---
title: "NeurIPS 2025 — all accepted papers, page 30 — Elamur Research"
description: "All 5,819 papers of NeurIPS 2025 · page 30 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/30/"
---
[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/30/)

[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 30

# NeurIPS 2025: all accepted papers

5,819 papers · page 30 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/29/) [1](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/) … [20](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/20/) … [29](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/29/) **30** [31](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/31/) … [40](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/40/) … [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/31/)

2901. **[DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products ↗](https://doi.org/10.52202/085713-5141)**Julien Siems, Timur Carstensen, Arber Zela et al.
2902. **[Delving into Large Language Models for Effective Time-Series Anomaly Detection ↗](https://doi.org/10.52202/085713-3444)**JUN WOO PARK, Kyudan Jung, Dohyun Lee et al.
2903. **[Democratizing Clinical Risk Prediction with Cross-Cohort Cross-Modal Knowledge Transfer ↗](https://doi.org/10.52202/085713-3570)**Qiannan Zhang, Manqi Zhou, Zilong Bai et al.
2904. **[Demystifying Language Model Forgetting with Low-rank Example Associations ↗](https://doi.org/10.52202/085713-0153)**Xisen Jin, Xiang Ren
2905. **[Demystifying Network Foundation Models ↗](https://doi.org/10.52202/085713-4769)**Roman Beltiukov, Satyandra Guthula, Wenbo Guo et al.
2906. **[Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning ↗](https://doi.org/10.52202/085713-0421)**Chen Qian, Dongrui Liu, Haochen Wen et al.
2907. **[Demystifying Spectral Feature Learning for Instrumental Variable Regression ↗](https://doi.org/10.52202/085713-1421)**Dimitri Meunier, Antoine Moulin, Jakub Wornbard et al.
2908. **[Dendritic Resonate-and-Fire Neuron for Effective and Efficient Long Sequence Modeling ↗](https://doi.org/10.52202/085713-3587)**Dehao Zhang, Malu Zhang, Shuai Wang et al.
2909. **[DenoiseRotator: Enhance Pruning Robustness for LLMs via Importance Concentration ↗](https://doi.org/10.52202/085713-2147)**Tianteng Gu, Bei Liu, Bo Xiao et al.
2910. **[Denoising Trajectory Biases for Zero-Shot AI-Generated Image Detection ↗](https://doi.org/10.52202/085713-5101)**Yachao Liang, Min Yu, Gang Li et al.
2911. **[Dense Associative Memory with Epanechnikov Energy ↗](https://doi.org/10.52202/085713-3947)**Benjamin Hoover, Zhaoyang Shi, Krishnakumar Balasubramanian et al.
2912. **[Dense Backpropagation Improves Training for Sparse Mixture-of-Experts ↗](https://doi.org/10.52202/085713-5619)**Ashwinee Panda, Vatsal Baherwani, Zain Sarwar et al.
2913. **[Dense Metric Depth Estimation via Event-based Differential Focus Volume Prompting ↗](https://doi.org/10.52202/085713-0321)**Boyu Li, Peiqi Duan, Zhaojun Huang et al.
2914. **[Dense SAE Latents Are Features, Not Bugs ↗](https://doi.org/10.52202/085713-4686)**Xiaoqing Sun, Alessandro Stolfo, Joshua Engels et al.
2915. **[Density Ratio-Free Doubly Robust Proxy Causal Learning ↗](https://doi.org/10.52202/085713-1992)**Bariscan Bozkurt, Houssam Zenati, Dimitri Meunier et al.
2916. **[Dependency Matters: Enhancing LLM Reasoning with Explicit Knowledge Grounding ↗](https://doi.org/10.52202/085713-1943)**Xiangyu Wen, Min Li, Junhua Huang et al.
2917. **[Dependency Parsing is More Parameter-Efficient with Normalization ↗](https://doi.org/10.52202/085713-4796)**Paolo Gajo, Domenic Rosati, Hassan Sajjad et al.
2918. **[Deployment Efficient Reward-Free Exploration with Linear Function Approximation ↗](https://doi.org/10.52202/085713-0853)**Zihan Zhang, Yuxin Chen, Jason D. Lee et al.
