Most Cited 2025 "nonnegative matrices" Papers

DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation

Yue-Jiang Dong, Wang Zhao, Jiale Xu et al.

InfiniDreamer: Arbitrarily Long Human Motion Generation via Segment Score Distillation

Wenjie Zhuo, Fan Ma, Hehe Fan

Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing

Yongxin Guo, Lin Wang, Xiaoying Tang et al.

Instance-Level Video Depth in Groups Beyond Occlusions

Yuan Liang, Yang Zhou, Ziming Sun et al.

Future-Aware Interaction Network For Motion Forecasting

Shijie Li, Chunyu Liu, Xun Xu et al.

DreamCube: RGB-D Panorama Generation via Multi-plane Synchronization

Yukun Huang, Yanning Zhou, Jianan Wang et al.

Optical Model-Driven Sharpness Mapping for Autofocus in Small Depth-of-Field and Severe Defocus Scenarios

Chen-Liang Fan, Mingpei Cao, Chih-Chien Hung et al.

HyPiDecoder: Hybrid Pixel Decoder for Efficient Segmentation and Detection

Fengzhe Zhou, Humphrey Shi

MMAD: Multi-label Micro-Action Detection in Videos

Kun Li, pengyu Liu, Dan Guo et al.

Omni-scene Perception-oriented Point Cloud Geometry Enhancement for Coordinate Quantization

Wang Liu, Wei Gao

Auto-Regressive Transformation for Image Alignment

Kanggeon Lee, Soochahn Lee, Kyoung Mu Lee

Training-Free Industrial Defect Generation with Diffusion Models

Ruyi Xu, Yen-Tzu Chiu, Tai-I Chen et al.

TRCE: Towards Reliable Malicious Concept Erasure in Text-to-Image Diffusion Models

Ruidong Chen, honglin guo, Lanjun Wang et al.

Explainably Safe Reinforcement Learning

Sabine Rieder, Stefan Pranger, Debraj Chakraborty et al.

CaMiT: A Time-Aware Car Model Dataset for Classification and Generation

Frédéric Lin, Biruk Abere Ambaw, Adrian Popescu et al.

SYMPHONY: Synergistic Multi-agent Planning with Heterogeneous Language Model Assembly

Wei Zhu, Zhiwen Tang, Kun Yue

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery

Shayan Shekarforoush, David Lindell, Marcus Brubaker et al.

Connectome-Based Modelling Reveals Orientation Maps in the Drosophila Optic Lobe

Jia Nuo Liew, Shenghan Lin, Bowen Chen et al.

Online Multi-Class Selection with Group Fairness Guarantee

Faraz Zargari, Hossein Jazi, Lyndon Hallett et al.

Majority of the Bests: Improving Best-of-N via Bootstrapping

Amin Rakhsha, Kanika Madan, Tianyu Zhang et al.

Orthogonal Contrastive Learning for Multi-Representation fMRI Analysis

Tony Yousefnezhad

No Object Is an Island: Enhancing 3D Semantic Segmentation Generalization with Diffusion Models

Fan Li, Xuan Wang, Xuanbin Wang et al.

PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts

Yiming Wang, Pei Zhang, Jialong Tang et al.

ChemX: A Collection of Chemistry Datasets for Benchmarking Automated Information Extraction

Anastasia Vepreva, Julia Razlivina, Mariia Eremeyeva et al.

OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning

Ling Fu, Zhebin Kuang, Jiajun Song et al.

A Learning-Augmented Approach to Online Allocation Problems

Ilan Cohen, Debmalya Panigrahi

Memory-Augmented Potential Field Theory: A Framework for Adaptive Control in Non-Convex Domains

Dongzhe Zheng, Wenjie Mei

Dr. RAW: Towards General High-Level Vision from RAW with Efficient Task Conditioning

Wenjun Huang, Ziteng Cui, Yinqiang Zheng et al.

Cognitive Predictive Processing: A Human-inspired Framework for Adaptive Exploration in Open-World Reinforcement Learning

boheng liu, Ziyu Li, Chenghua Duan et al.

Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm

Yang Chen, Menglin Zou, Jiaqi Zhang et al.

RankSEG-RMA: An Efficient Segmentation Algorithm via Reciprocal Moment Approximation

Zixun Wang, Ben Dai

Adaptive Sigmoid Clipping for Balancing the Direction–Magnitude Mismatch Trade-off in Differentially Private Learning

Faeze Moradi Kalarde, Ali Bereyhi, Ben Liang et al.

MoniTor: Exploiting Large Language Models with Instruction for Online Video Anomaly Detection

shengtian yang, Yue Feng, Yingshi Liu et al.

THD-BAR: Topology Hierarchical Derived Brain Autoregressive Modeling for EEG Generic Representations

Wenchao Yang, Weidong Yan, Wenkang Liu et al.

F-Adapter: Frequency-Adaptive Parameter-Efficient Fine-Tuning in Scientific Machine Learning

Hangwei Zhang, Chun Kang, Yan Wang et al.

Unsupervised Federated Graph Learning

Lele Fu, Tianchi Liao, Sheng Huang et al.

A Closer Look at Graph Transformers: Cross-Aggregation and Beyond

Jiaming Zhuo, Ziyi Ma, Yintong Lu et al.

HypoBootstrap: A Bootstrapping Framework for Inductive Reasoning

Si Chen, Yifei Li, Richong Zhang

Storyboard-guided Alignment for Fine-grained Video Action Recognition

Enqi Liu, Liyuan Pan, Yan Yang et al.

Local Curvature Descent: Squeezing More Curvature out of Standard and Polyak Gradient Descent

Peter Richtarik, Simone Maria Giancola, Dymitr Lubczyk et al.

DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving

Hao LU, Tianshuo Xu, Wenzhao Zheng et al.

Shapley-Based Data Valuation for Weighted $k$-Nearest Neighbors

Guangyi Zhang, Qiyu Liu, Aristides Gionis

One-Step is Enough: Sparse Autoencoders for Text-to-Image Diffusion Models

Viacheslav Surkov, Chris Wendler, Antonio Mari et al.

Diffusion-Guided Graph Data Augmentation

Maria Marrium, Arif Mahmood, Muhammad Haris Khan et al.

Constant Bit-size Transformers Are Turing Complete

Qian Li, Yuyi Wang

Navigating the MIL Trade-Off: Flexible Pooling for Whole Slide Image Classification

Hossein Jafarinia, Danial Hamdi, Amirhossein Alamdar et al.

Enhancing Privacy in Multimodal Federated Learning with Information Theory

Tianzhe Xiao, Yichen Li, Yining Qi et al.

Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization

Milad Sefidgaran, Kimia Nadjahi, Abdellatif Zaidi

S-Crescendo: A Nested Transformer Weaving Framework for Scalable Nonlinear System in S-Domain Representation

Junlang Huang, Chen Hao, Li Luo et al.

On the VC dimension of deep group convolutional neural networks

Anna Sepliarskaia, Sophie Langer, Johannes Schmidt-Hieber

Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators

Albert Matveev, Sanmitra Ghosh, Aamal Hussain et al.

SEMPO: Lightweight Foundation Models for Time Series Forecasting

Hui He, Kun Yi, Yuanchi Ma et al.

Efficient Knowledge Transfer in Federated Recommendation for Joint Venture Ecosystem

Yichen Li, Yijing Shan, YI LIU et al.

AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant Adversarial Patches

Wenjun Ji, Yuxiang Fu, Luyang Ying et al.

Improving the Straight-Through Estimator with Zeroth-Order Information

Ningfeng Yang, Tor Aamodt

Enhancing GUI Agent with Uncertainty-Aware Self-Trained Evaluator

Gongwei Chen, Lirong Jie, Lexiao Zou et al.

Diversity Is All You Need for Contrastive Learning: Spectral Bounds on Gradient Magnitudes

Peter Ochieng

GLNCD: Graph-Level Novel Category Discovery

Bowen Deng, Lele Fu, Sheng Huang et al.

Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty Reduction

Jin Hu, Jiakai Wang, linna Jing et al.

Addressing Mark Imbalance in Integration-free Marked Temporal Point Processes

Sishun Liu, KE DENG, Yongli Ren et al.

Dynamic Diffusion Schrödinger Bridge in Astrophysical Observational Inversions

Ye Zhu, Duo Xu, Zhiwei Deng et al.

Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation

Jianyang Qin, Chaoyang Li, Jinhao Cui et al.

Revealing Multimodal Causality with Large Language Models

Jin Li, Shoujin Wang, Qi Zhang et al.

Leveraging robust optimization for llm alignment under distribution shifts

Mingye Zhu, Yi Liu, Zheren Fu et al.

$\epsilon$-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data

Sheida Rahnamai Kordasiabi, Damian Nogare, Florian Jug

Second-order Optimization under Heavy-Tailed Noise: Hessian Clipping and Sample Complexity Limits

Abdurakhmon Sadiev, Peter Richtarik, Ilyas Fatkhullin

UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection

Yang Zhao, Kai Xiong, Xiao Ding et al.

SPARTAN: A Sparse Transformer World Model Attending to What Matters

Anson Lei, Bernhard Schölkopf, Ingmar Posner

Mixtures of Subspaces for Bandwidth Efficient Context Parallel Training

Sameera Ramasinghe, Thalaiyasingam Ajanthan, Hadi Mohaghegh Dolatabadi et al.

Rectifying Soft-Label Entangled Bias in Long-Tailed Dataset Distillation

Chenyang Jiang, Hang Zhao, Xinyu Zhang et al.

Sample-Efficient Tabular Self-Play for Offline Robust Reinforcement Learning

Na Li, Zewu Zheng, Wei Ni et al.

World Models as Reference Trajectories for Rapid Motor Adaptation

Carlos Stein Brito, Daniel McNamee

SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score

Mohammad Jalali, Haoyu Lei, Amin Gohari et al.

Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs

Gerardo Flores, Alyssa H. Smith, Julia Fukuyama et al.

Ranking-based Preference Optimization for Diffusion Models from Implicit User Feedback

Yi-Lun Wu, Bo-Kai Ruan, Chiang Tseng et al.

Residual Stream Analysis of Overfitting And Structural Disruptions

Quan Liu, Han Zhou, Wenquan Wu et al.

CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations

Guangyi Chen, Yunlong Deng, Peiyuan Zhu et al.

ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection

Zhihao Sun, Haoran Jiang, Haoran Chen et al.

Heterogeneous Graph Transformers for Simultaneous Mobile Multi-Robot Task Allocation and Scheduling under Temporal Constraints

Batuhan Altundas, Shengkang Chen, Shivika Singh et al.

Stop the Nonconsensual Use of Nude Images in Research

Princessa Cintaqia, Arshia Arya, Elissa Redmiles et al.

BAM-ICL: Causal Hijacking In-Context Learning with Budgeted Adversarial Manipulation

Rui Chu, Bingyin Zhao, Hanling Jiang et al.

Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training

Brian Bartoldson, Siddarth Venkatraman, James Diffenderfer et al.

FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning

Woosung Kim, Jinho Lee, Jongmin Lee et al.

A Minimalistic Unified Framework for Incremental Learning across Image Restoration Tasks

Xiaoxuan Gong, Jie Ma

Consistency of the $k_n$-nearest neighbor rule under adaptive sampling

Robi Bhattacharjee, Geelon So, Sanjoy Dasgupta

On Learning Verifiers and Implications to Chain-of-Thought Reasoning

Maria-Florina Balcan, Avrim Blum, Zhiyuan Li et al.

Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning

Tianxing Wu, Shutong Zhu, Jingting Wang et al.

Towards Generalizable Detector for Generated Image

Qianshu Cai, Chao Wu, Yonggang Zhang et al.

