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title: "NeurIPS 2025 — all accepted papers, page 32 — Elamur Research"
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# NeurIPS 2025: all accepted papers

5,819 papers · page 32 of 59 · the most cited first · [← NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/)

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3101. **[Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems ↗](https://doi.org/10.52202/085713-0860)**Minchan Jeong, Jongha Jon Ryu, Se-Young Yun et al.
3102. **[Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees ↗](https://doi.org/10.52202/085713-0318)**Sourav Ganguly, Kishan Panaganti, Arnob Ghosh et al.
3103. **[Efficient Preference-Based Reinforcement Learning: Randomized Exploration meets Experimental Design ↗](https://doi.org/10.52202/085713-0407)**Andreas Schlaginhaufen, Reda Ouhamma, Maryam Kamgarpour
3104. **[Efficient Prompt Compression with Evaluator Heads for Long-Context Transformer Inference ↗](https://doi.org/10.52202/085713-5171)**Weizhi Fei, Xueyan Niu, Guoqing Xie et al.
3105. **[Efficient Quadratic Corrections for Frank-Wolfe Algorithms ↗](https://doi.org/10.52202/085713-0819)**Jannis Halbey, Seta Rakotomandimby, Mathieu Besançon et al.
3106. **[Efficient Representativeness-Aware Coreset Selection ↗](https://doi.org/10.52202/085713-3386)**Zihao Cheng, Binrui Wu, Zhiwei Li et al.
3107. **[Efficient Safe Meta-Reinforcement Learning: Provable Near-Optimality and Anytime Safety ↗](https://doi.org/10.52202/085713-1053)**Siyuan Xu, Minghui Zhu
3108. **[Efficient Spectral Control of Partially Observed Linear Dynamical Systems ↗](https://doi.org/10.52202/085713-4431)**Anand Brahmbhatt, Gon Buzaglo, Sofiia Druchyna et al.
3109. **[Efficient Speech Language Modeling via Energy Distance in Continuous Latent Space ↗](https://doi.org/10.52202/085713-3417)**Zhengrui Ma, Yang Feng, Chenze Shao et al.
3110. **[Efficient Training of Minimal and Maximal Low-Rank Recurrent Neural Networks ↗](https://doi.org/10.52202/085713-3340)**Anushri Arora, Jonathan W. Pillow
3111. **[Efficient Training-Free Online Routing for High-Volume Multi-LLM Serving ↗](https://doi.org/10.52202/085713-4577)**Fangzhou Wu, Sandeep Silwal
3112. **[Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery ↗](https://doi.org/10.52202/085713-0160)**Shiji Zhou, Tianbai Yu, Zhi Zhang et al.
3113. **[Efficient and Near-Optimal Algorithm for Contextual Dueling Bandits with Offline Regression Oracles ↗](https://doi.org/10.52202/085713-4872)**Aadirupa Saha, Robert E. Schapire
3114. **[Efficient k-Sparse Band–Limited Interpolation with Improved Approximation Ratio ↗](https://doi.org/10.52202/085713-0346)**Yang Cao, Xiaoyu Li, Zhao Song et al.
3115. **[Efficient semantic uncertainty quantification in language models via diversity-steered sampling ↗](https://doi.org/10.52202/085713-1080)**Ji Won Park, Kyunghyun Cho
3116. **[Efficiently Escaping Saddle Points under Generalized Smoothness via Self-Bounding Regularity ↗](https://doi.org/10.52202/085713-0579)**Daniel Cao, August Y. Chen, Karthik Sridharan et al.
3117. **[Efficiently Maintaining the Multilingual Capacity of MCLIP in Downstream Cross-Modal Retrieval Tasks ↗](https://doi.org/10.52202/085713-3364)**Fengmao Lyu, Jitong Lei, Guosheng Lin et al.
3118. **[Efficiently Verifiable Proofs of Data Attribution ↗](https://doi.org/10.52202/085713-5817)**Ari Karchmer, Seth Neel, Martin Pawelczyk
3119. **[Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models ↗](https://doi.org/10.52202/085713-2770)**Julius Vetter, Manuel Gloeckler, Daniel Gedon et al.
