Most Cited NEURIPS "monocular video input" Papers

YOLOv12: Attention-Centric Real-Time Object Detectors

Yunjie Tian, Qixiang Ye, DAVID DOERMANN

One Token Embedding Is Enough to Deadlock Your Large Reasoning Model

Mohan Zhang, Yihua Zhang, Jinghan Jia et al.

Boosting Resilience of Large Language Models through Causality-Driven Robust Optimization

Xiaoling Zhou, Mingjie Zhang, Zhemg Lee et al.

NeuroH-TGL: Neuro-Heterogeneity Guided Temporal Graph Learning Strategy for Brain Disease Diagnosis

Shengrong Li, Qi Zhu, Chunwei Tian et al.

REOrdering Patches Improves Vision Models

Declan Kutscher, David Chan, Yutong Bai et al.

Learning Parameterized Skills from Demonstrations

Vedant Gupta, Haotian Fu, Calvin Luo et al.

Investigating and Mitigating Catastrophic Forgetting in Medical Knowledge Injection through Internal Knowledge Augmentation Learning

Yuxuan Zhou, Xien Liu, Xiao Zhang et al.

Cloud4D: Estimating Cloud Properties at a High Spatial and Temporal Resolution

Jacob Lin, Edward Gryspeerdt, Ronald Clark

Tracking and Understanding Object Transformations

Yihong Sun, Xinyu Yang, Jennifer Sun et al.

A-Mem: Agentic Memory for LLM Agents

Wujiang Xu, Zujie Liang, Kai Mei et al.

Adaptive Cannistraci-Hebb Network Automata Modelling of Complex Networks for Path-based Link Prediction

Jialin Zhao, Alessandro Muscoloni, Umberto Michieli et al.

Meta CLIP 2: A Worldwide Scaling Recipe

Yung-Sung Chuang, Yang Li, Dong Wang et al.

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

Tianhao Li, Tingfa Xu, Ying Wang et al.

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

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

Robustly Learning Monotone Single-Index Models

Puqian Wang, Nikos Zarifis, Ilias Diakonikolas et al.

Distributed mediation analysis with communication efficiency

Shaomin Li

Edit Flows: Variable Length Discrete Flow Matching with Sequence-Level Edit Operations

Marton Havasi, Brian Karrer, Itai Gat et al.

Revitalizing SVD for Global Covariance Pooling: Halley’s Method to Overcome Over-Flattening

Jiawei Gu, Ziyue Qiao, Xinming Li et al.

Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing

Adel Javanmard, Rudrajit Das, Alessandro Epasto et al.

Structured Initialization for Vision Transformers

Jianqiao Zheng, Xueqian Li, Hemanth Saratchandran et al.

SpectraLDS: Provable Distillation for Linear Dynamical Systems

Devan Shah, Shlomo Fortgang, Sofiia Druchyna et al.

FLiP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning

Dongping Liao, Xitong Gao, Cheng-Zhong Xu

On Hierarchies of Fairness Notions in Cake Cutting: From Proportionality to Super Envy-Freeness

Arnav Mehra, Alexandros Psomas

STAR: Spatial-Temporal Tracklet Matching for Multi-Object Tracking

Xuewei Bai, Yongcai Wang, Deying Li et al.

BrainFlow: A Holistic Pathway of Dynamic Neural System on Manifold

Zhixuan Zhou, Tingting Dan, Guorong Wu

Towards General Modality Translation with Contrastive and Predictive Latent Diffusion Bridge

Nimrod Berman, Omkar Joglekar, Eitan Kosman et al.

Learning from Delayed Feedback in Games via Extra Prediction

Yuma Fujimoto, Kenshi Abe, Kaito Ariu

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

Qijun Zhang, Yao Lu, Mengming Li et al.

ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data

Patryk Marszałek, Tomasz Kuśmierczyk, Witold Wydmański et al.

World-aware Planning Narratives Enhance Large Vision-Language Model Planner

Junhao Shi, Zhaoye Fei, Siyin Wang et al.

Automatic Auxiliary Task Selection and Adaptive Weighting Boost Molecular Property Prediction

Zhiqiang Zhong, Davide Mottin

MoESD: Unveil Speculative Decoding's Potential for Accelerating Sparse MoE

Zongle Huang, Lei Zhu, ZongYuan Zhan et al.