Optimal Single-Policy Sample Complexity and Transient Coverage for Average-Reward Offline RL

Matthew Zurek, Guy Zamir, Yudong Chen

Learning to Zoom with Anatomical Relations for Medical Structure Detection

Bin Pu, Liwen Wang, Xingbo Dong et al.

Private Hyperparameter Tuning with Ex-Post Guarantee

Badih Ghazi, Pritish Kamath, Alexander Knop et al.

Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives

Qixin Zhang, Yan Sun, Can Jin et al.

Error Forcing in Recurrent Neural Networks

A Sağtekin, Colin Bredenberg, Cristina Savin

Proper Hölder-Kullback Dirichlet Diffusion: A Framework for High Dimensional Generative Modeling

Wanpeng Zhang, Yuhao Fang, Xihang Qiu et al.

LD-RoViS: Training-free Robust Video Steganography for Deterministic Latent Diffusion Model

Xiangkun Wang, Kejiang Chen, Lincong Li et al.

A Statistical Framework of Watermarks for Large Language Models: Pivot, Detection Efficiency and Optimal Rules

Xiang Li, Feng Ruan, Huiyuan Wang et al.

Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems

Michal Derezinski, Daniel LeJeune, Deanna Needell et al.

Stochastic-Constrained Stochastic Optimization with Markovian Data

Yeongjong Kim, Dabeen Lee

Position: Towards Bidirectional Human-AI Alignment

Hua Shen, Tiffany Knearem, Reshmi Ghosh et al.

DataSIR: A Benchmark Dataset for Sensitive Information Recognition

Fan Mo, Bo Liu, Yuan Fan et al.

Intend to Move: A Multimodal Dataset for Intention-Aware Human Motion Understanding

Ryo Umagami, Liu Yue, Xuangeng Chu et al.

DAVE: Diagnostic benchmark for Audio Visual Evaluation

Gorjan Radevski, Teodora Popordanoska, Matthew Blaschko et al.

OVERT: A Benchmark for Over-Refusal Evaluation on Text-to-Image Models

Ziheng Cheng, Yixiao Huang, Hui Xu et al.

MM-OPERA: Benchmarking Open-ended Association Reasoning for Large Vision-Language Models

Zimeng Huang, Jinxin Ke, Xiaoxuan Fan et al.

MolVision: Molecular Property Prediction with Vision Language Models

Deepan Adak, Yogesh Rawat, Shruti Vyas

CheMixHub: Datasets and Benchmarks for Chemical Mixture Property Prediction

Ella Miray Rajaonson, Mahyar Rajabi Kochi, Luis Martin Mejia Mendoza et al.

Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence

Yining Hong, Rui Sun, Bingxuan Li et al.

SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models

Xianda Guo, Ruijun Zhang, Yiqun Duan et al.

TreeFinder: A US-Scale Benchmark Dataset for Individual Tree Mortality Monitoring Using High-Resolution Aerial Imagery

Zhihao Wang, Cooper Li, Ruichen Wang et al.

Dense Backpropagation Improves Training for Sparse Mixture-of-Experts

Ashwinee Panda, Vatsal Baherwani, Zain Sarwar et al.

Collaborating Vision, Depth, and Thermal Signals for Multi-Modal Tracking: Dataset and Algorithm

Xue-Feng Zhu, Tianyang Xu, Yifan Pan et al.

REFED: A Subject Real-time Dynamic Labeled EEG-fNIRS Synchronized Recorded Emotion Dataset

Xiaojun Ning, Jing Wang, Zhiyang Feng et al.

PF∆: A Benchmark Dataset for Power Flow under Load, Generation, and Topology Variations

Ana Rivera Him, Anvita Bhagavathula, Alvaro Carbonero et al.

GSO: Challenging Software Optimization Tasks for Evaluating SWE-Agents

Manish Shetty, Naman Jain, Jinjian Liu et al.

STSBench: A Large-Scale Dataset for Modeling Neuronal Activity in the Dorsal Stream of Primate Visual Cortex

Ethan Trepka, Ruobing Xia, Shude Zhu et al.

