---
title: "NeurIPS 2025 — all accepted papers, page 53 — Elamur Research"
description: "All 5,819 papers of NeurIPS 2025 · page 53 of 59, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/53/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/53/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [NeurIPS](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) / [2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/) / [papers](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/) / page 53

# NeurIPS 2025: all accepted papers

5,819 papers · page 53 of 59 · the most cited first · [← NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/)

[← prev](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/52/) [1](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/) … [50](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/50/) [51](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/51/) [52](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/52/) **53** [54](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/54/) … [59](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/59/) [next →](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/54/)

5201. **[Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation ↗](https://doi.org/10.52202/085713-2663)**Yao Teng, Fuyun Wang, Xian Liu et al.
5202. **[Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Bootstrapping ↗](https://doi.org/10.52202/085713-5299)**Pu Yang, Yunzhen Feng, Ziyuan Chen et al.
5203. **[SpiderSolver: A Geometry-Aware Transformer for Solving PDEs on Complex Geometries ↗](https://doi.org/10.52202/085713-5116)**KAI QI, Fan Wang, Zhewen Dong et al.
5204. **[Spik-NeRF: Spiking Neural Networks for Neural Radiance Fields ↗](https://doi.org/10.52202/085713-1577)**Gang Wan, Qinlong Lan, Zihan Li et al.
5205. **[Spike-RetinexFormer: Rethinking Low-light Image Enhancement with Spiking Neural Networks ↗](https://doi.org/10.52202/085713-0382)**Hongzhi Wang, Xiubo Liang, Jinxing Han et al.
5206. **[Spike-timing-dependent Hebbian learning as noisy gradient descent ↗](https://doi.org/10.52202/085713-3555)**Niklas Dexheimer, Sascha Gaudlitz, Johannes Schmidt-Hieber
5207. **[Spike4DGS: Towards High-Speed Dynamic Scene Rendering with 4D Gaussian Splatting via a Spike Camera Array ↗](https://doi.org/10.52202/085713-0965)**Qinghong Ye, Yiqian Chang, Jianing Li et al.
5208. **[SpikingVTG: A Spiking Detection Transformer for Video Temporal Grounding ↗](https://doi.org/10.52202/085713-1607)**Malyaban Bal, Brian Matejek, Susmit Jha et al.
5209. **[Spiral: Semantic-Aware Progressive LiDAR Scene Generation and Understanding ↗](https://doi.org/10.52202/085713-1932)**Dekai Zhu, Yixuan Hu, Youquan Liu et al.
5210. **[SplashNet: Split‑and‑Share Encoders for Accurate and Efficient Typing with Surface Electromyography ↗](https://doi.org/10.52202/085713-5537)**Nima Hadidi, Jason Chan, Ebrahim Feghhi et al.
5211. **[Split Gibbs Discrete Diffusion Posterior Sampling ↗](https://doi.org/10.52202/085713-4856)**Wenda Chu, Zihui Wu, Yifan Chen et al.
5212. **[Split conformal classification with unsupervised calibration ↗](https://doi.org/10.52202/085713-0255)**Santiago Mazuelas
5213. **[Spotlight Attention: Towards Efficient LLM Generation via Non-linear Hashing-based KV Cache Retrieval ↗](https://doi.org/10.52202/085713-2883)**Wenhao Li, Yuxin Zhang, Gen Luo et al.
5214. **[Squared families are useful conjugate priors ↗](https://doi.org/10.52202/085713-0813)**Russell Tsuchida, Jiawei Liu, Cheng Soon Ong et al.
5215. **[Stab-SGD: Noise-Adaptivity in Smooth Optimization with Stability Ratios ↗](https://doi.org/10.52202/085713-0660)**David A. R. Robin, Killian Bakong, Kevin Scaman
5216. **[Stability and Oracle Inequalities for Optimal Transport Maps between General Distributions ↗](https://doi.org/10.52202/085713-2382)**Shubo Li, Yizhe Ding, Lingzhou Xue et al.
5217. **[Stability and Sharper Risk Bounds with Convergence Rate O(1/n²) ↗](https://doi.org/10.52202/085713-0607)**Bo-Wei Zhu, Shaojie Li, Mingyang Yi et al.