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

Finlay Hudson, James Gardner, William Smith

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

Robi Bhattacharjee, Geelon So, Sanjoy Dasgupta

Enhancing Privacy in Multimodal Federated Learning with Information Theory

Tianzhe Xiao, Yichen Li, Yining Qi et al.

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

Wenchao Yang, Weidong Yan, Wenkang Liu et al.

Hybrid-Collaborative Augmentation and Contrastive Sample Adaptive-Differential Awareness for Robust Attributed Graph Clustering

Tianxiang Zhao, Youqing Wang, Jinlu Wang et al.

Computational Efficiency under Covariate Shift in Kernel Ridge Regression

Andrea Della Vecchia, Arnaud Mavakala Watusadisi, Ernesto De Vito et al.

Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback

Wei Shen, Guanlin Liu, Yu Yue et al.

Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated Text

Yize Cheng, Vinu Sankar Sadasivan, Mehrdad Saberi et al.

Think before Recommendation: Autonomous Reasoning-enhanced Recommender

Xiaoyu Kong, Junguang Jiang, Bin Liu et al.

Non-Stationary Structural Causal Bandits

Yeahoon Kwon, Yesong Choe, Soungmin Park et al.

MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark

Junjie Xing, Yeye He, Mengyu Zhou et al.

Conditional Representation Learning for Customized Tasks

Honglin Liu, Chao Sun, Peng Hu et al.

RrED: Black-box Unsupervised Domain Adaptation via Rectifying-reasoning Errors of Diffusion

Yuwu Lu, Chunzhi Liu

Normalizing Flows are Capable Models for Continuous Control

Raj Ghugare, Benjamin Eysenbach

Statistical Guarantees for High-Dimensional Stochastic Gradient Descent

Jiaqi Li, Zhipeng Lou, Johannes Schmidt-Hieber et al.

Quantifying Generalisation in Imitation Learning

Nathan Gavenski, Odinaldo Rodrigues

Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals

Stefan Stojanov, David Wendt, Seungwoo Kim et al.

Continuous Soft Actor-Critic: An Off-Policy Learning Method Robust to Time Discretization

Huimin Han, Shaolin Ji

Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate

Ferdinand Genans, Antoine Godichon-Baggioni, François-Xavier Vialard et al.

STaRFormer: Semi-Supervised Task-Informed Representation Learning via Dynamic Attention-Based Regional Masking for Sequential Data

Maximilian Forstenhäusler, Daniel Külzer, Christos Anagnostopoulos et al.

What Expressivity Theory Misses: Message Passing Complexity for GNNs

Niklas Kemper, Tom Wollschläger, Stephan Günnemann

NerfBaselines: Consistent and Reproducible Evaluation of Novel View Synthesis Methods

Jonas Kulhanek, Torsten Sattler

FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving

Shuang Zeng, Xinyuan Chang, Mengwei Xie et al.

STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC Histopathology

Barathi Subramanian, Rathinaraja Jeyaraj, Mitchell Peterson et al.

3D Gaussian Splatting based Scene-independent Relocalization with Unidirectional and Bidirectional Feature Fusion

Junyi Wang, Yuze Wang, Wantong Duan et al.

Split conformal classification with unsupervised calibration

Santiago Mazuelas

CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection

Zhichao Sun, Huazhang Hu, Yidong Ma et al.

ARIA: Training Language Agents with Intention-driven Reward Aggregation

Ruihan Yang, yikai zhang, Aili Chen et al.

Dual Alignment Framework for Few-shot Learning with Inter-Set and Intra-Set Shifts

Siyang Jiang, Rui Fang, Hsi-Wen Chen et al.

Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning

Lei Wang, Jieming Bian, Letian Zhang et al.

When Can Model-Free Reinforcement Learning be Enough for Thinking?

Josiah Hanna, Nicholas Corrado

Out-of-Distribution Generalized Graph Anomaly Detection with Homophily-aware Environment Mixup

Sibo Tian, Xin Wang, Zeyang Zhang et al.

Measure-Theoretic Anti-Causal Representation Learning

Arman Behnam, Binghui Wang

A Private Approximation of the 2nd-Moment Matrix of Any Subsamplable Input

Bar Mahpud, Or Sheffet

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

Jiawei Sun, Shuai Zhang, Hongkang Li et al.