SeasonBench-EA: A Multi-Source Benchmark for Seasonal Prediction and Numerical Model Post-Processing in East Asia

Mengxuan Chen, Li, Zou Ziheng et al.

PUO-Bench: A Panel Understanding and Operation Benchmark with A Privacy-Preserving Framework

Wei LIN, Yiwei Zhou, Junkai Zhang et al.

A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks

Georgios Mentzelopoulos, Ioannis Asmanis, Konrad Kording et al.

Augmenting Biological Fitness Prediction Benchmarks with Landscapes Features from GraphFLA

Mingyu Huang, Shasha Zhou, Ke Li

egoEMOTION: Egocentric Vision and Physiological Signals for Emotion and Personality Recognition in Real-world Tasks

Matthias Jammot, Björn Braun, Paul Streli et al.

From Objects to Anywhere: A Holistic Benchmark for Multi-level Visual Grounding in 3D Scenes

Tianxu Wang, Zhuofan Zhang, Ziyu Zhu et al.

VMDT: Decoding the Trustworthiness of Video Foundation Models

Yujin Potter, Zhun Wang, Nicholas Crispino et al.

Towards Automated Petrography

Isai Daniel Chacon, Paola Ruiz Puentes, Jillian Pearse et al.

QCircuitBench: A Large-Scale Dataset for Benchmarking Quantum Algorithm Design

Rui Yang, Ziruo Wang, Yuntian Gu et al.

Multimodal Bandits: Regret Lower Bounds and Optimal Algorithms

William Réveillard, Richard Combes

MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models

Hang Hua, Ziyun Zeng, Yizhi Song et al.

Benchmarking Egocentric Multimodal Goal Inference for Assistive Wearable Agents

Vijay Veerabadran, Fanyi Xiao, Nitin Kamra et al.

Long-term Intracortical Neural activity and Kinematics (LINK): An intracortical neural dataset for chronic brain-machine interfaces, neuroscience, and machine learning

Hisham Temmar, Yixuan Wang, Nina Gill et al.

IR-OptSet: An Optimization-Sensitive Dataset for Advancing LLM-Based IR Optimizer

Zi Yang, Lei Qiu, FANG LYU et al.

CGBench: Benchmarking Language Model Scientific Reasoning for Clinical Genetics Research

Owen Queen, Harrison Zhang, James Zou

Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition

Andy Zou, Maxwell Lin, Eliot Jones et al.

HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks

Hongjin Qian, Zheng Liu, Chao Gao et al.

Toward Real-world Text Image Forgery Localization: Structured and Interpretable Data Synthesis

Zeqin Yu, Haotao Xie, Jian Zhang et al.

EngiBench: A Framework for Data-Driven Engineering Design Research

Florian Felten, Gabriel Apaza, Gerhard Bräunlich et al.

DermaCon-IN: A Multiconcept-Annotated Dermatological Image Dataset of Indian Skin Disorders for Clinical AI Research

Shanawaj Sahebpatel Madarkar, Mahajabeen Madarkar, Madhumitha Venkatesh et al.

Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications

Agam Shah, Siddhant Sukhani, Huzaifa Pardawala et al.

What’s in Common? Multimodal Models Hallucinate When Reasoning Across Scenes

Candace Ross, Florian Bordes, Adina Williams et al.

QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?

Belinda Li, Been Kim, Zi Wang

AGI-Elo: How Far Are We From Mastering A Task?

Shuo Sun, Yimin Zhao, Christina Lee et al.

LCDB 1.1: A Database Illustrating Learning Curves Are More Ill-Behaved Than Previously Thought

Cheng Yan, Felix Mohr, Tom Viering

All that structure matches does not glitter

Maya Martirossyan, Thomas Egg, Philipp Höllmer et al.

MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems

Yinsicheng Jiang, Yao Fu, Yeqi Huang et al.

Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models

Haohan Chi, Huan-ang Gao, Ziming Liu et al.

Chain-of-Model Learning for Language Model

Xiaohua Wang, Kaitao Song, Xu Tan et al.

