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NeurIPS 2025: all accepted papers

5,819 papers · page 38 of 59 · the most cited first · ← NeurIPS 2025

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  1. Individual Fairness In Strategic Classification ↗Zhiqun Zuo, Mohammad Mahdi Khalili
  2. Individual Regret in Cooperative Stochastic Multi-Armed Bandits ↗Idan Barnea, Tal Lancewicki, Yishay Mansour
  3. Individually Fair Diversity Maximization ↗Ruien Li, Yanhao Wang
  4. Inductive Domain Transfer In Misspecified Simulation-Based Inference ↗Ortal Yona Senouf, Antoine Wehenkel, Cédric Vincent-Cuaz et al.
  5. IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios ↗Yifan Li, Yuehe Chen, Anh Nhi Dao et al.
  6. Ineq-Comp: Benchmarking Human-Intuitive Compositional Reasoning in Automated Theorem Proving of Inequalities ↗Haoyu Zhao, Yihan Geng, Shange Tang et al.
  7. IneqSearch: Hybrid Reasoning for Olympiad Inequality Proofs ↗Zhaoqun Li, Beishui Liao, Qiwei Ye
  8. Inexact Column Generation for Bayesian Network Structure Learning via Difference-of-Submodular Optimization ↗Yiran Yang, Rui Chen
  9. InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interaction ↗Bin Lei, Weitai Kang, Zijian Zhang et al.
  10. Inference of Whole Brain Electrophysiological Networks Through Multimodal Integration of Simultaneous Scalp and Intracranial EEG ↗Shihao Yang, Feng Liu
  11. Inference with correlated priors using sisters cells ↗Sina Tootoonian, Andreas T. Schaefer
  12. Inference-Time Personalized Alignment with a Few User Preference Queries ↗Victor-Alexandru Pădurean, Parameswaran Kamalaruban, Nachiket Kotalwar et al.
  13. Inferring stochastic dynamics with growth from cross-sectional data ↗Stephen X. Zhang, Suryanarayana Maddu, Xiaojie Qiu et al.
  14. InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models ↗Yanggan Gu, Yuanyi Wang, Zhaoyi Yan et al.
  15. InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion ↗Yuanyi Wang, Zhaoyi Yan, Yiming Zhang et al.
  16. Infinite Neural Operators: Gaussian processes on functions ↗Daniel Augusto de Souza, Yuchen Zhu, Harry Jake Cunningham et al.
  17. Infinite-Width Limit of a Single Attention Layer: Analysis via Tensor Programs ↗Mana Sakai, Ryo Karakida, Masaaki Imaizumi
  18. Influence Functions for Edge Edits in Non-Convex Graph Neural Networks ↗Jaeseung Heo, Kyeongheung Yun, Seokwon Yoon et al.
  19. Information Retrieval Induced Safety Degradation in AI Agents ↗Cheng Yu, Benedikt Stroebl, Diyi Yang et al.
  20. Information Theoretic Learning for Diffusion Models with Warm Start ↗Yirong Shen, Lu GAN, Cong Ling
  21. Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination ↗Ilias Diakonikolas, Chao Gao, Daniel M. Kane et al.
  22. Information-Theoretic Discrete Diffusion ↗Moongyu Jeon, Sangwoo Shin, Dongjae Jeon et al.
  23. Information-Theoretic Reward Decomposition for Generalizable RLHF ↗Liyuan Mao, Haoran Xu, Amy Zhang et al.
  24. Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables ↗Futoshi Futami, Masahiro Fujisawa
  25. Informed Correctors for Discrete Diffusion Models ↗Yixiu Zhao, Jiaxin Shi, Feng Chen et al.
  26. Informed Initialization for Bayesian Optimization and Active Learning ↗Carl Hvarfner, David Eriksson, Eytan Bakshy et al.
  27. Infrequent Exploration in Linear Bandits ↗Harin Lee, Min-hwan Oh
  28. Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination ↗Rakshit Trivedi, Kartik Sharma, David C. Parkes
  29. Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets ↗Ji Xia, Yizi Zhang, Shuqi Wang et al.
  30. Instance-Dependent Regret Bounds for Nonstochastic Linear Partial Monitoring ↗Federico Di Gennaro, Khaled Eldowa, Nicolò Cesa‐Bianchi
  31. Instance-Optimality for Private KL Distribution Estimation ↗Jiayuan Ye, Vitaly Feldman, Kunal Talwar
  32. InstanceAssemble: Layout-Aware Image Generation via Instance Assembling Attention ↗Qiang Xiang, Shuang Sun, Bingrui Li et al.
  33. Instant Video Models: Universal Adapters for Stabilizing Image-Based Networks ↗Matthew Dutson, Nathan Labiosa, Yin Li et al.
  34. InstructFlow: Adaptive Symbolic Constraint-Guided Code Generation for Long-Horizon Planning ↗Haotian Chi, Zeyu Feng, Yueming Lyu et al.
  35. InstructHOI: Context-Aware Instruction for Multi-Modal Reasoning in Human-Object Interaction Detection ↗Jinguo Luo, Weihong Ren, Quanlong Zheng et al.