5218. **[Stabilizing LTI Systems under Partial Observability: Sample Complexity and Fundamental Limits ↗](https://doi.org/10.52202/085713-4780)**Ziyi Zhang, Yorie Nakahira, Guannan Qu
5219. **[Stable Cinemetrics : Structured Taxonomy and Evaluation for Professional Video Generation ↗](https://doi.org/10.52202/085713-3783)**Agneet Chatterjee, Rahim Entezari, Maksym Zhuravinskyi et al.
5220. **[Stable Coresets via Posterior Sampling: Aligning Induced and Full Loss Landscapes ↗](https://doi.org/10.52202/085713-3246)**Wei-I Chang, Rajiv Khanna
5221. **[Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning ↗](https://doi.org/10.52202/085713-1177)**Roger Creus Castanyer, Johan Obando-Ceron, Lu Li et al.
5222. **[Stable Matching with Ties: Approximation Ratios and Learning ↗](https://doi.org/10.52202/085713-3233)**Shiyun Lin, Simon Mauras, Nadav Merlis et al.
5223. **[Stable Minima of ReLU Neural Networks Suffer from the Curse of Dimensionality: The Neural Shattering Phenomenon ↗](https://doi.org/10.52202/085713-0831)**Tongtong Liang, Dan Qiao, Yu-Xiang Wang et al.
5224. **[Stable Part Diffusion 4D: Multi-View RGB and Kinematic Parts Video Generation ↗](https://doi.org/10.52202/085713-3809)**Hao Zhang, Chun-Han Yao, Simon Donné et al.
5225. **[Stackelberg Learning with Outcome-based Payment ↗](https://doi.org/10.52202/085713-2593)**Tom Yan, Chicheng Zhang
5226. **[Stackelberg Self-Annotation: A Robust Approach to Data-Efficient LLM Alignment ↗](https://doi.org/10.52202/085713-2110)**Chu Xu, Zhixin Zhang, Tianyu Jia et al.
5227. **[Staggered Environment Resets Improve Massively Parallel On-Policy Reinforcement Learning ↗](https://doi.org/10.52202/085713-4444)**Sid Bharthulwar, Stone Tao, Hao Su
5228. **[StarTrail: Concentric Ring Sequence Parallelism for Efficient Near-Infinite-Context Transformer Model Training ↗](https://doi.org/10.52202/085713-3796)**Ziming Liu, Shaoyu Wang, Shenggan Cheng et al.
5229. **[State Entropy Regularization for Robust Reinforcement Learning ↗](https://doi.org/10.52202/085713-0708)**Yonatan Ashlag, Uri Koren, Mirco Mutti et al.
5230. **[State Size Independent Statistical Error Bound for Discrete Diffusion Models ↗](https://doi.org/10.52202/085713-4637)**Shintaro Wakasugi, Taiji Suzuki
5231. **[State Space Prompting via Gathering and Spreading Spatio-Temporal Information for Video Understanding ↗](https://doi.org/10.52202/085713-4794)**Jiahuan Zhou, Kai Zhu, Zhenyu Cui et al.
5232. **[Statistical Analysis of an Adversarial Bayesian Weak Supervision Method ↗](https://doi.org/10.52202/085713-4239)**Steven An
5233. **[Statistical Analysis of the Sinkhorn Iterations for Two-Sample Schrodinger Bridge Estimation ↗](https://doi.org/10.52202/085713-3962)**Ibuki Maeda, Yao Yao, Atsushi Nitanda
5234. **[Statistical Guarantees for High-Dimensional Stochastic Gradient Descent ↗](https://doi.org/10.52202/085713-3171)**J. Jenny Li, Zhipeng Lou, Johannes Schmidt-Hieber et al.
5235. **[Statistical Inference for Gradient Boosting Regression ↗](https://doi.org/10.52202/085713-1098)**Haimo Fang, Kevin Tan, Giles Hooker
5236. **[Statistical Inference under Performativity ↗](https://doi.org/10.52202/085713-4089)**Xiang Li, Yunai Li, Huiying Zhong et al.
5237. **[Statistical Parity with Exponential Weights ↗](https://doi.org/10.52202/085713-1978)**Stephen Pasteris, Chris Hicks, Vasilios Mavroudis
5238. **[Statistical inference for Linear Stochastic Approximation with Markovian Noise ↗](https://doi.org/10.52202/085713-5807)**Sergey Samsonov, Marina Sheshukova, Éric Moulines et al.
5239. **[Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification ↗](https://doi.org/10.52202/085713-2196)**Xiaobao Wang, Ruoxiao Sun, Yujun Zhang et al.