ClinBench: A Standardized Multi-Domain Framework for Evaluating Large Language Models in Clinical Information Extraction

Ismael Villanueva Miranda, Zifan Gu, Donghan Yang et al.

What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Sang Choe, Hwijeen Ahn, Juhan Bae et al.

A Temporal Difference Method for Stochastic Continuous Dynamics

Haruki Settai, Naoya Takeishi, Takehisa Yairi

Torch-Uncertainty: Deep Learning Uncertainty Quantification

Adrien Lafage, Olivier Laurent, Firas Gabetni et al.

3EED: Ground Everything Everywhere in 3D

Rong Li, Yuhao Dong, Tianshuai Hu et al.

MRSAudio: A Large-Scale Multimodal Recorded Spatial Audio Dataset with Refined Annotations

Wenxiang Guo, Changhao Pan, Zhiyuan Zhu et al.

T1: A Tool-Oriented Conversational Dataset for Multi-Turn Agentic Planning

Imbalances in Neurosymbolic Learning: Characterization and Mitigating Strategies

Efthymia Tsamoura, Kaifu Wang, Dan Roth

Contrastive Learning with Data Misalignment: Feature Purity, Training Dynamics and Theoretical Generalization Guarantees

Jiawei Sun, Shuai Zhang, Hongkang Li et al.

TAPVid-360: Tracking Any Point in 360 from Narrow Field of View Video

Finlay Hudson, James Gardner, William Smith

ArchPower: Dataset for Architecture-Level Power Modeling of Modern CPU Design

Qijun Zhang, Yao Lu, Mengming Li et al.

FLiP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning

Dongping Liao, Xitong Gao, Cheng-Zhong Xu

MMOT: The First Challenging Benchmark for Drone-based Multispectral Multi-Object Tracking

Tianhao Li, Tingfa Xu, Ying Wang et al.

ReinAD: Towards Real-world Industrial Anomaly Detection with a Comprehensive Contrastive Dataset

Xu Wang, Jingyuan Zhuo, Zhiyuan You et al.

DeceptionBench: A Comprehensive Benchmark for AI Deception Behaviors in Real-world Scenarios

Yao Huang, Yitong Sun, Yichi Zhang et al.

MathArena: Evaluating LLMs on Uncontaminated Math Competitions

Mislav Balunovic, Jasper Dekoninck, Ivo Petrov et al.

Spik-NeRF: Spiking Neural Networks for Neural Radiance Fields

Gang Wan, Qinlong Lan, Zihan Li et al.

Uncover Governing Law of Pathology Propagation Mechanism Through A Mean-Field Game

Tingting Dan, Zhihao Fan, Guorong Wu

SmallKV: Small Model Assisted Compensation of KV Cache Compression for Efficient LLM Inference

Yi Zhao, Yajuan Peng, Nguyen Cam-Tu et al.

Towards Identifiability of Hierarchical Temporal Causal Representation Learning

Zijian Li, Minghao Fu, Junxian Huang et al.

RidgeLoRA: Matrix Ridge Enhanced Low-Rank Adaptation of Large Language Models

Junda Zhu, Jun Ai, Yujun Li et al.

Sample-Efficient Multi-Round Generative Data Augmentation for Long-Tail Instance Segmentation

Byunghyun Kim, Minyoung Bae, Jae-Gil Lee

CF-VLM：CounterFactual Vision-Language Fine-tuning

jusheng zhang, Kaitong Cai, Yijia Fan et al.

Gaze-VLM: Bridging Gaze and VLMs through Attention Regularization for Egocentric Understanding

Anupam Pani, Yanchao Yang

Towards a Geometric Understanding of Tensor Learning via the t-Product

Andong Wang, Yuning Qiu, Haonan Huang et al.

DISCO: DISCrete nOise for Conditional Control in Text-to-Image Diffusion Models

Longquan Dai, Wu Ming, Dejiao Xue et al.