2919. **[Depth-Supervised Fusion Network for Seamless-Free Image Stitching ↗](https://doi.org/10.52202/085713-4339)**Zhiying Jiang, Ruhao Yan, Zengxi Zhang et al.
2920. **[Depth-Width Tradeoffs for Transformers on Graph Tasks ↗](https://doi.org/10.52202/085713-0775)**Gilad Yehudai, Clayton Sanford, Maya Bechler-Speicher et al.
2921. **[DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches ↗](https://doi.org/10.52202/085713-0072)**Yun Xing, Yue Cao, Nhat Chung et al.
2922. **[Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference ↗](https://doi.org/10.52202/085713-3982)**Zichen Wang, Haoyang Hong, Chuanhao Li et al.
2923. **[Detecting Data Deviations in Electronic Health Records ↗](https://doi.org/10.52202/085713-1741)**Kaiping Zheng, Horng‐Ruey Chua, Beng Chin Ooi
2924. **[Detecting High-Stakes Interactions with Activation Probes ↗](https://doi.org/10.52202/085713-4249)**Alex McKenzie, Urja Pawar, Philipp Blandfort et al.
2925. **[DetectiumFire: A Comprehensive Multi-modal Dataset Bridging Vision and Language for Fire Understanding ↗](https://doi.org/10.52202/085713-4742)**Zixuan Liu, Siavash H. Khajavi, Guangkai Jiang
2926. **[Detoxifying Large Language Models via Autoregressive Reward Guided Representation Editing ↗](https://doi.org/10.52202/085713-2427)**Yisong Xiao, Aishan Liu, Siyuan Liang et al.
2927. **[DevFD : Developmental Face Forgery Detection by Learning Shared and Orthogonal LoRA Subspaces ↗](https://doi.org/10.52202/085713-0145)**Tianshuo Zhang, Li Gao, Siran Peng et al.
2928. **[DiCoFlex: Model-Agnostic Diverse Counterfactuals with Flexible Control ↗](https://doi.org/10.52202/085713-2405)**Oleksii Furman, Ulvi Movsum-zada, Patryk Marszałek et al.
2929. **[DiEP: Adaptive Mixture-of-Experts Compression through Differentiable Expert Pruning ↗](https://doi.org/10.52202/085713-1878)**Sikai Bai, H. J. Li, Jie Zhang et al.
2930. **[Diff-ICMH: Harmonizing Machine and Human Vision in Image Compression with Generative Prior ↗](https://doi.org/10.52202/085713-2141)**Ruoyu Feng, Yunpeng Qi, Jinming Liu et al.
2931. **[DiffBreak: Is Diffusion-Based Purification Robust? ↗](https://doi.org/10.52202/085713-0686)**Andre Kassis, Urs Hengartner, Yaoliang Yu
2932. **[DiffLiG: Diffusion-enhanced Liquid Graph with Attention Propagation for Grid-to-Station Precipitation Correction ↗](https://doi.org/10.52202/085713-4997)**Yuxiang Li, Yang Zhang, Li Li et al.
2933. **[Differentiable Constraint-Based Causal Discovery ↗](https://doi.org/10.52202/085713-4325)**Jincheng Zhou, Mengbo Wang, Anqi He et al.
2934. **[Differentiable Cyclic Causal Discovery Under Unmeasured Confounders ↗](https://doi.org/10.52202/085713-5792)**Muralikrishnna G. Sethuraman, Faramarz Fekri
2935. **[Differentiable Decision Tree via "ReLU+Argmin" Reformulation ↗](https://doi.org/10.52202/085713-5563)**Qiangqiang Mao, Jiayang Ren, Yixiu Wang et al.
2936. **[Differentiable Generalized Sliced Wasserstein Plans ↗](https://doi.org/10.52202/085713-5439)**Laëtitia Chapel, Romain Tavenard, Samuel Vaiter
2937. **[Differentiable Hierarchical Visual Tokenization ↗](https://doi.org/10.52202/085713-2930)**Marius Aasan, Martine Hjelkrem-Tan, Nico Catalano et al.
