Elamur Research⌕
☰
home / venues / NeurIPS / 2025 / papers / page 22

NeurIPS 2025: all accepted papers

5,819 papers · page 22 of 59 · the most cited first · ← NeurIPS 2025

1 … 20 21 22 23 … 30 … 59

  1. WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception ↗Zhiheng Liu, Xueqing Deng, Shoufa Chen et al.1 citation
  2. Wukong's 72 Transformations: High-fidelity Textured 3D Morphing via Flow Models ↗Minghao Yin, Yukang Cao, Kai Han1 citation
  3. You Only Communicate Once: One-shot Federated Low-Rank Adaptation of MLLM ↗Binqian Xu, Haiyang Mei, Zechen Bai et al.1 citation
  4. ZEBRA: Towards Zero-Shot Cross-Subject Generalization for Universal Brain Visual Decoding ↗Haonan Wang, Jingyu Lu, Hongrui Li et al.1 citation
  5. ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data ↗Patryk Marszałek, Tomasz Kuśmierczyk, Witold Wydmański et al.1 citation
  6. Zebra-Llama: Towards Extremely Efficient Hybrid Models ↗Mingyu Yang, Mehdi Rezagholizadeh, Guihong Li et al.1 citation
  7. Zero-Shot Context Generalization in Reinforcement Learning from Few Training Contexts ↗James Chapman, Kedar Karhadkar, Guido Montúfar1 citation
  8. Zero-shot Denoising via Neural Compression: Theoretical and algorithmic framework ↗Ali Zafari, Xi Chen, Shirin Jalali1 citation
  9. iFinder: Structured Zero-Shot Vision-Based LLM Grounding for Dash-Cam Video Reasoning ↗Manyi Yao, Bingbing Zhuang, Sparsh Garg et al.1 citation
  10. scMRDR: A scalable and flexible framework for unpaired single-cell multi-omics data integration ↗Jianle Sun, Chaoqi Liang, Ran Wei et al.1 citation
  11. zip2zip: Inference-Time Adaptive Tokenization via Online Compression ↗Saibo Geng, Nathan Ranchin, Yunzhen Yao et al.1 citation
  12. Ψ-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models ↗Taehoon Yoon, Yunhong Min, Kyeongmin Yeo et al.1 citation
  13. μPC: Scaling Predictive Coding to 100+ Layer Networks ↗Francesco Innocenti, El Mehdi Achour, Christopher L. Buckley1 citation
  14. 🎧MOSPA: Human Motion Generation Driven by Spatial Audio ↗Shuyang Xu, Zhiyang Dou, Mingyi Shi et al.1 citation
  15. 1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities ↗Kevin Wang, Ishaan Javali, Michał Bortkiewicz et al.
  16. 3BASiL: An Algorithmic Framework for Sparse plus Low-Rank Compression of LLMs ↗Mehdi Makni, Xiang Meng, Rahul Mazumder
  17. 3D Equivariant Visuomotor Policy Learning via Spherical Projection ↗Boce Hu, Dian Wang, David Klee et al.
  18. 3D Gaussian Splatting based Scene-independent Relocalization with Unidirectional and Bidirectional Feature Fusion ↗Junyi Wang, Yuze Wang, Wantong Duan et al.
  19. 3D Human Pose Estimation with Muscles ↗Kevin Zhu, AliAsghar MohammadiNasrabadi, Alexander Wong et al.
  20. 3D Interaction Geometric Pre-training for Molecular Relational Learning ↗Namkyeong Lee, Yunhak Oh, Heewoong Noh et al.
  21. 3D Visual Illusion Depth Estimation ↗Chengtang Yao, Zhidan Liu, Jiaxi Zeng et al.
  22. 3D-Agent: A Tri-Modal Multi-Agent Responsive Framework for Comprehensive 3D Object Annotation ↗jusheng zhang, Yijia Fan, Zimo Wen et al.
  23. 3D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-mask Decoding ↗Chang Wei Wu, Zhiyuan Liu, Wen Shu et al.