3120. **[EgoBridge: Domain Adaptation for Generalizable Imitation from Egocentric Human Data ↗](https://doi.org/10.52202/085713-1569)**Ryan Punamiya, Dhruv Patel, Patcharapong Aphiwetsa et al.
3121. **[EgoDTM: Towards 3D-Aware Egocentric Video-Language Pretraining ↗](https://doi.org/10.52202/085713-4088)**Boshen Xu, Yuting Mei, liu xinbi et al.
3122. **[Elastic Robust Unlearning of Specific Knowledge in Large Language Models ↗](https://doi.org/10.52202/085713-0279)**Yize Sui, Jing Ren, Wenjing Yang et al.
3123. **[Elastic ViTs from Pretrained Models without Retraining ↗](https://doi.org/10.52202/085713-0824)**Walter Simoncini, Michael Dorkenwald, Tijmen Blankevoort et al.
3124. **[Elevating Visual Perception in Multimodal LLMs with Visual Embedding Distillation ↗](https://doi.org/10.52202/085713-2743)**Jitesh Jain, Zhengyuan Yang, Humphrey Shi et al.
3125. **[Elucidated Rolling Diffusion Models for Probabilistic Forecasting of Complex Dynamics ↗](https://doi.org/10.52202/085713-0068)**Salva Rühling Cachay, Miika Aittala, Karsten Kreis et al.
3126. **[Eluder dimension: localise it! ↗](https://doi.org/10.52202/085713-2078)**Alireza Bakhtiari, Alex Ayoub, Samuel Robertson et al.
3127. **[Embedding Principle of Homogeneous Neural Network for Classification Problem ↗](https://doi.org/10.52202/085713-0474)**Jia‐Han Zhang, Yaoyu Zhang, Tao Luo
3128. **[Embeddings as Probabilistic Equivalence in Logic Programs ↗](https://doi.org/10.52202/085713-1550)**Jaron Maene, Efthymia Tsamoura
3129. **[Embodied Cognition Augmented End2End Autonomous Driving ↗](https://doi.org/10.52202/085713-1487)**Ling Niu, Xiaoji Zheng, Han Wang et al.
3130. **[Embodied Crowd Counting ↗](https://doi.org/10.52202/085713-2470)**Runling Long, Yunlong Wang, Jia Wan et al.
3131. **[Embracing Contradiction: Theoretical Inconsistency Will Not Impede the Road of Building Responsible AI Systems ↗](https://doi.org/10.52202/085713-5037)**Gordon Dai, Yunze Xiao
3132. **[Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies ↗](https://doi.org/10.52202/085713-4888)**Yankai Chen, Xinni Zhang, Yifei Zhang et al.
3133. **[Emergence and Evolution of Interpretable Concepts in Diffusion Models ↗](https://doi.org/10.52202/085713-5566)**Berk Tınaz, Zalan Fabian, Mahdi Soltanolkotabi
3134. **[Emergence and scaling laws in SGD learning of shallow neural networks ↗](https://doi.org/10.52202/085713-1280)**Yunwei Ren, Eshaan Nichani, Denny C.-Y. Wu et al.
3135. **[Emergence of Linear Truth Encodings in Language Models ↗](https://doi.org/10.52202/085713-0913)**Shauli Ravfogel, Gilad Yehudai, Tal Linzen et al.
3136. **[Emergent Risk Awareness in Rational Agents under Resource Constraints ↗](https://doi.org/10.52202/085713-3991)**Daniel Jarne Ornia, Nicholas Bishop, Joel Dyer et al.
3137. **[Emerging Risks from Embodied AI Require Urgent Policy Action ↗](https://doi.org/10.52202/085713-5331)**Jared Perlo, Alexander Robey, Fazl Barez et al.
3138. **[Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning ↗](https://doi.org/10.52202/085713-1468)**Simin Li, Zihao Mao, Hanxiao Li et al.
3139. **[Empower Words: DualGround for Structured Phrase and Sentence-Level Temporal Grounding ↗](https://doi.org/10.52202/085713-3094)**Minseok Kang, Minhyeok Lee, Minjung Kim et al.