A Minimalistic Unified Framework for Incremental Learning across Image Restoration Tasks

Xiaoxuan Gong, Jie Ma

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

shengtian yang, Yue Feng, Yingshi Liu et al.

OpenGU: A Comprehensive Benchmark for Graph Unlearning

Bowen Fan, Yuming Ai, Xunkai Li et al.

Beyond Scalar Rewards: An Axiomatic Framework for Lexicographic MDPs

Mehran Shakerinava, Siamak Ravanbakhsh, Adam Oberman

On the $O(\frac{\sqrt{d}}{K^{1/4}})$ Convergence Rate of AdamW Measured by $\ell_1$ Norm

Huan Li, Yiming Dong, Zhouchen Lin

Joint‑Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self‑Supervised Learning

Hugues Van Assel, Mark Ibrahim, Tommaso Biancalani et al.

Optimal Mistake Bounds for Transductive Online Learning

Zachary Chase, Steve Hanneke, Shay Moran et al.

PathVQ: Reforming Computational Pathology Foundation Model for Whole Slide Image Analysis via Vector Quantization

Honglin Li, Zhongyi Shui, Yunlong Zhang et al.

NoBOOM: Chemical Process Datasets for Industrial Anomaly Detection

Dennis Wagner, Fabian Hartung, Justus Arweiler et al.

Test-Time Spectrum-Aware Latent Steering for Zero-Shot Generalization in Vision-Language Models

Konstantinos Dafnis, Dimitris Metaxas

SPOT-Trip: Dual-Preference Driven Out-of-Town Trip Recommendation

Yinghui Liu, Hao Miao, Guojiang Shen et al.

Robust Satisficing Gaussian Process Bandits Under Adversarial Attacks

Artun Saday, Yaşar Cahit Yıldırım, Cem Tekin

Struct2D: A Perception-Guided Framework for Spatial Reasoning in MLLMs

Fangrui Zhu, Hanhui Wang, Yiming Xie et al.

Don’t Trade Off Safety: Diffusion Regularization for Constrained Offline RL

Junyu guo, Zhi Zheng, Donghao Ying et al.

How to Scale Second-Order Optimization

Charlie Chen, Shikai Qiu, Hoang Phan et al.

Causal-R: A Causal-Reasoning Geometry Problem Solver for Optimized Solution Exploration

Wenjun Wu, Lingling Zhang, Bo Zhao et al.

Negative Feedback Really Matters: Signed Dual-Channel Graph Contrastive Learning Framework for Recommendation

Leqi Zheng, Chaokun Wang, Zixin Song et al.

VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning

Qiuchen Wang, Ruixue Ding, Yu Zeng et al.

FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning

Woosung Kim, Jinho Lee, Jongmin Lee et al.

Accelerated Distance-adaptive Methods for Hölder Smooth and Convex Optimization

Yijin Ren, Haifeng Xu, Qi Deng

Complexity Scaling Laws for Neural Models using Combinatorial Optimization

Lowell Weissman, Michael Krumdick, A. Abbott

RayFusion: Ray Fusion Enhanced Collaborative Visual Perception

Shaohong Wang, Lu Bin, Xinyu Xiao et al.

Synergistic Tensor and Pipeline Parallelism

Mengshi Qi, Jiaxuan Peng, Jie Zhang et al.

Non-Singularity of the Gradient Descent Map for Neural Networks with Piecewise Analytic Activations

Alexandru Crăciun, Debarghya Ghoshdastidar

Imbalances in Neurosymbolic Learning: Characterization and Mitigating Strategies

Efthymia Tsamoura, Kaifu Wang, Dan Roth

Variance-Aware Feel-Good Thompson Sampling for Contextual Bandits

Xuheng Li, Quanquan Gu

Place Cells as Multi-Scale Position Embeddings: Random Walk Transition Kernels for Path Planning

Minglu Zhao, Dehong Xu, Deqian Kong et al.

DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches

Yun Xing, Yue Cao, Nhat Chung et al.

Scaling Language-centric Omnimodal Representation Learning

Chenghao Xiao, Hou Pong (Ken) Chan, Hao Zhang et al.

Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks

Xuan Tang, Han Zhang, Yuan Cao et al.

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

UniLumos: Fast and Unified Image and Video Relighting with Physics-Plausible Feedback

Pengwei Liu, Hangjie Yuan, Bo Dong et al.