2938. **[Differentiable Structure Learning and Causal Discovery for General Binary Data ↗](https://doi.org/10.52202/085713-2503)**Chang Deng, Bryon Aragam
2939. **[Differentiable extensions with rounding guarantees for combinatorial optimization over permutations ↗](https://doi.org/10.52202/085713-3535)**Robert R. Nerem, Zhishang Luo, Akbar Rafiey et al.
2940. **[Differential Privacy for Euclidean Jordan Algebra with Applications to Private Symmetric Cone Programming ↗](https://doi.org/10.52202/085713-1505)**Zhao Song, Jianfei Xue, Lichen Zhang
2941. **[Differential Privacy on Fully Dynamic Streams ↗](https://doi.org/10.52202/085713-5078)**Yuan Ying Qiu, Ke Yi
2942. **[Differentially Private Bilevel Optimization: Efficient Algorithms with Near-Optimal Rates ↗](https://doi.org/10.52202/085713-0916)**Andrew M. Lowy, Daogao Liu
2943. **[Differentially Private Gomory-Hu Trees ↗](https://doi.org/10.52202/085713-5413)**Anders Aamand, Justin Y. Chen, Mina Dalirrooyfard et al.
2944. **[Differentially Private High-dimensional Variable Selection via Integer Programming ↗](https://doi.org/10.52202/085713-3885)**Petros Prastakos, Kayhan Behdin, Rahul Mazumder
2945. **[Differentially Private Quantiles with Smaller Error ↗](https://doi.org/10.52202/085713-4739)**Jacob Imola, Fabrizio Boninsegna, Hannah Keller et al.
2946. **[Differentially Private Relational Learning with Entity-level Privacy Guarantees ↗](https://doi.org/10.52202/085713-2873)**Yinan Huang, Haoteng Yin, Eli Chien et al.
2947. **[Diffusion Federated Dataset ↗](https://doi.org/10.52202/085713-0095)**SEOKJU HAHN, Junghye Lee
2948. **[Diffusion Generative Modeling on Lie Group Representations ↗](https://doi.org/10.52202/085713-0616)**Marco Bertolini, Tuan Le, Djork-Arné Clevert
2949. **[Diffusion Guided Adversarial State Perturbations in Reinforcement Learning ↗](https://doi.org/10.52202/085713-1460)**Xiaolin Sun, Feidi Liu, Zhengming Ding et al.
2950. **[Diffusion Models Meet Contextual Bandits ↗](https://doi.org/10.52202/085713-5555)**Imad Aouali
2951. **[Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive ↗](https://doi.org/10.52202/085713-4095)**Tyler Farghly, Peter Potaptchik, Samuel Howard et al.
2952. **[Diffusion Network Inference for Cross-layer Cascades ↗](https://doi.org/10.52202/085713-2209)**Siyu Huang, Yubai Yuan, Abdul Basit Adeel
2953. **[Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification ↗](https://doi.org/10.52202/085713-4111)**Ziming Ye, Minshuo Chen
2954. **[Diffusion on Demand: Selective Caching and Modulation for Efficient Generation ↗](https://doi.org/10.52202/085713-5295)**Hee Min Choi, Hyoa Kang, Dokwan Oh et al.
2955. **[Diffusion-Classifier Synergy: Reward-Aligned Learning via Mutual Boosting Loop for FSCIL ↗](https://doi.org/10.52202/085713-2153)**Ruitao Wu, Yifan Zhao, Guangyao Chen et al.
2956. **[Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation ↗](https://doi.org/10.52202/085713-0757)**Jeongin Kim, Wonho Bae, YouLee Han et al.
2957. **[Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis ↗](https://doi.org/10.52202/085713-2718)**Hengyuan Cao, Yutong Feng, Biao Gong et al.
2958. **[Dimension-adapted Momentum Outscales SGD ↗](https://doi.org/10.52202/085713-3767)**Damien Ferbach, Katie Everett, Gauthier Gidel et al.