3140. **[Empowering Decision Trees via Shape Function Branching ↗](https://doi.org/10.52202/085713-4077)**Nakul Upadhya, Eldan Cohen
3141. **[EnCompass: Enhancing Agent Programming with Search Over Program Execution Paths ↗](https://doi.org/10.52202/085713-3533)**Zhening Li, Armando Solar-Lezama, Yisong Yue et al.
3142. **[Encoder-Decoder Diffusion Language Models for Efficient Training and Inference ↗](https://doi.org/10.52202/085713-0528)**Marianne Arriola, Yair Schiff, Hao Phung et al.
3143. **[Encouraging metric-aware diversity in contrastive representation space ↗](https://doi.org/10.52202/085713-2035)**Tianxu Li, Kun Zhu
3144. **[End-to-End Vision Tokenizer Tuning ↗](https://doi.org/10.52202/085713-1589)**Wenxuan Wang, Fan Zhang, Yufeng Cui et al.
3145. **[EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation ↗](https://doi.org/10.52202/085713-1263)**Siyuan Huang, Liliang Chen, Pengfei Zhou et al.
3146. **[Energy Landscape-Aware Vision Transformers: Layerwise Dynamics and Adaptive Task-Specific Training via Hopfield States ↗](https://doi.org/10.52202/085713-0419)**Runze Xia, Richard Jiang
3147. **[Energy Loss Functions for Physical Systems ↗](https://doi.org/10.52202/085713-5470)**Oumar Kaba, Kusha Sareen, Daniel Levy et al.
3148. **[Energy-based generator matching: A neural sampler for general state space ↗](https://doi.org/10.52202/085713-3683)**Dongyeop Woo, Minsu Kim, Min‐Kyu Kim et al.
3149. **[Enforcing convex constraints in Graph Neural Networks ↗](https://doi.org/10.52202/085713-5749)**Ahmed Rashwan, Keith Briggs, Chris Budd et al.
3150. **[EngiBench: A Framework for Data-Driven Engineering Design Research ↗](https://doi.org/10.52202/085713-0003)**Florian Felten, Gabriel Apaza, Gerhard Bräunlich et al.
3151. **[Enhanced Self-Distillation Framework for Efficient Spiking Neural Network Training ↗](https://doi.org/10.52202/085713-3724)**Xiaochen Zhao, Chengting Yu, Ke Yu et al.
3152. **[Enhancing 3D Reconstruction for Dynamic Scenes ↗](https://doi.org/10.52202/085713-0045)**Jisang Han, Honggyu An, Jaewoo Jung et al.
3153. **[Enhancing Bioactivity Prediction via Spatial Emptiness Representation of Protein-ligand Complex and Union of Multiple Pockets ↗](https://doi.org/10.52202/085713-3543)**Zhiyuan Zhou, Yueming Yin, Yiming Yang et al.
3154. **[Enhancing CLIP Robustness via Cross-Modality Alignment ↗](https://doi.org/10.52202/085713-0592)**Xingyu Zhu, Beier Zhu, Shuo Wang et al.
3155. **[Enhancing Consistency of Flow-Based Image Editing through Kalman Control ↗](https://doi.org/10.52202/085713-4746)**Haozhe Chi, Zhicheng Sun, Yang Jin et al.
3156. **[Enhancing Contrastive Learning with Variable Similarity ↗](https://doi.org/10.52202/085713-0724)**Haowen Cui, Shuo Chen, Jun Li et al.
3157. **[Enhancing Deep Batch Active Learning for Regression with Imperfect Data Guided Selection ↗](https://doi.org/10.52202/085713-4651)**Yinjie Min, Furong Xu, Xinyao Li et al.
3158. **[Enhancing Graph Classification Robustness with Singular Pooling ↗](https://doi.org/10.52202/085713-4666)**Sofiane Ennadir, Oleg Smirnov, Yassine Abbahaddou et al.