  36. InstructRestore: Region-Customized Image Restoration with Human Instructions ↗Shuaizheng Liu, Jianqi Ma, Lingchen Sun et al.
  37. Integral Imprecise Probability Metrics ↗Siu Lun Chau, Michele Caprio, Krikamol Muandet
  38. Integration Matters for Learning PDEs with Backward SDEs ↗Sungje Park, Stephen Tu
  39. Intend to Move: A Multimodal Dataset for Intention-Aware Human Motion Understanding ↗Ryo Umagami, Yue Liu, Xuangeng Chu et al.
  40. InterMT: Multi-Turn Interleaved Preference Alignment with Human Feedback ↗Boyuan Chen, Donghai Hong, Jiaming Ji et al.
  41. Interaction-Centric Knowledge Infusion and Transfer for Open Vocabulary Scene Graph Generation ↗Lin Li, Chuhan Zhang, Dong liang Zhang et al.
  42. Interactive Anomaly Detection for Articulated Objects via Motion Anticipation ↗Ankan Bhunia, Changjian Li, Hakan Bilen
  43. Interactive Cross-modal Learning for Text-3D Scene Retrieval ↗Yanglin Feng, Yongxiang Li, Yuan Sun et al.
  44. Interactive and Hybrid Imitation Learning: Provably Beating Behavior Cloning ↗Yichen Li, Chicheng Zhang
  45. Intermediate Domain Alignment and Morphology Analogy for Patent-Product Image Retrieval ↗Haifan Gong, Xuanye Zhang, Ruifei Zhang et al.
  46. Interpretable Next-token Prediction via the Generalized Induction Head ↗Eunji Kim, Sriya Mantena, Weiwei Yang et al.
  47. Interpretable and Parameter Efficient Graph Neural Additive Models with Random Fourier Features ↗Thummaluru Siddartha Reddy, Vempalli Naga Sai Saketh, Mahesh Chandran
  48. Interpreting Arithmetic Reasoning in Large Language Models using Game-Theoretic Interactions ↗蕾蕾 温, Liwei Zheng, Hongda Li et al.
  49. Interpreting Emergent Features in Deep Learning-based Side-channel Analysis ↗Sengim Karayalçın, Marina Krček, Stjepan Picek
  50. Intervene-All-Paths: Unified Mitigation of LVLM Hallucinations across Alignment Formats ↗Jiaye Qian, Ge Zheng, Yuchen Zhu et al.
  51. Intrinsic Benefits of Categorical Distributional Loss: Uncertainty-aware Regularized Exploration in Reinforcement Learning ↗Ke Sun, Yingnan Zhao, Enze Shi et al.
  52. Intrinsic Goals for Autonomous Agents: Model-Based Exploration in Virtual Zebrafish Predicts Ethological Behavior and Whole-Brain Dynamics ↗Reece Keller, Alyn Kirsch, Felix Pei et al.
  53. Introducing FOReCAst: The Future Outcome Reasoning and Confidence Assessment Benchmark ↗Zhangdie Yuan, Zifeng Ding, Andreas Vlachos
  54. InvFusion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems ↗Noam Elata, Hyungjin Chung, Jong Chul Ye et al.
  55. Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems ↗Alan Anis Lahoud, Erik Schaffernicht, Johannes A. Stork
  56. Inverse Q-Learning Done Right: Offline Imitation Learning in Qπ-Realizable MDPs ↗Antoine Moulin, Gergely Neu, Luca Viano
  57. Investigating Hallucinations of Time Series Foundation Models through Signal Subspace Analysis ↗Yufeng Zou, Zijian Wang, Diego Klabjan et al.
  58. Investigating and Mitigating Catastrophic Forgetting in Medical Knowledge Injection through Internal Knowledge Augmentation Learning ↗Yuxuan Zhou, Xien Liu, Xiao Zhang et al.
  59. Irrational Complex Rotations Empower Low-bit Optimizers ↗Zhen Hui Tian, Wayne Xin Zhao, Ji-Rong Wen
  60. Is Limited Participant Diversity Impeding EEG-based Machine Learning? ↗Philipp Bomatter, Henry Gouk
  61. Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models ↗Jipeng Li, Yanning Shen
  62. Is PRM Necessary? Problem-Solving RL Implicitly Induces PRM Capability in LLMs ↗Zhangyin Feng, Qianglong Chen, Ning Lü et al.
  63. Is This Tracker On? A Benchmark Protocol for Dynamic Tracking ↗Ilona Demler, Saumya Chauhan, Georgia Gkioxari
  64. Is Your Diffusion Model Actually Denoising? ↗Daniel Pfrommer, Zehao Dou, Christopher Scarvelis et al.
  65. Is the acquisition worth the cost? Surrogate losses for Consistent Two-stage Classifiers ↗Florence Regol, Joseph Cotnareanu, Theodore Glavas et al.
  66. Isotropic Noise in Stochastic and Quantum Convex Optimization ↗Annie Marsden, Liam O’Carroll, Aaron Sidford et al.
  67. ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model ↗Sagnik Bhattacharya, Abhiram Rao Gorle, Ahsan Bilal et al.