NaDRO: Leveraging Dual-Reward Strategies for LLMs Training on Noisy Data

Haolong Qian, Xianliang Yang, Ling Zhang et al.

Controlling Thinking Speed in Reasoning Models

Zhengkai Lin, Zhihang Fu, Ze Chen et al.

ForceFM: Enhancing Protein-Ligand Predictions through Force-Guided Flow Matching

HUANLEI GUO, Song LIU, Bingyi Jing

Restage4D: Reanimating Deformable 3D Reconstruction from a Single Video

Jixuan He, Chieh Lin, Lu Qi et al.

Geometric Algorithms for Neural Combinatorial Optimization with Constraints

Nikolaos Karalias, Akbar Rafiey, Yifei Xu et al.

EDBench: Large-Scale Electron Density Data for Molecular Modeling

Hongxin Xiang, Ke Li, Mingquan Liu et al.

C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning

Antonios Valkanas, Soumyasundar Pal, Pavel Rumiantsev et al.

Sequence Modeling with Spectral Mean Flows

Jinwoo Kim, Max Beier, Petar Bevanda et al.

Kuramoto Orientation Diffusion Models

Yue Song, Andy Keller, Sevan Brodjian et al.

Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference

Kyurae Kim, Yian Ma, Trevor Campbell et al.

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

Wenxiang Guo, Changhao Pan, Zhiyuan Zhu et al.

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

Brian Bartoldson, Siddarth Venkatraman, James Diffenderfer et al.

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

Rui Chu, Bingyin Zhao, Hanling Jiang et al.

Enhanced Cyclic Coordinate Descent Methods for Elastic Net Penalized Linear Models

Yixiao Wang, Zishan Shao, Ting Jiang et al.

Where Graph Meets Heterogeneity: Multi-View Collaborative Graph Experts

Zhihao Wu, Jinyu Cai, Yunhe Zhang et al.

Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation

Guoqing Hu, An Zhang, Shuchang Liu et al.

ViewPoint: Panoramic Video Generation with Pretrained Diffusion Models

Zixun Fang, Kai Zhu, Zhiheng Liu et al.

Human-assisted Robotic Policy Refinement via Action Preference Optimization

Wenke Xia, Yichu Yang, Hongtao Wu et al.

You Only Spectralize Once: Taking a Spectral Detour to Accelerate Graph Neural Network

Yi Li, Zhichun Guo, Guanpeng Li et al.

The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis

Hoang Pham, The Anh Ta, Tom Jacobs et al.

Convergence of the Gradient Flow for Shallow ReLU Networks on Weakly Interacting Data

Léo Dana, Loucas Pillaud-Vivien, Francis Bach

Uniform Wrappers: Bridging Concave to Quadratizable Functions in Online Optimization

Mohammad Pedramfar, Christopher Quinn, Vaneet Aggarwal

LLM Meets Diffusion: A Hybrid Framework for Crystal Material Generation

Subhojyoti Khastagir, KISHALAY DAS, Pawan Goyal et al.

3EED: Ground Everything Everywhere in 3D

Rong Li, Yuhao Dong, Tianshuai Hu et al.

Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked Systems

Hao Liang, shuqing shi, Yudi Zhang et al.

Efficient Data Selection at Scale via Influence Distillation

Mahdi Nikdan, Vincent Cohen-Addad, Dan Alistarh et al.

LoRO: Real-Time on-Device Secure Inference for LLMs via TEE-Based Low Rank Obfuscation

Gaojian Xiong, Yu Sun, Jianhua Liu et al.

FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts

Weihao Bo, Yanpeng Sun, Yu Wang et al.

EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions

Xiaorui Wu, Fei Li, Xiaofeng Mao et al.

OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction

Juntong Wang, Xiyuan Wang, Muhan Zhang

Torch-Uncertainty: Deep Learning Uncertainty Quantification

Adrien Lafage, Olivier Laurent, Firas Gabetni et al.

A Temporal Difference Method for Stochastic Continuous Dynamics

Haruki Settai, Naoya Takeishi, Takehisa Yairi

Rethinking Fair Federated Learning from Parameter and Client View

Kaiqi Guan, Wenke Huang, Xianda Guo et al.

Less is More: Local Intrinsic Dimensions of Contextual Language Models

Benjamin Matthias Ruppik, Julius von Rohrscheidt, Carel van Niekerk et al.