3159. **[Enhancing Interpretability in Deep Reinforcement Learning through Semantic Clustering ↗](https://doi.org/10.52202/085713-1673)**Liang Zhang, Justin Lieffers, Adarsh Pyarelal
3160. **[Enhancing LLM Watermark Resilience Against Both Scrubbing and Spoofing Attacks ↗](https://doi.org/10.52202/085713-0943)**Huanming Shen, Baizhou Huang, Xiaojun Wan
3161. **[Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size ↗](https://doi.org/10.52202/085713-0465)**Rustem Islamov, Niccolò Ajroldi, Antonio Orvieto et al.
3162. **[Enhancing Privacy in Multimodal Federated Learning with Information Theory ↗](https://doi.org/10.52202/085713-4758)**Tianzhe Xiao, Yichen Li, Yining Qi et al.
3163. **[Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization ↗](https://doi.org/10.52202/085713-2120)**Xiyue Peng, Hengquan Guo, Jiawei Zhang et al.
3164. **[Enhancing Tactile-based Reinforcement Learning for Robotic Control ↗](https://doi.org/10.52202/085713-4312)**Elle Miller, Trevor McInroe, David Lynn Abel et al.
3165. **[Enhancing Training Data Attribution with Representational Optimization ↗](https://doi.org/10.52202/085713-3421)**Weiwei Sun, Haokun Liu, Nikhil Kandpal et al.
3166. **[Enhancing Zero-Shot Black-Box Optimization via Pretrained Models with Efficient Population Modeling, Interaction, and Stable Gradient Approximation ↗](https://doi.org/10.52202/085713-1117)**韩牧麒, Xiaobin Li, Kai Wu et al.
3167. **[Enhancing the Maximum Effective Window for Long-Term Time Series Forecasting ↗](https://doi.org/10.52202/085713-2817)**Jiahui Zhang, Zhengyang Zhou, Wenjie Du et al.
3168. **[Enhancing the Outcome Reward-based RL Training of MLLMs with Self-Consistency Sampling ↗](https://doi.org/10.52202/085713-4395)**Jiahao Wang, Weiye Xu, Aijun Yang et al.
3169. **[Entropic Time Schedulers for Generative Diffusion Models ↗](https://doi.org/10.52202/085713-1474)**Dejan Dejan Stančević, Florian Handke, Luca Ambrogioni
3170. **[Environment Inference for Learning Generalizable Dynamical System ↗](https://doi.org/10.52202/085713-5475)**Shixuan Liu, Yue He, Haotian Wang et al.
3171. **[EnzyControl: Adding Functional and Substrate-Specific Control for Enzyme Backbone Generation ↗](https://doi.org/10.52202/085713-5123)**Chao Song, ZHIYUAN LIU, Han Huang et al.
3172. **[Epistemic Uncertainty Estimation in Regression Ensemble Models with Pairwise Epistemic Estimators ↗](https://doi.org/10.52202/085713-2161)**Lucas Berry, David Meger
3173. **[Equi-mRNA: Protein Translation Equivariant Encoding for mRNA Language Models ↗](https://doi.org/10.52202/085713-0904)**Mehdi Yazdani-Jahromi, Ali Khodabandeh Yalabadi, Özlem Özmen Garibay
3174. **[Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games ↗](https://doi.org/10.52202/085713-1630)**Runyu Lu, Peng Zhang, Ruochuan Shi et al.
3175. **[Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group Actions ↗](https://doi.org/10.52202/085713-2410)**Tobias Schmidt, Steffen Schneider, Matthias Bethge
3176. **[Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces ↗](https://doi.org/10.52202/085713-5076)**Alejandro García-Castellanos, David R. Wessels, Nicky J. van den Berg et al.
3177. **[Error Broadcast and Decorrelation as a Potential Artificial and Natural Learning Mechanism ↗](https://doi.org/10.52202/085713-4013)**Mete Erdogan, Cengiz Pehlevan, Alper Tunga Erdogan
3178. **[Error Feedback under (L0,L1)-Smoothness: Normalization and Momentum ↗](https://doi.org/10.52202/085713-5441)**Sarit Khirirat, Abdurakhmon Sadiev, Artem Riabinin et al.
3179. **[Error Forcing in Recurrent Neural Networks ↗](https://doi.org/10.52202/085713-1840)**A Erdem Sağtekin, Colin Bredenberg, Cristina Savin
3180. **[ErrorTrace: A Black-Box Traceability Mechanism Based on Model Family Error Space ↗](https://doi.org/10.52202/085713-2306)**Chuanchao Zang, Xiangtao Meng, Wenyu Chen et al.