5240. **[SteerConf: Steering LLMs for Confidence Elicitation ↗](https://doi.org/10.52202/085713-0654)**Ziang Zhou, Tianyuan Jin, Jieming Shi et al.
5241. **[Steering Generative Models with Experimental Data for Protein Fitness Optimization ↗](https://doi.org/10.52202/085713-4866)**Jason Yang, Wenda Chu, Daniel Khalil et al.
5242. **[Steering Information Utility in Key-Value Memory for Language Model Post-Training ↗](https://doi.org/10.52202/085713-3414)**Chunyuan Deng, Ruidi Chang, Hanjie Chen
5243. **[Steering When Necessary: Flexible Steering Large Language Models with Backtracking ↗](https://doi.org/10.52202/085713-0285)**Zifeng Cheng, Jinwei Gan, Zhiwei Jiang et al.
5244. **[Stepsize anything: A unified learning rate schedule for budgeted-iteration training ↗](https://doi.org/10.52202/085713-5022)**Anda Tang, Yazhu Dong, Yutao Zeng et al.
5245. **[Stitch and Tell: A Structured Data Augmentation Method for Spatial Understanding ↗](https://doi.org/10.52202/085713-1162)**Yin Hang, Xiaomin He, Peiwen Yuan et al.
5246. **[Stochastic Forward-Forward Learning through Representational Dimensionality Compression ↗](https://doi.org/10.52202/085713-0006)**Zhichao Zhu, YANG QI, Hengyuan Ma et al.
5247. **[Stochastic Gradients under Nuisances ↗](https://doi.org/10.52202/085713-2899)**Facheng Yu, Ronak Mehta, Alex Luedtke et al.
5248. **[Stochastic Momentum Methods for Non-smooth Non-Convex Finite-Sum Coupled Compositional Optimization ↗](https://doi.org/10.52202/085713-2634)**Xingyu Chen, Bokun Wang, Yang Ming et al.
5249. **[Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate ↗](https://doi.org/10.52202/085713-1716)**Ferdinand Genans, Antoine Godichon‐Baggioni, François‐Xavier Vialard et al.
5250. **[Stochastic Principal-Agent Problems: Computing and Learning Optimal History-Dependent Policies ↗](https://doi.org/10.52202/085713-5239)**Jiarui Gan, R Majumdar, Debmalya Mandal et al.
5251. **[Stochastic Process Learning via Operator Flow Matching ↗](https://doi.org/10.52202/085713-1279)**Yaozhong Shi, Zachary E. Ross, Domniki Asimaki et al.
5252. **[Stochastic Regret Guarantees for Online Zeroth- and First-Order Bilevel Optimization ↗](https://doi.org/10.52202/085713-4931)**Parvin Nazari, Bojian Hou, Davoud Ataee Tarzanagh et al.
5253. **[Stochastic Shortest Path with Sparse Adversarial Costs ↗](https://doi.org/10.52202/085713-4162)**Emmeran Johnson, Alberto Rumi, Ciara Pike-Burke et al.
5254. **[Stochastically Dominant Peer Prediction ↗](https://doi.org/10.52202/085713-5071)**Yichi Zhang, Shengwei Xu, Grant Robert Schoenebeck et al.
5255. **[Straight-Line Diffusion Model for Efficient 3D Molecular Generation ↗](https://doi.org/10.52202/085713-1054)**Yuyan Ni, Shikun Feng, Haohan Chi et al.
5256. **[Strassen Attention, Split VC Dimension and Compositionality in Transformers ↗](https://doi.org/10.52202/085713-0327)**Alexander Kozachinskiy, Felipe Urrutia, Hector Orellana et al.
5257. **[Strategic Classification with Non-Linear Classifiers ↗](https://doi.org/10.52202/085713-4454)**Benyamin Trachtenberg, Nir Rosenfeld
5258. **[Strategic Cost Selection in Participatory Budgeting ↗](https://doi.org/10.52202/085713-2566)**Piotr Faliszewski, Łukasz Janeczko, Andrzej Kaczmarczyk et al.
5259. **[Strategic Costs of Perceived Bias in Fair Selection ↗](https://doi.org/10.52202/085713-3332)**L. Elisa Celis, Lingxiao Huang, Milind Sohoni et al.