Weaver: Shrinking the Generation-Verification Gap by Scaling Compute for Verification

Jon Saad-Falcon, Estefany Kelly Buchanan, Mayee Chen et al.

Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm

Clément Bénard

Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces

Alejandro García-Castellanos, David Wessels, Nicky J. van den Berg et al.

When Models Don’t Collapse: On the Consistency of Iterative MLE

Daniel Barzilai, Ohad Shamir

Near-Optimal Regret-Queue Length Tradeoff in Online Learning for Two-Sided Markets

Zixian Yang, Sushil Varma, Lei Ying

Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process

Tsai Hor Chan, Feng Wu, Yihang Chen et al.

Frequency-Aware Token Reduction for Efficient Vision Transformer

DongJae Lee, Jiwan Hur, Jaehyun Choi et al.

Machine Unlearning under Overparameterization

Jacob Block, Aryan Mokhtari, Sanjay Shakkottai

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

Sang Choe, Hwijeen Ahn, Juhan Bae et al.

Stop the Nonconsensual Use of Nude Images in Research

Princessa Cintaqia, Arshia Arya, Elissa Redmiles et al.

Class conditional conformal prediction for multiple inputs by p-value aggregation

Jean-Baptiste Fermanian, Mohamed Hebiri, Joseph Salmon

TreeGen: A Bayesian Generative Model for Hierarchies

Marcel Kollovieh, Nils Fleischmann, Filippo Guerranti et al.

Gaussian Regression-Driven Tensorized Incomplete Multi-View Clustering with Dual Manifold Regularization

Zhenhao Zhong, Zhibin Gu, Pengpeng Yang et al.

FedRW: Efficient Privacy-Preserving Data Reweighting for Enhancing Federated Learning of Language Models

Pukang Ye, Luo Junwei, Jiachen Shen et al.

Convergence Rates of Constrained Expected Improvement

Haowei Wang, Jingyi Wang, Zhongxiang Dai et al.

A CLT for Polynomial GNNs on Community-Based Graphs

Luciano Vinas, Arash Amini

Videos are Sample-Efficient Supervisions: Behavior Cloning from Videos via Latent Representations

Xin Liu, Haoran Li, Dongbin Zhao

Guiding LLM Decision-Making with Fairness Reward Models

Zara Hall, Melanie Subbiah, Thomas Zollo 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.

Generalized and Invariant Single-Neuron In-Vivo Activity Representation Learning

Wei Wu, Yuxing Lu, Zhengrui Guo et al.

Crucible: Quantifying the Potential of Control Algorithms through LLM Agents

Lianchen Jia, Chaoyang Li, Qian Houde et al.

Transductive Conformal Inference for Full Ranking

Jean-Baptiste Fermanian, Pierre Humbert, Gilles Blanchard

ESCA: Contextualizing Embodied Agents via Scene-Graph Generation

Jiani Huang, Amish Sethi, Matthew Kuo et al.

Assignments for Congestion-Averse Agents: Seeking Competitive and Envy-Free Solutions

Jiehua Chen, Jiong Guo, Yinghui Wen

Chain-of-Model Learning for Language Model

Xiaohua Wang, Kaitao Song, Xu Tan et al.

Mind the Gap: Removing the Discretization Gap in Differentiable Logic Gate Networks

Shakir Yousefi, Andreas Plesner, Till Aczel et al.

FreqExit: Enabling Early-Exit Inference for Visual Autoregressive Models via Frequency-Aware Guidance

Ying Li, Chengfei Lyu, Huan Wang

StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant

Haibo Wang, Bo Feng, Zhengfeng Lai et al.

Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds

Emre Sahinoglu, Youbang Sun, Shahin Shahrampour

Robust LLM Alignment via Distributionally Robust Direct Preference Optimization

Zaiyan Xu, Sushil Vemuri, Kishan Panaganti et al.

Quantifying Task-relevant Similarities in Representations Using Decision Variable Correlations

Yu (Eric) Qian, Wilson Geisler, Xue-Xin Wei

OmniFC: Rethinking Federated Clustering via Lossless and Secure Distance Reconstruction

Jie Yan, Jing Liu, Zhong-Yuan Zhang

Balancing Positive and Negative Classification Error Rates in Positive-Unlabeled Learning

Ximing Li, Yuanchao Dai, Bing Wang et al.