  24. 3DID: Direct 3D Inverse Design for Aerodynamics with Physics-Aware Optimization ↗Yuze Hao, Linchao Zhu, Yi Ping Yang
  25. 3DPE-Gaze:Unlocking the Potential of 3D Facial Priors for Generalized Gaze Estimation ↗Yangshi Ge, Yiwei Bao, Feng Lu
  26. A Bayesian Approach to Contextual Dynamic Pricing using the Proportional Hazards Model with Discrete Price Data ↗Dongguen Kim, Young‐Geun Choi, Minwoo Chae
  27. A Bayesian Fast-Slow Framework to Mitigate Interference in Non-Stationary Reinforcement Learning ↗Yihuan Mao, Chongjie Zhang
  28. A Beyond-Worst-Case Analysis of Greedy k-means++ ↗Qingyun Chen, Sungjin Im, Benjamin Moseley et al.
  29. A Black-Box Debiasing Framework for Conditional Sampling ↗Han Cui, Jingbo Liu
  30. A CLT for Polynomial GNNs on Community-Based Graphs ↗Luciano Vinas, Arash Amini
  31. A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference ↗Harsh Parikh, Trang Quynh Nguyen, Elizabeth A. Stuart et al.
  32. A Clean Slate for Offline Reinforcement Learning ↗Matthew Thomas Jackson, Uljad Berdica, Jarek Liesen et al.
  33. A Closed-Form Solution for Fast and Reliable Adaptive Testing ↗Yan Zhuang, Chenye Ke, Zirui Liu et al.
  34. A Closer Look at NTK Alignment: Linking Phase Transitions in Deep Image Regression ↗Giuseppe Castiglione, Christopher L. Buckley, Ivor Simpson
  35. A Closer Look to Positive-Unlabeled Learning from Fine-grained Perspectives: An Empirical Study ↗Yuanchao Dai, Zhengzhang Hou, Changchun Li et al.
  36. A Compressive-Expressive Communication Framework for Compositional Representations ↗Rafael Elberg, Felipe del Rio, Mircea Petrache et al.
  37. A Computationally Viable Numerical Gradient-based Technique for Optimal Covering Problems ↗Gokul Rajaraman, Debasish Chatterjee
  38. A Controllable Examination for Long-Context Language Models ↗Yijun Yang, Zeyu Huang, Wenhao Zhu et al.
  39. A Counterfactual Semantics for Hybrid Dynamical Systems ↗Andy Zane, Dmitry Batenkov, Rafał Urbaniak et al.
  40. A Cramér–von Mises Approach to Incentivizing Truthful Data Sharing ↗Alex Clinton, Thomas Zeng, Yiding Chen et al.
  41. A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors ↗Sebastian Wagner-Carena, Aizhan Akhmetzhanova, Sydney Erickson
  42. A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design ↗Haydn Jones, Natalie Maus, Josh Magnus Ludan et al.
  43. A Difference-of-Convex Functions Approach to Energy-Based Iterative Reasoning ↗Daniel Tschernutter, David Diego Castro, Maciej Kasiński
  44. A Differential and Pointwise Control Approach to Reinforcement Learning ↗Minh Nguyen, Chandrajit Bajaj
  45. A Driving-Style-Adaptive Framework for Vehicle Trajectory Prediction ↗Di Wen, Yu Wang, Zhigang Wu et al.
  46. A Dynamic Learning Strategy for Dempster-Shafer Theory with Applications in Classification and Enhancement ↗Linlin Fan, Xingyu Liu, Mingliang Zhou et al.
  47. A Few Moments Please: Scalable Graphon Learning via Moment Matching ↗Reza Ramezanpour, Víctor M. Tenorio, Antonio Garcia Marques et al.