5260. **[Strategic Hypothesis Testing ↗](https://doi.org/10.52202/085713-4894)**Yatong Chen, Safwan Hossain, Yiling Chen
5261. **[Stratify or Die: Rethinking Data Splits in Image Segmentation ↗](https://doi.org/10.52202/085713-2445)**Naga Venkata Sai Jitin Jami, Thomas Altstidl, Jonas Mueller et al.
5262. **[StreamBP: Memory-Efficient Exact Backpropagation for Long Sequence Training of LLMs ↗](https://doi.org/10.52202/085713-5488)**Qijun Luo, Mengqi Li, Lei Zhao et al.
5263. **[StreamFlow: Streaming Audio Generation from Discrete Tokens via Streaming Flow Matching ↗](https://doi.org/10.52202/085713-0165)**Ha-Yeong Choi, Sang-Hoon Lee
5264. **[Streaming Attention Approximation via Discrepancy Theory ↗](https://doi.org/10.52202/085713-0705)**Ekaterina Kochetkova, Kshiteej Jitesh Sheth, Insu Han et al.
5265. **[Streaming Federated Learning with Markovian Data ↗](https://doi.org/10.52202/085713-4267)**Khiem Huynh, Malcolm Egan, Giovanni Neglia et al.
5266. **[Streaming Stochastic Submodular Maximization with On-Demand User Requests ↗](https://doi.org/10.52202/085713-4155)**Honglian Wang, Sijing Tu, Lutz Oettershagen et al.
5267. **[StruDiCO: Structured Denoising Diffusion with Gradient-free Inference-stage Boosting for Memory and Time Efficient Combinatorial Optimization ↗](https://doi.org/10.52202/085713-2394)**Yu Wang, Yang Li, Junchi Yan et al.
5268. **[Structural Causal Bandits under Markov Equivalence ↗](https://doi.org/10.52202/085713-3304)**Min Woo Park, Andy Arditi, Elias Bareinboim et al.
5269. **[Structural Entropy Guided Agent for Detecting and Repairing Knowledge Deficiencies in LLMs ↗](https://doi.org/10.52202/085713-0116)**Yifan Wei, Xiaoyan Yu, Tengfei Pan et al.
5270. **[Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning ↗](https://doi.org/10.52202/085713-3656)**Xianghua Zeng, Hao Peng, Yicheng Pan et al.
5271. **[Structure Matters: Dynamic Policy Gradient ↗](https://doi.org/10.52202/085713-0550)**Sara Klein, Xiangyuan Zhang, Tamer Başar et al.
5272. **[Structure-Aware Cooperative Ensemble Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models ↗](https://doi.org/10.52202/085713-0296)**Jie Zhao, Kang Hao Cheong
5273. **[Structure-Aware Spectral Sparsification via Uniform Edge Sampling ↗](https://doi.org/10.52202/085713-1639)**Kaiwen He, Petros Drineas B, Rajiv Khanna
5274. **[Structured Initialization for Vision Transformers ↗](https://doi.org/10.52202/085713-4413)**Jianqiao Zheng, Xue-Qian Li, Hemanth Saratchandran et al.
5275. **[Structured Linear CDEs: Maximally Expressive and Parallel-in-Time Sequence Models ↗](https://doi.org/10.52202/085713-5669)**Benjamin Walker, Lingyi Yang, Nicola Muca Cirone et al.
5276. **[Structured Sparse Transition Matrices to Enable State Tracking in State-Space Models ↗](https://doi.org/10.52202/085713-2784)**Aleksandar Terzić, Nicolas Menet, Michael Hersche et al.
5277. **[Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation ↗](https://doi.org/10.52202/085713-0948)**Wei Ming Yang, Rui Fang Zhong, Yiqun Chen et al.
5278. **[StyleGuard: Preventing Text-to-Image-Model-based Style Mimicry Attacks by Style Perturbations ↗](https://doi.org/10.52202/085713-5595)**Yanjie Li, Wenxuan Zhang, Xinqi Lyu et al.
5279. **[Subgraph Federated Learning via Spectral Methods ↗](https://doi.org/10.52202/085713-3933)**Javad Aliakbari, Johan Östman, Ashkan Panahi et al.
5280. **[Subspace Networks: Scaling Decentralized Training with Communication-Efficient Model Parallelism ↗](https://doi.org/10.52202/085713-5823)**Sameera Ramasinghe, Thalaiyasingam Ajanthan, Gil Avraham et al.
5281. **[Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control ↗](https://doi.org/10.52202/085713-4166)**Georgios Papoudakis, Thomas Coste, Jianye Hao et al.