2959. **[Dimension-free Score Matching and Time Bootstrapping for Diffusion Models ↗](https://doi.org/10.52202/085713-1082)**Syamantak Kumar, Anant Raj, Purnamrita Sarkar
2960. **[Dimensional Collapse in VQVAEs: Evidence and Remedies ↗](https://doi.org/10.52202/085713-5693)**Jiayou Zhang, Yifan Shen, Guangyi Chen et al.
2961. **[Dimensionality Mismatch Between Brains and Artificial Neural Networks ↗](https://doi.org/10.52202/085713-1456)**Santiago Galella, Maren H. Wehrheim, Matthias Kaschube
2962. **[Direct Fisher Score Estimation for Likelihood Maximization ↗](https://doi.org/10.52202/085713-2929)**Sherman Khoo, Yakun Wang, Song Liu et al.
2963. **[Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision Models ↗](https://doi.org/10.52202/085713-4694)**Thanh-Dat Truong, Huu-Thien Tran, Trần Thái Sơn et al.
2964. **[DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained Optimization ↗](https://doi.org/10.52202/085713-1921)**Gang Li, Ming C. Lin, Tomer Galanti et al.
2965. **[Discovering Compositional Hallucinations in LVLMs ↗](https://doi.org/10.52202/085713-0969)**Sibei Yang, Ge Zheng, Jiajin Tang et al.
2966. **[Discovering Data Structures: Nearest Neighbor Search and Beyond ↗](https://doi.org/10.52202/085713-0402)**Omar Salemohamed, Laurent Charlin, Shivam Garg et al.
2967. **[Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation ↗](https://doi.org/10.52202/085713-3493)**Bailey Trang, Parham Saremi, Alan Wang et al.
2968. **[Discovering Opinion Intervals from Conflicts in Signed Graphs ↗](https://doi.org/10.52202/085713-5784)**Peter Blohm, Florian Chen, Aristides Gionis et al.
2969. **[Discovering Symbolic Partial Differential Equation by Abductive Learning ↗](https://doi.org/10.52202/085713-1923)**En-Hao Gao, Cunjing Ge, Yuan Jiang et al.
2970. **[Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees ↗](https://doi.org/10.52202/085713-5517)**Yuchen Liang, Yingbin Liang, Lifeng Lai et al.
2971. **[Discrete Neural Flow Samplers with Locally Equivariant Transformer ↗](https://doi.org/10.52202/085713-4238)**Zijing Ou, Ruixiang Zhang, Yingzhen Li
2972. **[Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling ↗](https://doi.org/10.52202/085713-4216)**Javier E. Santos, Agnese Marcato, Roman Colman et al.
2973. **[Discretization-free Multicalibration through Loss Minimization over Tree Ensembles ↗](https://doi.org/10.52202/085713-4061)**Hongyi Jin, Zijun Ding, Dung Daniel Ngo et al.
2974. **[Disentangled Representation Learning via Modular Compositional Bias ↗](https://doi.org/10.52202/085713-4500)**Whie Jung, Dong Hoon Lee, Seunghoon Hong
2975. **[Disentanglement Beyond Static vs. Dynamic: A Benchmark and Evaluation Framework for Multi-Factor Sequential Representations ↗](https://doi.org/10.52202/085713-4223)**Tal Barami, Nimrod Berman, Ilan Naiman et al.
2976. **[Disentangling Hyperedges through the Lens of Category Theory ↗](https://doi.org/10.52202/085713-1232)**Yoonho Lee, Junseok Lee, Sang Won Seo et al.
2977. **[Disentangling Latent Shifts of In-Context Learning with Weak Supervision ↗](https://doi.org/10.52202/085713-4828)**Josip Jukić, Jan Šnajder
2978. **[Disentangling misreporting from genuine adaptation in strategic settings: a causal approach ↗](https://doi.org/10.52202/085713-3843)**Dylan Zapzalka, Trenton Chang, Lindsay Warrenburg et al.
2979. **[Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search ↗](https://doi.org/10.52202/085713-3346)**Yousef Al-Jazzazi, Haya Diwan, Jinrui Gou et al.
2980. **[Distances for Markov chains from sample streams ↗](https://doi.org/10.52202/085713-4493)**Sergio Calo, Anders Jönsson, Gergely Neu et al.
