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NeurIPS 2025: all accepted papers

5,819 papers · page 35 of 59 · the most cited first · ← NeurIPS 2025

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  1. From Softmax to Score: Transformers Can Effectively Implement In-Context Denoising Steps ↗Paul Rosu, Lawrence Carin, Xiang Cheng
  2. From Style to Facts: Mapping the Boundaries of Knowledge Injection with Finetuning ↗Eric Zhao, Pranjal Awasthi, Nika Haghtalab
  3. From stability of Langevin diffusion to convergence of proximal MCMC for non-log-concave sampling ↗Marien Renaud, Valentin De Bortoli, Arthur Leclaire et al.
  4. Fréchet Geodesic Boosting ↗Yidong Zhou, Su I Iao, Hans-Georg Müller
  5. Fully Autonomous Neuromorphic Navigation and Dynamic Obstacle Avoidance ↗Xiaochen Shang, Pengwei Luo, Xinning Wang et al.
  6. Fully Dynamic Algorithms for Chamfer Distance ↗Gramoz Goranci, Shaofeng Jiang, Peter Kiss et al.
  7. Fully Spiking Neural Networks for Unified Frame-Event Object Tracking ↗Jingjun Yang, Liangwei Fan, Jinpu Zhang et al.
  8. FuncGenFoil: Airfoil Generation and Editing Model in Function Space ↗Jinouwen Zhang, Junjie Ren, Ma Qianhong et al.
  9. Functional Complexity-adaptive Temporal Tensor Decomposition ↗Panqi Chen, Lei Cheng, Jianlong Li et al.
  10. Functional Matching of Logic Subgraphs: Beyond Structural Isomorphism ↗Ziyang Zheng, Kezhi Li, Zhengyuan Shi et al.
  11. Functional Scaling Laws in Kernel Regression: Loss Dynamics and Learning Rate Schedules ↗Binghui Li, Fengling Chen, Zixun Huang et al.
  12. Functional Virtual Adversarial Training for Semi-Supervised Time Series Classification ↗Qingyi Pan, Yicheng Li
  13. Functional data analysis for multivariate distributions through Wasserstein slicing ↗Han Chen, Hans-Georg Müller
  14. Fundamental Limitations in Pointwise Defences of LLM Finetuning APIs ↗Xander Davies, Eric Winsor, Alexandra Souly et al.
  15. Fuse2Match: Training-Free Fusion of Flow, Diffusion, and Contrastive Models for Zero-Shot Semantic Matching ↗Jing Zuo, Jiaqi Wang, Yonggang Qi et al.
  16. Fused View-Time Attention and Feedforward Reconstruction for 4D Scene Generation ↗Chaoyang Wang, Ashkan Mirzaei, Vidit Goel et al.
  17. Future Link Prediction Without Memory or Aggregation ↗Yi Lu, Runlin Lei, Fengran Mo et al.
  18. Fuz-RL: A Fuzzy-Guided Robust Framework for Safe Reinforcement Learning under Uncertainty ↗Xu Wan, Chao Yang, Cheng Yang et al.
  19. G-Net: A Provably Easy Construction of High-Accuracy Random Binary Neural Networks ↗Alireza Aghasi, Nicholas F. Marshall, Saeid Pourmand et al.
  20. GAM-Agent: Game-Theoretic and Uncertainty-Aware Collaboration for Complex Visual Reasoning ↗jusheng zhang, Yutong Fan, Wenjun Lin et al.
  21. GAMMA: Gated Multi-hop Message Passing for Homophily-Agnostic Node Representation in GNNs ↗Amir Ghazizadeh, Rickard Ewetz, Hao Zheng
  22. GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New Insights ↗Shengbo Gong, Juntong Ni, Noveen Sachdeva et al.
  23. GD²: Robust Graph Learning under Label Noise via Dual-View Prediction Discrepancy ↗Kailai Li, Jiong Lou, Jiawei Sun et al.