5282. **[Support Vector Generation: Kernelizing Large Language Models for Efficient Zero‑Shot NLP ↗](https://doi.org/10.52202/085713-3274)**Shohei Ohsawa
5283. **[Surface-Aware Feed-Forward Quadratic Gaussian for Frame Interpolation with Large Motion ↗](https://doi.org/10.52202/085713-5351)**Zaoming Yan, Yaomin Huang, Pengcheng Lei et al.
5284. **[SurfelSplat: Learning Efficient and Generalizable Gaussian Surfel Representations for Sparse-View Surface Reconstruction ↗](https://doi.org/10.52202/085713-5771)**Chensheng Dai, Shengjun Zhang, Min Chen et al.
5285. **[SwitchLingua: The First Large-Scale Multilingual and Multi-Ethnic Code-Switching Dataset ↗](https://doi.org/10.52202/085713-1683)**Peng Xie, Xingyuan Liu, Yequan Bie et al.
5286. **[Switchable Token-Specific Codebook Quantization For Face Image Compression ↗](https://doi.org/10.52202/085713-1446)**Yongbo Wang, Haonan Wang, Guodong Mu et al.
5287. **[SymMaP: Improving Computational Efficiency in Linear Solvers through Symbolic Preconditioning ↗](https://doi.org/10.52202/085713-2135)**Hong Wang, Jie Wang, Minghao Ma et al.
5288. **[Symmetry-Preserving Conformer Ensemble Networks for Molecular Representation Learning ↗](https://doi.org/10.52202/085713-2291)**Yanqiao Zhu, Yidan Shi, Yuanzhou Chen et al.
5289. **[SynBrain: Enhancing Visual-to-fMRI Synthesis via Probabilistic Representation Learning ↗](https://doi.org/10.52202/085713-0980)**Weijian Mai, Jiamin Wu, Yu Zhu et al.
5290. **[SynCL: A Synergistic Training Strategy with Instance-Aware Contrastive Learning for End-to-End Multi-Camera 3D Tracking ↗](https://doi.org/10.52202/085713-0126)**Shubo Lin, Yutong Kou, Zirui Wu et al.
5291. **[SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond ↗](https://doi.org/10.52202/085713-3380)**Junteng Liu, Yuanxiang Fan, Zhuo Jiang et al.
5292. **[Synergistic Tensor and Pipeline Parallelism ↗](https://doi.org/10.52202/085713-5280)**Mengshi Qi, Jiaxuan Peng, Jie Zhang et al.
5293. **[Synthesize Privacy-Preserving High-Resolution Images via Private Textual Intermediaries ↗](https://doi.org/10.52202/085713-1319)**Haoxiang Wang, Zinan Lin, Dahua Yu et al.
5294. **[System Prompt Optimization with Meta-Learning ↗](https://doi.org/10.52202/085713-1854)**Yumin Choi, Jinheon Baek, Sung Ju Hwang
5295. **[System-Embedded Diffusion Bridge Models ↗](https://doi.org/10.52202/085713-0573)**Bartłomiej Sobieski, Matthew Tivnan, Yuang Wang et al.
5296. **[S²NN: Sub-bit Spiking Neural Networks ↗](https://doi.org/10.52202/085713-1514)**Wenjie Wei, Malu Zhang, Jieyuan Zhang et al.
5297. **[T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning ↗](https://doi.org/10.52202/085713-0408)**Julie Mordacq, David Loiseaux, Vicky S. Kalogeiton et al.
5298. **[T-norm Selection for Object Detection in Autonomous Driving with Logical Constraints ↗](https://doi.org/10.52202/085713-2907)**Thomas Eiter, Katsumi Inoue, Nelson Higuera et al.
5299. **[T2V-OptJail: Discrete Prompt Optimization for Text-to-Video Jailbreak Attacks ↗](https://doi.org/10.52202/085713-2472)**Jiayang Liu, Siyuan Liang, Shiqian Zhao et al.
5300. **[TADA: Improved Diffusion Sampling with Training-free Augmented DynAmics ↗](https://doi.org/10.52202/085713-3911)**Tianrong Chen, Huangjie Zheng, David Berthelot et al.

[← prev](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/52/) [1](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/) … [50](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/50/) [51](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/51/) [52](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/52/) **53** [54](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/54/) … [59](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/59/) [next →](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/54/)

- [← back to](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/) — NeurIPS 2025