  68. Iterative Foundation Model Fine-Tuning on Multiple Rewards ↗Pouya M. Ghari, Simone Sciabola, Ye Wang
  69. Iterative Missing Data Imputation with Model Form Adaptation and Non-Missing Feature Supervision ↗Hao Wang, zhengnan li, Zhichao Chen et al.
  70. It’s Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation ↗Jikai Jin, Lester Mackey, Vasilis Syrgkanis
  71. JAMUN: Bridging Smoothed Molecular Dynamics and Score-Based Learning for Conformational Ensemble Generation ↗Ameya Daigavane, Bodhi Vani, Darcy Davidson et al.
  72. Jacobian-Based Interpretation of Nonlinear Neural Encoding Model ↗Haoran Yang, cheng yue, Mengfei Zuo et al.
  73. JailBound: Jailbreaking Internal Safety Boundaries of Vision-Language Models ↗Jiaxin Song, Yixu Wang, Jie Li et al.
  74. Janus-Pro-R1: Advancing Collaborative Visual Comprehension and Generation via Reinforcement Learning ↗Kaihang Pan, Yang Wu, Wendong Bu et al.
  75. JanusDNA: A Powerful Bi-directional Hybrid DNA Foundation Model ↗Duan Qihao, Bingding Huang, Zhenqiao Song et al.
  76. Johnson-Lindenstrauss Lemma Beyond Euclidean Geometry ↗Chengyuan Deng, Jie Gao, Kevin Lu et al.
  77. Joint Hierarchical Representation Learning of Samples and Features via Informed Tree-Wasserstein Distance ↗Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne et al.
  78. Joint Modeling of fMRI and EEG Imaging Using Ordinary Differential Equation-Based Hypergraph Neural Networks ↗Yan Zhang, Yang Gao, Min Li
  79. Joint Relational Database Generation via Graph-Conditional Diffusion Models ↗Mohamed Amine Ketata, David Lüdke, Leo Schwinn et al.
  80. Jury-and-Judge Chain-of-Thought for Uncovering Toxic Data in 3D Visual Grounding ↗Kaixiang Huang, Qifeng Zhang, Jin Wang et al.
  81. Just One Layer Norm Guarantees Stable Extrapolation ↗Juliusz Ziomek, George Whittle, Michael A. Osborne
  82. K-DeCore: Facilitating Knowledge Transfer in Continual Structured Knowledge Reasoning via Knowledge Decoupling ↗Yongrui Chen, Yi Huang, Yunchang Liu et al.
  83. KAIROS: Scalable Model-Agnostic Data Valuation ↗Jiongli Zhu, Parjanya Prashant, Alex Cloninger et al.
  84. KINDLE: Knowledge-Guided Distillation for Prior-Free Gene Regulatory Network Inference ↗Rui Peng, Yuchen Lu, Qichen Sun et al.
  85. KLASS: KL-Guided Fast Inference in Masked Diffusion Models ↗Seo Hyun Kim, Sunwoo Hong, Hojung Jung et al.
  86. KOALA++: Efficient Kalman-Based Optimization with Gradient-Covariance Products ↗Zixuan XIa, Aram Davtyan, Paolo Favaro
  87. KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation ↗Jiajun Shi, Jian Jun Yang, Jiaheng Liu et al.
  88. KSP: Kolmogorov-Smirnov metric-based Post-Hoc Calibration for Survival Analysis ↗Jeongho Park, Daheen Kim, Cheoljun Kim et al.
  89. KScope: A Framework for Characterizing the Knowledge Status of Language Models ↗Yuxin Xiao, Shan Chen, Jack Gallifant et al.
  90. KTAE: A Model-Free Algorithm to Key-Tokens Advantage Estimation in Mathematical Reasoning ↗Wei Sun, Wen Yang, Pu Jian et al.
  91. KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction ↗Jang-Hyun Kim, Jinuk Kim, Sangwoo Kwon et al.
  92. KaRF: Weakly-Supervised Kolmogorov-Arnold Networks-based Radiance Fields for Local Color Editing ↗Wudi Chen, Zhiyuan Zha, Shigang Wang et al.
  93. KeeA*: Epistemic Exploratory A* Search via Knowledge Calibration ↗Dengwei Zhao, Shikui Tu, Yanan Sun et al.
  94. Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy ↗Jie Ren, Zhenwei Dai, Xianfeng Tang et al.
  95. Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration ↗Yuyang Hu, Kangfu Mei, Mojtaba Sahraee-Ardakan et al.
  96. Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization ↗Antonio Ribeiro, David Vävinggren, Dave Zachariah et al.
  97. Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning ↗Dechen Zhang, Zhenmei Shi, Zhang Zhang et al.
  98. Kernel conditional tests from learning-theoretic bounds ↗Pierre-François Massiani, Christian Fiedler, Lukas Haverbeck et al.
  99. Kernel von Mises Formula of the Influence Function ↗Yaroslav Mukhin
  100. Kernel-based Equalized Odds: A Quantification of Accuracy-Fairness Trade-off in Fair Representation Learning ↗Yijin Ni, Xiaoming Huo

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