COGNAC: Cooperative Graph-based Networked Agent Challenges for Multi-Agent Reinforcement Learning

Jules Sintes, Ana Busic

TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation

Yehjin Shin, Jeongwhan Choi, Seojin Kim et al.

Towards Multiscale Graph-based Protein Learning with Geometric Secondary Structural Motifs

Shih-Hsin Wang, Yuhao Huang, Taos Transue et al.

ComfyMind: Toward General-Purpose Generation via Tree-Based Planning and Reactive Feedback

Litao Guo, Xinli Xu, Luozhou Wang et al.

Understanding and Enhancing Message Passing on Heterophilic Graphs via Compatibility Matrix

Zhuonan Zheng, Yuanchen Bei, Zhiyao Zhou et al.

Diversity-oriented Deep Multi-modal Clustering

Wang Yanzheng, Xin Yang, Yujun Wang et al.

Combinatorial Ski Rental Problem: Robust and Learning-Augmented Algorithms

Ziwei Li, Bo Sun, Zhiqiu Zhang et al.

MVSMamba: Multi-View Stereo with State Space Model

Jianfei Jiang, Qiankun Liu, Hongyuan Liu et al.

Alchemist: Turning Public Text-to-Image Data into Generative Gold

Valerii Startsev, Alexander Ustyuzhanin, Alexey Kirillov et al.

Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-design

Nianzu Yang, Songlin Jiang, Jian Ma et al.

IMPACT: Irregular Multi-Patch Adversarial Composition Based on Two‑Phase Optimization

Zenghui Yang, Xingquan Zuo, Hai Huang et al.

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

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

Robust Minimax Boosting with Performance Guarantees

Santiago Mazuelas, Veronica Alvarez

IntrinsiX: High-Quality PBR Generation using Image Priors

Peter Kocsis, Lukas Höllein, Matthias Niessner

Spatiotemporal Consensus with Scene Prior for Unsupervised Domain Adaptive Person Search

Yimin Jiang, Huibing Wang, Jinjia peng

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

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

Recursive Inference Scaling: A Winning Path to Scalable Inference in Language and Multimodal Systems

Ibrahim Alabdulmohsin, Xiaohua Zhai

The Lighthouse of Language: Enhancing LLM Agents via Critique-Guided Improvement

Ruihan Yang, Fanghua Ye, Jian Li et al.

Axial Neural Networks for Dimension-Free Foundation Models

Hyunsu Kim, Jonggeon Park, Joan Bruna et al.

Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models

Byeonghu Na, Minsang Park, Gyuwon Sim et al.

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

Yinsicheng Jiang, Yao Fu, Yeqi Huang 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.

BlockDecoder: Boosting ASR Decoders with Context and Merger Modules

Darshan Prabhu, Preethi Jyothi

Restoring Pruned Large Language Models via Lost Component Compensation

Zijian Feng, Hanzhang Zhou, Zixiao Zhu et al.

Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning

Ziqi Gu, Chunyan Xu, Wenxuan Fang et al.

All that structure matches does not glitter

Maya Martirossyan, Thomas Egg, Philipp Höllmer et al.

ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection

Zhihao Sun, Haoran Jiang, Haoran Chen et al.

Physics-informed Reduced Order Modeling of Time-dependent PDEs via Differentiable Solvers

Nima Hosseini Dashtbayaz, Hesam Salehipour, Adrian Butscher et al.

SHGR: A Generalized Maximal Correlation Coefficient

Samuel Stocksieker, Denys Pommeret

Surface-Aware Feed-Forward Quadratic Gaussian for Frame Interpolation with Large Motion

Zaoming Yan, Yaomin Huang, Pengcheng Lei et al.

CoCoA: A Minimum Bayes Risk Framework Bridging Confidence and Consistency for Uncertainty Quantification in LLMs

Roman Vashurin, Maiya Goloburda, Albina Ilina et al.

Deep Value Benchmark: Measuring Whether Models Generalize Deep values or Shallow Preferences

Joshua Ashkinaze, Hua Shen, Saipranav Avula et al.

Exponential Convergence Guarantees for Iterative Markovian Fitting

Marta Gentiloni Silveri, Giovanni Conforti, Alain Durmus

Dynamic Diameter in High-Dimensions against Adaptive Adversary and Beyond

Kiarash Banihashem, Jeff Giliberti, Samira Goudarzi et al.