  48. A Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation ↗Peng Ling Yang, Kaicheng Jin, Liangyu Zhang et al.
  49. A General-Purpose Theorem for High-Probability Bounds of Stochastic Approximation with Polyak Averaging ↗Sajad Khodadadian, Martín Zubeldía
  50. A Generalized Binary Tree Mechanism for Private Approximation of All-Pair Shortest Distances ↗Zongrui Zou, Chenglin Fan, Michael Dinitz et al.
  51. A Generalized Bisimulation Metric of State Similarity between Markov Decision Processes: From Theoretical Propositions to Applications ↗Zhenyu Tao, Wei Xu, Xiaohu You
  52. A Generalized Label Shift Perspective for Cross-Domain Gaze Estimation ↗Hao-Ran Yang, Xiaohui Chen, Chuan-Xian Ren
  53. A Geometric Analysis of PCA ↗Ayoub El Hanchi, Murat A. Erdogdu, Chris J. Maddison
  54. A Geometry-Aware Metric for Mode Collapse in Time Series Generative Models ↗Yassine Abbahaddou, Amine Mohamed Aboussalah
  55. A Gradient Guided Diffusion Framework for Chance Constrained Programming ↗Boyang Zhang, Zhiguo Wang, Ya-Feng Liu
  56. A Hierarchy of Graphical Models for Counterfactual Inferences ↗Hongshuo Yang, Elias Bareinboim
  57. A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning ↗Qingyue Zhang, Haohao Fu, Guanbo Huang et al.
  58. A Latent Multilayer Graphical Model For Complex, Interdependent Systems ↗MARTIN G. ONDRUS, Ivor Cribben, Yang Feng
  59. A Learning-Augmented Approach to Online Allocation Problems ↗Ilan Cohen, Debmalya Panigrahi
  60. A Learning-Augmented Dynamic Programming Approach for Orienteering Problem with Time Windows ↗Guansheng Peng, Lining Xing, Fuyan Ma et al.
  61. A Little Depth Goes a Long Way: The Expressive Power of Log-Depth Transformers ↗William Merrill, Ashish Sabharwal
  62. A Markov Decision Process for Variable Selection in Branch & Bound ↗Paul Strang, Zacharie Alès, Côme Bissuel et al.
  63. A Minimalist Example of Edge-of-Stability and Progressive Sharpening ↗Liming Liu, Zixuan Zhang, Simon S. Du et al.
  64. A Minimalistic Unified Framework for Incremental Learning across Image Restoration Tasks ↗Xiaoxuan Gong, Jie Ma
  65. A Multi-Task Benchmark for Abusive Language Detection in Low-Resource SettingsFitsum Gaim, Hoyun Song, Huije Lee et al.our summary
  66. A Multimodal Benchmark for Framing of Oil & Gas Advertising and Potential Greenwashing Detection ↗Gaku Morio, Harri Rowlands, Dominik Stammbach et al.
  67. A Near-Optimal Algorithm for Decentralized Convex-Concave Finite-Sum Minimax Optimization ↗Hongxu Chen, Ke Wei, Haishan Ye et al.
  68. A Near-optimal, Scalable and Parallelizable Framework for Stochastic Bandits Robust to Adversarial Corruptions and Beyond ↗Zicheng Hu, Cheng Chen
  69. A Novel General Framework for Sharp Lower Bounds in Succinct Stochastic Bandits ↗Guo Zeng, Jean Honorio
  70. A Partition Cover Approach to Tokenization ↗Jia Peng Lim, Shawn Tan, Davin Choo et al.
  71. A Physics-preserved Transfer Learning Method for Differential Equations ↗Hao-Ran Yang, Chuan-Xian Ren
  72. A Plug-and-Play Query Synthesis Active Learning Framework for Neural PDE Solvers ↗Zhiyuan Wang, Jinwoo Go, Byung-Jun Yoon et al.
  73. A Practical Guide for Incorporating Symmetry in Diffusion Policy ↗Dian Wang, Boce Hu, Shuran Song et al.
  74. A Pre-training Framework for Relational Data with Information-theoretic Principles ↗Quang Truong, Zhikai Chen, Mingxuan Ju et al.