  24. GIST: Greedy Independent Set Thresholding for Max-Min Diversification with Submodular Utility ↗Matthew Fahrbach, Srikumar Ramalingam, Morteza Zadimoghaddam et al.
  25. GLID²E: A Gradient-Free Lightweight Fine-tune Approach for Discrete Biological Sequence Design ↗Hanqun Cao, Haosen Shi, Chenyu Wang et al.
  26. GLNCD: Graph-Level Novel Category Discovery ↗Bowen Deng, Lele Fu, Sheng Han Huang et al.
  27. GLVD: Guided Learned Vertex Descent ↗Pol Caselles, Francesc Moreno-Noguer
  28. GMM-based VAE model with Normalising Flow for effective stochastic segmentation ↗Conghui Li, Chern Hong Lim, Xin Wang
  29. GMV: A Unified and Efficient Graph Multi-View Learning Framework ↗Qipeng Zhu, Jie Chen, Jian Pu et al.
  30. GOATex: Geometry & Occlusion-Aware Texturing ↗Hyunjin Kim, Kunho Kim, Adam Lee et al.
  31. GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling ↗Tianhao Chen, Xin Xu, Liu Zijing et al.
  32. GPO: Learning from Critical Steps to Improve LLM Reasoning ↗Jiahao Yu, Zelei Cheng, Xian Wei Wu et al.
  33. GPSToken: Gaussian Parameterized Spatially-adaptive Tokenization for Image Representation and Generation ↗Zhengqiang Zhang, Rongyuan Wu, Lingchen Sun et al.
  34. GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining ↗Simin Fan, Maria Ios Glarou, Martin Jaggi
  35. GRIP: A Graph-Based Reasoning Instruction Producer ↗Jiankang Wang, Jianjun Xu, Xiaorui Wang et al.
  36. GSPN-2: Efficient Parallel Sequence Modeling ↗Hongjun Wang, yitong jiang, Collin McCarthy et al.
  37. GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding ↗Miruna Oprescu, David Park, Xihaier Luo et al.
  38. GTR-Loc: Geospatial Text Regularization Assisted Outdoor LiDAR Localization ↗Shangshu Yu, Wen Li, Xiaotian Sun et al.
  39. GUARD: Constructing Realistic Two-Player Matrix and Security Games for Benchmarking Game-Theoretic Algorithms ↗Noah Krever, Jakub Černý, Moïse Blanchard et al.
  40. GUI Exploration Lab: Enhancing Screen Navigation in Agents via Multi-Turn Reinforcement Learning ↗Haolong Yan, Yeqing Shen, Xin Huang et al.
  41. Gate to the Vessel: Residual Experts Restore What SAM Overlooks ↗Weili Jiang, Jinrong Lv, Xun Gong et al.
  42. Gatekeeper: Improving Model Cascades Through Confidence Tuning ↗Stephan Rabanser, Nathalie Rauschmayr, Achin Kulshrestha et al.
  43. GauDP: Reinventing Multi-Agent Collaboration through Gaussian-Image Synergy in Diffusion Policies ↗Ziye Wang, Kang Li, Yiran Qin et al.
  44. GauSAM: Contour‑Guided 2D Gaussian Fields for Multi‑Scale Medical Image Segmentation with Segment Anything ↗Jinxuan Wu, Jiange Wang, Dongdong Zhang
  45. Gaussian Process Upper Confidence Bound Achieves Nearly-Optimal Regret in Noise-Free Gaussian Process Bandits ↗Shogo Iwazaki
  46. Gaussian Processes for Shuffled Regression ↗Masahiro Kohjima
  47. Gaussian Regression-Driven Tensorized Incomplete Multi-View Clustering with Dual Manifold Regularization ↗Zhenhao Zhong, Zhibin Gu, Pengpeng Yang et al.
  48. GeGS-PCR: Fast and Robust Color 3D Point Cloud Registration with Two-Stage Geometric-3DGS Fusion ↗Jiayi Tian, Haiduo Huang, Tian Xia et al.