3181. **[Escaping Collapse: The Strength of Weak Data for Large Language Model Training ↗](https://doi.org/10.52202/085713-0983)**Kareem Amin, Sara Babakniya, Alex Bie et al.
3182. **[Escaping saddle points without Lipschitz smoothness: the power of nonlinear preconditioning ↗](https://doi.org/10.52202/085713-4137)**Alexander Bodard, Panagiotis Patrinos
3183. **[Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? ↗](https://doi.org/10.52202/085713-1388)**Yiwei Yang, Chung Peng Lee, Shangbin Feng et al.
3184. **[Establishing Best Practices in Building Rigorous Agentic Benchmarks ↗](https://doi.org/10.52202/085713-5547)**Yuxuan Zhu, Tengjun Jin, Yada Pruksachatkun et al.
3185. **[Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel–Young Losses ↗](https://doi.org/10.52202/085713-1116)**Yu Kevin Cao, Han Bao, Lei Feng et al.
3186. **[Estimating Hitting Times Locally at Scale ↗](https://doi.org/10.52202/085713-1406)**Themistoklis Haris, Fabian Spaeh, Spyros Dragazis et al.
3187. **[Estimating Model Performance Under Covariate Shift Without Labels ↗](https://doi.org/10.52202/085713-5379)**Jakub Białek, Juhani Kivimäki, Wojtek Kuberski et al.
3188. **[Estimating cognitive biases with attention-aware inverse planning ↗](https://doi.org/10.52202/085713-0489)**S. BANERJEE, Daphne Cornelisse, Deepak Gopinath et al.
3189. **[Estimation of Stochastic Optimal Transport Maps ↗](https://doi.org/10.52202/085713-0982)**Sloan Nietert, Ziv Goldfeld
3190. **[Estimation of Treatment Effects in Extreme and Unobserved Data ↗](https://doi.org/10.52202/085713-3788)**Jiyuan Tan, Vasilis Syrgkanis, José Blanchet
3191. **[Eulerian Neural Network Informed by Chemical Transport for Air Quality Forecasting ↗](https://doi.org/10.52202/085713-1128)**Xukai Zhang, Shuliang Wang, Guangyin Jin et al.
3192. **[EuroSpeech: A Multilingual Speech Corpus ↗](https://doi.org/10.52202/085713-2061)**Samuel Pfisterer, Florian Grötschla, Luca A. Lanzendörfer et al.
3193. **[EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving ↗](https://doi.org/10.52202/085713-4197)**Shihan Dou, Ming Zhang, Chenhao Huang et al.
3194. **[Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia ↗](https://doi.org/10.52202/085713-4747)**Chandler Smith, Marwa Abdulhai, Manfred Diaz et al.
3195. **[Evaluating LLMs in Open-Source Games ↗](https://doi.org/10.52202/085713-3474)**Swadesh Sistla, Max Kleiman‐Weiner
3196. **[Evaluating Program Semantics Reasoning with Type Inference in System F ↗](https://doi.org/10.52202/085713-0123)**Yifeng He, Luning Yang, Christopher Gonzalo et al.
3197. **[Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death ↗](https://doi.org/10.52202/085713-3655)**Sihyung Park, Wenbin Lu, Shu Yang
3198. **[Evaluating multiple models using labeled and unlabeled data ↗](https://doi.org/10.52202/085713-1029)**Divya Shanmugam, Shuvom Sadhuka, Manish Raghavan et al.
3199. **[Evaluating the Inductive Abilities of Large Language Models: Why Chain-of-Thought Reasoning Sometimes Hurts More Than Helps ↗](https://doi.org/10.52202/085713-3441)**Haibo Jin, Peiyan Zhang, Man Luo et al.
3200. **[Eve3D: Elevating Vision Models for Enhanced 3D Surface Reconstruction via Gaussian Splatting ↗](https://doi.org/10.52202/085713-2281)**Jiawei Zhang, Youmin Zhang, Fabio Tosi et al.

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