2981. **[Distil-E2D: Distilling Image-to-Depth Priors for Event-Based Monocular Depth Estimation ↗](https://doi.org/10.52202/085713-4192)**Jie Long Lee, Gim Hee Lee
2982. **[Distilling LLM Prior to Flow Model for Generalizable Agent’s Imagination in Object Goal Navigation ↗](https://doi.org/10.52202/085713-4439)**Badi Li, Ren-Jie Lu, Yu Zhou et al.
2983. **[Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences? ↗](https://doi.org/10.52202/085713-0876)**Paul Gölz, Nika Haghtalab, Kunhe Yang
2984. **[Distributed Multi-Agent Bandits Over Erdős-Rényi Random Networks ↗](https://doi.org/10.52202/085713-5340)**Jingyuan Liu, Hao Qiu, Lin Yang et al.
2985. **[Distributed mediation analysis with communication efficiency ↗](https://doi.org/10.52202/085713-4736)**Shaomin Li
2986. **[Distribution Learning Meets Graph Structure Sampling ↗](https://doi.org/10.52202/085713-0722)**Arnab Bhattacharyya, Sutanu Gayen, Philips George John et al.
2987. **[Distribution-Aligned Decoding for Efficient LLM Task Adaptation ↗](https://doi.org/10.52202/085713-1880)**Senkang Hu, Xudong Han, Jinqi Jiang et al.
2988. **[Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks ↗](https://doi.org/10.52202/085713-2942)**Alper Kalle, Théo Rudkiewicz, Mohamed Ouerfelli et al.
2989. **[Distributional Adversarial Attacks and Training in Deep Hedging ↗](https://doi.org/10.52202/085713-4392)**Guangyi He, Tobias Sutter, Lukas Gonon
2990. **[Distributional Autoencoders Know the Score ↗](https://doi.org/10.52202/085713-3770)**Andrej Leban
2991. **[Distributional LLM-as-a-Judge ↗](https://doi.org/10.52202/085713-1008)**Luyu Chen, Zeyu Zhang, Haoran Tan et al.
2992. **[Distributional Training Data Attribution: What do Influence Functions Sample? ↗](https://doi.org/10.52202/085713-0339)**Bruno Mlodozeniec, Isaac Reid, Sam Power et al.
2993. **[Distributionally Robust Feature Selection ↗](https://doi.org/10.52202/085713-2117)**Maitreyi Swaroop, Tamar Krishnamurti, Bryan Wilder
2994. **[Distributive Fairness in Large Language Models: Evaluating Alignment with Human Values ↗](https://doi.org/10.52202/085713-2898)**Hadi Hosseini, Samarth Khanna
2995. **[Diverse Influence Component Analysis: A Geometric Approach to Nonlinear Mixture Identifiability ↗](https://doi.org/10.52202/085713-2633)**Hoang Son Nguyen, Xiao Fu
2996. **[Diversifying Parallel Ergodic Search: A Signature Kernel Evolution Strategy ↗](https://doi.org/10.52202/085713-2482)**Sreevardhan Sirigiri, Christian Hughes, Ian Abraham et al.
2997. **[Diversity Is All You Need for Contrastive Learning: Spectral Bounds on Gradient Magnitudes ↗](https://doi.org/10.52202/085713-5662)**Peter Juma Ochieng
2998. **[Diversity-oriented Deep Multi-modal Clustering ↗](https://doi.org/10.52202/085713-3612)**Yanzheng Wang, Xin Yang, Yujun Wang et al.
2999. **[Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness ↗](https://doi.org/10.52202/085713-3113)**Rongzhe Wei, Peizhi Niu, Hans Hao-Hsun Hsu et al.
3000. **[Do LVLMs Truly Understand Video Anomalies? Revealing Hallucination via Co-Occurrence Patterns ↗](https://doi.org/10.52202/085713-3560)**Menghao Zhang, Huazheng Wang, Pengfei Ren et al.

[← prev](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/29/) [1](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/) … [20](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/20/) … [29](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/29/) **30** [31](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/31/) … [40](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/40/) … [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/31/)

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