NeurIPS 2025: all accepted papers
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- Adaptively Coordinating with Novel Partners via Learned Latent Strategies ↗Benjamin C. Li, Shuyang Shi, Lucia Romero et al.
- Additive Models Explained: A Computational Complexity Approach ↗Shahaf Bassan, Michal Moshkovitz, Guy Katz
- Addressing Mark Imbalance in Integration-free Marked Temporal Point Processes ↗Sishun Liu, Ke Deng, Yongli Ren et al.
- Adjusting Initial Noise to Mitigate Memorization in Text-to-Image Diffusion Models ↗Hyeonggeun Han, Sehwan Kim, Hyungjun Joo et al.
- AdmTree: Compressing Lengthy Context with Adaptive Semantic Trees ↗Yangning Li, Shaoshen Chen, Yinghui Li et al.
- AdvEDM: Fine-grained Adversarial Attack against VLM-based Embodied Agents ↗Yichen Wang, Hangtao Zhang, Hewen Pan et al.
- AdvPrefix: An Objective for Nuanced LLM Jailbreaks ↗Sicheng Zhu, Brandon Amos, Yuandong Tian et al.
- Advancing Interpretability of CLIP Representations with Concept Surrogate Model ↗Nhat Hoang-Xuan, Xiyuan Wei, Wanli Xing et al.
- Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective ↗Chenwang Wu, Yiu‐ming Cheung, Bo Han et al.
- Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment ↗Xiaojun Jia, Sensen Gao, Simeng Qin et al.
- Adversarial Diffusion for Robust Reinforcement Learning ↗Daniele Foffano, Alessio Russo, Alexandre Proutière
- Adversarial Robustness of Nonparametric Regression ↗Parsa Moradi, Hanzaleh Akbari Nodehi, Mohammad Ali Maddah-Ali
- Adversary Aware Optimization for Robust Defense ↗Daniel Wesego, Pedram Rooshenas
- AegisGuard: RL-Guided Adapter Tuning for TEE-Based Efficient & Secure On-Device Inference ↗CHE WANG, Ziqi Zhang, Yinggui Wang et al.
- Aeolus: A Multi-structural Flight Delay Dataset ↗Lin Xu, Xinyun Yuan, Yuxuan Liang et al.
- Affine-Invariant Global Non-Asymptotic Convergence Analysis of BFGS under Self-Concordance ↗Qiujiang Jin, Aryan Mokhtari
- Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization ↗Mingzhe Du, Luu Anh Tuan, Yue Liu et al.
- Agentic Plan Caching: Test-Time Memory for Fast and Cost-Efficient LLM Agents ↗Qizheng Zhang, Michael Wornow, Kunle Olukotun
- Agents Robust to Distribution Shifts Learn Causal World Models Even Under Mediation ↗Matteo Ceriscioli, Karthika Mohan
- Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations ↗Olawale Salaudeen, Haoran Zhang, Kumail Alhamoud et al.
- Agnostic Continuous-Time Online Learning ↗Pramith Devulapalli, Changlong Wu, Ananth Grama et al.
- Agnostic Learning under Targeted Poisoning: Optimal Rates and the Role of Randomness ↗Bogdan Chornomaz, Yonatan Koren, Shay Moran et al.
- Aha! - Predicting What Matters Next: Online Highlight Detection Without Looking Ahead ↗Aiden Chang, Celso de Melo, Stephanie M. Lukin
- AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation ↗Xinbiao Wang, Yuxuan Du, Zihan Lou et al.
- Alchemist: Turning Public Text-to-Image Data into Generative Gold ↗Valerii Startsev, Alexander Ustyuzhanin, Alexey Kirillov et al.
- AlgoTune: Can Language Models Speed Up General-Purpose Numerical Programs? ↗Ori Press, Brandon Amos, Haoyu Zhao et al.
- Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models ↗Benjamin Dupuis, Dario Shariatian, Maxime Haddouche et al.
- Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-Index Models ↗Ilias Diakonikolas, Giannis Iakovidis, Daniel M. Kane et al.
- AliO: Output Alignment Matters in Long-Term Time Series Forecasting ↗Kwangryeol Park, Jaeho Kim, Seulki Lee
- Alias-Free ViT: Fractional Shift Invariance via Linear Attention ↗Hagay Michaeli, Daniel Soudry
- Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences ↗Jing Sun, Hang Fan, Junchao Gong et al.
- Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs ↗Gerardo Flores, Alyssa H. Smith, Julia Fukuyama et al.