  49. GeRaF: Neural Geometry Reconstruction from Radio Frequency Signals ↗Jiachen Lu, Hailan Shanbhag, Haitham Hassanieh
  50. Gemstones: A Model Suite for Multi-Faceted Scaling Laws ↗Sean McLeish, John Kirchenbauer, David Miller et al.
  51. GenColor: Generative and Expressive Color Enhancement with Pixel-Perfect Texture Preservation ↗Yi Dong, Yuxi Wang, Xianhui Lin et al.
  52. GenSpace: Benchmarking Spatially-Aware Image Generation ↗Zehan Wang, Jiayang Xu, Ziang Zhang et al.
  53. GeneFlow: Translation of Single-cell Gene Expression to Histopathological Images via Rectified Flow ↗Mengbo Wang, Shourya Verma, Aditya Malusare et al.
  54. Generalizable Hand-Object Modeling from Monocular RGB Images via 3D Gaussians ↗Xingyu Liu, Pengfei Ren, Qi Qi et al.
  55. Generalizable Insights for Graph Transformers in Theory and Practice ↗Timo Stoll, Luis Müller, Christopher Morris
  56. Generalizable Reasoning through Compositional Energy Minimization ↗Alexandru Oarga, Yilun Du
  57. Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel ↗Yilan Chen, Zhichao Wang, Wei Huang et al.
  58. Generalization Bounds for Kolmogorov-Arnold Networks (KANs) and Enhanced KANs with Lower Lipschitz Complexity ↗Pengqi Li, Lizhong Ding, Jiarun Fu et al.
  59. Generalization Bounds for Model-based Algorithm Configuration ↗Zhiyang Chen, Hailong Yao, Xia Yin
  60. Generalization Bounds for Rank-sparse Neural Networks ↗Antoine Ledent, Rodrigo Alves, Yunwen Lei
  61. Generalization Error Analysis for Selective State-Space Models Through the Lens of Attention ↗Arya Honarpisheh, Mustafa Bozdag, Octavia Camps et al.
  62. Generalization Guarantees for Learning Score-Based Branch-and-Cut Policies in Integer Programming ↗Hongyu Cheng, Amitabh Basu
  63. Generalization or Hallucination? Understanding Out-of-Context Reasoning in Transformers ↗Yixiao Huang, Hanlin Zhu, Tianyu Guo et al.
  64. Generalized Gradient Norm Clipping & Non-Euclidean (L0,L1)-Smoothness ↗Thomas Pethick, Wanyun Xie, Mete Erdogan et al.
  65. Generalized Linear Bandits: Almost Optimal Regret with One-Pass Update ↗Yujie Zhang, Sheng-An Xu, Peng Zhao et al.
  66. Generalized Top-k Mallows Model for Ranked Choices ↗Shahrzad Haddadan, Sara Ahmadian
  67. Generalized and Invariant Single-Neuron In-Vivo Activity Representation Learning ↗Wei Wu, Yuxing Lu, Zhengrui Guo et al.
  68. Generalizing Experience for Language Agents with Hierarchical MetaFlows ↗Shengda Fan, Xin Cong, Zhong Zhang et al.
  69. Generalizing Single-Frame Supervision to Event-Level Understanding for Video Anomaly Detection ↗Junxi Chen, Liang Li, Yunbin Tu et al.
  70. Generalizing while preserving monotonicity in comparison-based preference learning models ↗Julien Fageot, Peva Blanchard, Gilles Bareilles et al.
  71. Generating Computational Cognitive models using Large Language Models ↗Milena Rmus, Akshay Kumar Jagadish, Marvin Mathony et al.
  72. Generating Informative Samples for Risk-Averse Fine-Tuning of Downstream Tasks ↗Heasung Kim, Taekyun Lee, Hyeji Kim et al.
  73. Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing ↗Eunbyeol Cho, Jiyoun Kim, Minjae Lee et al.
