCE-AV: A Multimodal Dataset for Trust and Comfort Estimation in Autonomous Vehicles. Aditi Bhalla, Christian Hellert, Enkelejda Kasneci, Nastassja Becker |
| 2025 | TabResFlow: A Normalizing Spline Flow Model for Probabilistic Univariate Tabular Regression. Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Jonas Sonntag, Maximilian Stubbemann, Lars Schmidt-Thieme |
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| 2025 | Temporal Adaptive Neural Message Passing for Opinion Dynamics. Lizhen Ou, Yiping Yao, Kai Chen, Wenjie Tang |
| 2025 | Temporal Knowledge Graph Question Answering via Sub-Question Decomposition and Cross-Checking. Jiahui Li, Xiangzhen Meng, Peilin Jiang, Xilang Tang |
| 2025 | Temporal Robustness in Hate Speech Detection: Updating German Classifiers with Advanced AI Infrastructures. Michael Peter Hoffmann, Jan Fillies, Jophin John, Antonis Maronikolakis, Ajay Navilarekal, Sahana Udupa, Nicolay Hammer |
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| 2025 | Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning. Yiming Xu, Xu Hua, Zhen Peng, Bin Shi, Jiarun Chen, Xingbo Fu, Song Wang, Bo Dong |
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| 2025 | Time-Aware Fact Diffusion with Contrastive Learning for Temporal Knowledge Graph Reasoning. Rushan Geng, Cuicui Luo |
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| 2025 | ToFU: Transforming How Federated Learning Systems Forget User Data. Van-Tuan Tran, Hong-Hanh Nguyen-Le, Quoc-Viet Pham |
| 2025 | ToMacVF: Temporal Macro-Action Value Factorization for Asynchronous Multi-Agent Reinforcement Learning. Wenjing Zhang, Wei Zhang |
| 2025 | Token Pruning in Audio Transformers: Optimizing Performance and Decoding Patch Importance. Taehan Lee, Hyukjun Lee |
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| 2025 | Towards Explaining SEM Defect Image Classification. Vahidin Hasic, Corinna Kofler, Senka Krivic |
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| 2025 | Value Lens: Using Large Language Models to Understand Human Values. Eduardo de la Cruz Fernández, Marcelo Karanik, Sascha Ossowski |
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| 2025 | VectorFit: Adaptive Singular & Bias Vector Fine-Tuning of Pre-Trained Foundation Models. Suhas G. Hegde, Shilpy Kaur, Aruna Tiwari |
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