- Aligning by Misaligning: Boundary-aware Curriculum Learning for Multimodal Alignment ↗Hua Ye, Hang Ding, Siyuan Chen et al.
- Alignment of Large Language Models with Constrained Learning ↗Botong Zhang, Shuo Li, Ignacio Hounie et al.
- Alleviating Hallucinations in Large Language Models through Multi-Model Contrastive Decoding and Dynamic Hallucination Detection ↗Chenyu Zhu, Yefeng Liu, Hao Zhang et al.
- Alligat0R: Pre-Training through Covisibility Segmentation for Relative Camera Pose Regression ↗Thibaut Loiseau, Guillaume Bourmaud, Vincent Lepetit
- AlphaBeta is not as good as you think: a simple class of synthetic games for a better analysis of deterministic game-solving algorithms ↗Raphaël Boige, Amine M. Boumaza, Bruno Scherrer
- Alternating Gradient Flows: A Theory of Feature Learning in Two-layer Neural Networks ↗Daniel Kunin, Giovanni Luca Marchetti, Feng Chen et al.
- Ambient Diffusion Omni: Training Good Models with Bad Data ↗Giannis Daras, Adrián Rodríguez-Muñoz, Adam R. Klivans et al.
- Ambient Proteins - Training Diffusion Models on Noisy Structures ↗Giannis Daras, Jeffrey Ouyang-Zhang, Krithika Ravishankar et al.
- AmorLIP: Efficient Language-Image Pretraining via Amortization ↗Haotian Sun, Yitong Li, Yuchen Zhuang et al.
- Amortized Active Generation of Pareto Sets ↗Daniel Steinberg, Asiri Wijesinghe, Rafael Oliveira et al.
- Amortized Sampling with Transferable Normalizing Flows ↗Charlie Tan, Majdi Hassan, Leon Klein et al.
- Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process ↗Tsai Hor Chan, Feng He Wu, Yihang Chen et al.
- An Adaptive Algorithm for Bilevel Optimization on Riemannian Manifolds ↗Xu Shi, Rufeng Xiao, Rujun Jiang
- An Adaptive Quantum Circuit of Dempster's Rule of Combination for Uncertain Pattern Classification ↗Fuyuan Xiao, Yu Zhou, Witold Pedrycz
- An Analysis of Causal Effect Estimation using Outcome Invariant Data Augmentation ↗Uzair Akbar, Niki Kilbertus, Hao Shen et al.
- An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models ↗Binxu Wang, Cengiz Pehlevan
- An Effective Levelling Paradigm for Unlabeled Scenarios ↗Fangming Cui, Zhou Yu, Di Yang et al.
- An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks ↗Linus Aronsson, Morteza Haghir Chehreghani
- An Efficient Orlicz-Sobolev Approach for Transporting Unbalanced Measures on a Graph ↗Tam Le, Truyen Nguyen, Hideitsu Hino et al.
- An Ellipsoid Algorithm for Online Convex Optimization ↗Zakaria Mhammedi
- An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction ↗Tim van Erven, Jack Mayo, Julia Olkhovskaya et al.
- An Investigation of Memorization Risk in Healthcare Foundation Models ↗Sana Tonekaboni, Lena Stempfle, Adibvafa Fallahpour et al.
- An Iterative Algorithm for Differentially Private k-PCA with Adaptive Noise ↗Johanna Düngler, Amartya Sanyal
- An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds ↗Siyu Chen, Theodor Misiakiewicz, Ilias Zadik et al.
- Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions ↗Zhaoxian Wu, Quan Xiao, Tayfun Gokmen et al.
- Analogy-based Multi-Turn Jailbreak against Large Language Models ↗Mengjie Wu, Yihao Huang, Zhenjun Lin et al.
- Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning ↗Jifeng Hu, Sili Huang, Zhejian Yang et al.
- Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models ↗Jiachen Jiang, Jinxin Zhou, Bo Peng et al.
- Analyzing Similarity Metrics for Data Selection for Language Model Pretraining ↗Dylan Sam, Ayan Chakrabarti, Afshin Rostamizadeh et al.
- Analyzing the Power of Chain of Thought through Memorization Capabilities ↗Lijia Yu, Xiao-Shan Gao, Lijun Zhang
- Anatomically inspired digital twins capture hierarchical object representations in visual cortex ↗Emanuele Luconi, Dario Liscai, Carlo Baldassi et al.
- Anchor-based Maximum Discrepancy for Relative Similarity Testing ↗Zhijian Zhou, Liuhua Peng, Xunye Tian et al.