  74. Generating Physically Sound Designs from Text and a Set of Physical Constraints ↗Gregory Barber, TODD HENRY, Mulugeta Haile
  75. Generating and Checking DNN Verification Proofs ↗Hai Duong, ThanhVu H. Nguyen, Matthew B. Dwyer
  76. Generative Data Augmentation via Diffusion Distillation, Adversarial Alignment, and Importance Reweighting ↗Ruyi An, haicheng huang, Huangjie Zheng et al.
  77. Generative Distribution Embeddings: Lifting autoencoders to the space of distributions for multiscale representation learning ↗Nic Fishman, Gokul Gowri, Peng Yin et al.
  78. Generative Perception of Shape and Material from Differential Motion ↗Xinran Han, Ko Nishino, Todd E. Zickler
  79. Generative property enhancer: implicit guided generation through conditional density estimation ↗Pedro O. Pinheiro, Pan Kessel, Aya Ismail et al.
  80. Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions ↗Marc Brooks, Gabriel Durham, Kihyuk Hong et al.
  81. GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters ↗Wanjia Zhao, Jiaqi Han, Siyi Gu et al.
  82. GeoDynamics: A Geometric State‑Space Neural Network for Understanding Brain Dynamics on Riemannian Manifolds ↗Tingting Dan, Jiaqi Ding, Guorong Wu
  83. GeoRemover: Removing Objects and Their Causal Visual Artifacts ↗Zixin Zhu, Haoxiang Li, Xuelu Feng et al.
  84. Geometric Algebra-Enhanced Bayesian Flow Network for RNA Inverse Design ↗Rubo Wang, Xingyu Gao, Peilin Zhao
  85. Geometric Algorithms for Neural Combinatorial Optimization with Constraints ↗Nikolaos Karalias, Akbar Rafiey, Yifei Xu et al.
  86. Geometric Logit Decoupling for Energy-Based Graph Out-of-distribution Detection ↗Min Wang, Hao Yang, Qing Cheng et al.
  87. Geometric Mixture Models for Electrolyte Conductivity Prediction ↗Anyi Li, Jiacheng Cen, Songyou Li et al.
  88. Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts ↗Ben Schiffer, Mark Sellke
  89. Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency ↗Van-Anh Nguyen, Trung Le, Mehrtash Tafazzoli Harandi et al.
  90. Geometry-Aware Edge Pooling for Graph Neural Networks ↗Katharina Limbeck, Lydia Mezrag, Guy Wolf et al.
  91. Glance2Gaze: Efficient Vision-Language Models from Glance Fusion to Gaze Compression ↗Juan Chen, Honglin liu, Yingying Ao et al.
  92. Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm ↗Yang Xu, Swetha Ganesh, Washim Uddin Mondal et al.
  93. Global Minimizers of Sigmoid Contrastive Loss ↗Kiril Bangachev, Guy Bresler, Iliyas Noman et al.
  94. Global Minimizers of p-Regularized Objectives Yield the Sparsest ReLU Neural Networks ↗Julia Nakhleh, Robert D. Nowak
  95. Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning ↗Zhuang Qi, Yu Pan, Lei Meng et al.
  96. Globally Optimal Policy Gradient Algorithms for Reinforcement Learning with PID Control Policies ↗Vipul Sharma, Wesley A. Suttle, S. Sivaranjani
  97. Glocal Information Bottleneck for Time Series Imputation ↗Jie Chi Yang, Kexin X. Zhang, Guibin Zhang et al.
  98. GnnXemplar: Exemplars to Explanations - Natural Language Rules for Global GNN Interpretability ↗Burouj Armgaan, Eshan Jain, Harsh Pandey et al.
  99. Go With the Flow: Fast Diffusion for Gaussian Mixture Models ↗George Rapakoulias, Ali Reza Pedram, Fengjiao Liu et al.
  100. GoalLadder: Incremental Goal Discovery with Vision-Language Models ↗Alexey Zakharov, Shimon Whiteson

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