  75. A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning ↗Anjie Liu, Jianhong Wang, Samuel Kaski et al.
  76. A Principled Path to Fitted Distributional Evaluation ↗Sungee Hong, Jiayi Wang, Zhengling Qi et al.
  77. A Private Approximation of the 2nd-Moment Matrix of Any Subsamplable Input ↗Bar Mahpud, Or Sheffet
  78. A Provable Approach for End-to-End Safe Reinforcement Learning ↗Akifumi Wachi, Kohei Miyaguchi, Takumi Tanabe et al.
  79. A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees ↗Yuhao Zhou, Jintao Xu, Bingrui Li et al.
  80. A Reinforcement Learning-based Bidding Strategy for Data Consumers in Auction-based Federated Learning ↗Xiaoli Tang, Han Yu, Xiaoxiao Li
  81. A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks ↗Georgios Mentzelopoulos, Ioannis Asmanis, Konrad Paul Kording et al.
  82. A Semantic Parsing Framework for End-to-End Time Normalization ↗Xin Su, S. Yu, Phillip Howard et al.
  83. A Signed Graph Approach to Understanding and Mitigating Oversmoothing ↗Jiaqi Wang, Xinyi Wu, James Sheung-Chak Cheng et al.
  84. A Simple Linear Patch Revives Layer-Pruned Large Language Models ↗Xinrui Chen, Haoli Bai, Tao Yuan et al.
  85. A Single-Loop First-Order Algorithm for Linearly Constrained Bilevel Optimization ↗Wei Shen, Jiawei Zhang, Minhui Huang et al.
  86. A Single-Loop Gradient Algorithm for Pessimistic Bilevel Optimization via Smooth Approximation ↗Qichao Cao, Shangzhi Zeng, Jin Zhang
  87. A Single-Swap Local Search Algorithm for k-Means of Lines ↗Ting Liang, Xiaoliang Wu, Junyu Huang et al.
  88. A Smooth Sea Never Made a Skilled SAILOR: Robust Imitation via Learning to Search ↗Arnav Jain, Vibhakar Mohta, Subin Kim et al.
  89. A Stable Whitening Optimizer for Efficient Neural Network Training ↗Kevin Frans, Sergey Levine, Pieter Abbeel
  90. A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics ↗Licong Lin, Mei Song
  91. A Sustainable AI Economy Needs Data Deals That Work for Generators ↗Ruoxi Jia, Luis Oala, Wenjie Xiong et al.
  92. A Technical Report on “Erasing the Invisible”: The 2024 NeurIPS Competition on Stress Testing Image Watermarks ↗Mucong Ding, Bang An, Tahseen Rabbani et al.
  93. A Temporal Difference Method for Stochastic Continuous Dynamics ↗Haruki Settai, Naoya Takeishi, Takehisa Yairi
  94. A Theoretical Framework for Grokking: Interpolation followed by Riemannian Norm Minimisation ↗Étienne Boursier, Scott Pesme, Radu-Alexandru Dragomir
  95. A Theory for Worst-Case vs. Average-Case Guarantees for LLMs ↗Noga Amit, Shafi Goldwasser, Orr Paradise et al.
  96. A Unified Analysis of Stochastic Gradient Descent with Arbitrary Data Permutations and Beyond ↗Yipeng Li, Xinchen Lyu, Zhenyu Liu
  97. A Unified Approach to Submodular Maximization Under Noise ↗Kshipra Bhawalkar, Yang Cai, Zhe Feng et al.
  98. A Unified Framework for Fair Graph Generation: Theoretical Guarantees and Empirical Advances ↗Zichong Wang, Zhipeng Yin, Wenbin Zhang
  99. A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values ↗Tyler Chen, Akshay Seshadri, Mattia Jacopo Villani et al.
  100. A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random ↗Binh Ho, Long Nguyen-Chi, TrungTin Nguyen et al.

1 … 20 21 22 23 … 30 … 59

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/22/