- Anchored Diffusion Language Model ↗Litu Rout, Constantine Caramanis, Sanjay Shakkottai
- AneuG-Flow: A Large-Scale Synthetic Dataset of Diverse Intracranial Aneurysm Geometries and Hemodynamics ↗Wenhao Ding, Yiying Sheng, Simão de Castro et al.
- AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant Adversarial Patches ↗Wenjun Ji, Yuxiang Fu, Luyang Ying et al.
- Angles Don’t Lie: Unlocking Training‑Efficient RL Through the Model’s Own Signals ↗Qinsi Wang, Jinghan Ke, Hancheng Ye et al.
- Angular Constraint Embedding via SpherePair Loss for Constrained Clustering ↗Shaojie Zhang, Ke Chen
- AnimateQR: Bridging Aesthetics and Functionality in Dynamic QR Code Generation ↗Guangyang Wu, Huayu Zheng, Siqi Luo et al.
- Anomaly Detection by an Ensemble of Random Pairs of Hyperspheres ↗Walid Durani, Collin Leiber, Khalid Durani et al.
- Any-stepsize Gradient Descent for Separable Data under Fenchel–Young Losses ↗Han Bao, Shinsaku Sakaue, Yuki Takezawa
- Anytime-valid, Bayes-assisted, Prediction-Powered Inference ↗Valentin Kilian, Stefano Cortinovis, Francois Caron
- Approximate Domain Unlearning for Vision-Language Models ↗Kodai Kawamura, Yuta Goto, Rintaro Yanagi et al.
- Approximate Gradient Coding for Distributed Learning with Heterogeneous Stragglers ↗Heekang Song, Wan Choi
- Approximately Aligned Decoding ↗Daniel Melcer, Sujan K. Gonugondla, Pramuditha Perera et al.
- Approximation theory for 1-Lipschitz ResNets ↗Davide Murari, Takashi Furuya, Carola‐Bibiane Schönlieb
- ArchPower: Dataset for Architecture-Level Power Modeling of Modern CPU Design ↗Qijun Zhang, Yao Lu, Mengming Li et al.
- Architectural and Inferential Inductive Biases for Exchangeable Sequence Modeling ↗Daksh Mittal, Ang Li, Thomson Yen et al.
- Are Greedy Task Orderings Better Than Random in Continual Linear Regression? ↗Matan Tsipory, Ran Levinstein, Itay Evron et al.
- Are Language Models Efficient Reasoners? A Perspective from Logic Programming ↗Andreas Opedal, Yanick Zengaffinen, Haruki Shirakami et al.
- Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost ↗Runzhe Zhan, Zhihong Huang, Xinyi Yang et al.
- Ascent Fails to Forget ↗Ioannis Mavrothalassitis, Pol Puigdemont, Noam Levi et al.
- Assessing the quality of denoising diffusion models in Wasserstein distance: noisy score and optimal bounds ↗Vahan Arsenyan, Elen Vardanyan, Arnak S. Dalalyan
- Assignments for Congestion-Averse Agents: Seeking Competitive and Envy-Free Solutions ↗Jiehua Chen, Jiong Guo, Yinghui Wen
- Association-Focused Path Aggregation for Graph Fraud Detection ↗Tian Qiu, Wenda Li, Zunlei Feng et al.
- Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning ↗Remco Leijenaar, Hamidreza Kasaei
- Asymmetric Duos: Sidekicks Improve Uncertainty ↗Tim G. Zhou, Evan Shelhamer, Geoff Pleiss
- Asymmetric REINFORCE for off-Policy Reinforcement Learning: Balancing positive and negative rewards ↗Charles Arnal, Gaëtan Narozniak, Vivien Cabannes et al.
- Asymptotic theory of SGD with a general learning-rate ↗Or Goldreich, Ziyang Wei, Soham Bonnerjee et al.
- Asymptotically exact variational flows via involutive MCMC kernels ↗Zuheng Xu, Trevor Campbell
- Atom of Thoughts for Markov LLM Test-Time Scaling ↗Fengwei Teng, Quan Shi, Zhaoyang Yu et al.
- Atomic Diffusion Models for Small Molecule Structure Elucidation from NMR Spectra ↗Ziyu Xiong, Yichi Zhang, Foyez Alauddin et al.
- Attack by Yourself: Effective and Unnoticeable Multi-Category Graph Backdoor Attacks with Subgraph Triggers Pool ↗Jiangtong Li, Dongyi Liu, Kun Zhu et al.
- Attack via Overfitting: 10-shot Benign Fine-tuning to Jailbreak LLMs ↗Zhixin Xie, Xurui Song, Jun Luo
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