CVGL: Causal Learning and Geometric Topology

Songsong Ouyang, Yingying Zhu

PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding

Kangcong Li, Peng Ye, Chongjun Tu et al.

GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents

Yuqi Zhou, Sunhao Dai, Shuai Wang et al.

No-Regret Thompson Sampling for Finite-Horizon Markov Decision Processes with Gaussian Processes

Jasmine Bayrooti, Sattar Vakili, Amanda Prorok et al.

Streaming Audio Generation from Discrete Tokens via Streaming Flow Matching

Ha-Yeong Choi, Sang-Hoon Lee

CARES: Comprehensive Evaluation of Safety and Adversarial Robustness in Medical LLMs

Sijia Chen, Xiaomin Li, mengxue zhang et al.

Flow Field Reconstruction with Sensor Placement Policy Learning

Ruoyan Li, Guancheng Wan, Zijie Huang et al.

Generalizable, real-time neural decoding with hybrid state-space models

Avery Hee-Woon Ryoo, Nanda H Krishna, Ximeng Mao et al.

Mitigating Forgetting in LLM Fine-Tuning via Low-Perplexity Token Learning

Chao-Chung Wu, Zhi Rui Tam, Chieh-Yen Lin et al.

Learning Multi-Source and Robust Representations for Continual Learning

Fei Ye, Yongcheng Zhong, Qihe Liu et al.

Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information Foraging

Hongjin Qian, Zheng Liu

ForceVLA: Enhancing VLA Models with a Force-aware MoE for Contact-rich Manipulation

Jiawen Yu, Hairuo Liu, Qiaojun Yu et al.

Spectral Estimation with Free Decompression

Siavash Ameli, Chris van der Heide, Liam Hodgkinson et al.

Asymptotically Stable Quaternion-valued Hopfield-structured Neural Network with Periodic Projection-based Supervised Learning Rules

Tianwei Wang, Xinhui Ma, Wei Pang

Path-specific effects for pulse-oximetry guided decisions in critical care

Kevin Zhang, Yonghan Jung, Divyat Mahajan et al.

DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Qiying Yu, Zheng Zhang, Ruofei Zhu et al.

CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text Encoder

Yongmin Lee, Hye Won Chung

Denoising Trajectory Biases for Zero-Shot AI-Generated Image Detection

Yachao Liang, Min Yu, Gang Li et al.

Bridging Scales: Spectral Theory Reveals How Local Connectivity Rules Sculpt Global Neural Dynamics in Spatially Extended Networks

Yuhan Huang, Keren Gao, Dongping Yang et al.

AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding

Ahmed Masry, Juan Rodriguez, Tianyu Zhang et al.

Adversarial Robustness of Nonparametric Regression

Parsa Moradi, Hanzaleh Nodehi, Mohammad Maddah-Ali

pLSTM: parallelizable Linear Source Transition Mark networks

Korbinian Pöppel, Richard Freinschlag, Thomas Schmied et al.

RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget

Adam Piaseczny, Md Kamran Chowdhury Shisher, Shiqiang Wang et al.

Lorentz Local Canonicalization: How to make any Network Lorentz-Equivariant

Jonas Spinner, Luigi Favaro, Peter Lippmann et al.

ENMA: Tokenwise Autoregression for Continuous Neural PDE Operators

Armand Kassaï Koupaï, Lise Le Boudec, Louis Serrano et al.

A Physics-preserved Transfer Learning Method for Differential Equations

Hao-Ran Yang, Chuan-Xian Ren

A TRIANGLE Enables Multimodal Alignment Beyond Cosine Similarity

Giordano Cicchetti, Eleonora Grassucci, Danilo Comminiello

Decoding Causal Structure: End-to-End Mediation Pathways Inference

Yulong Li, Xiwei Liu, feilong tang et al.

Token-Level Self-Play with Importance-Aware Guidance for Large Language Models

Tue Le, Hoang Tran, Quyen Tran et al.

Privately Learning from Graphs with Applications in Fine-tuning Large Language Models

Haoteng Yin, Rongzhe Wei, Eli Chien et al.