Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Association
机构 * MIT LIDS（麻省理工学院LIDS）
Comments The first two authors contributed equally; 39 pages, 14 figures
Journal ref NeurIPS 2025
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
Mitigating Sexual Content Generation via Embedding Distortion in Text-conditioned Diffusion Models
机构 * Department of Artificial Intelligence（人工智能系） ； Kyungpook National University（全北国立大学）
Comments NeurIPS 2025 accepted. Official code: https://github.com/amoeba04/des
GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New Insights
机构 * Emory University（埃默里大学） ； Google Deepmind（谷歌DeepMind）
Comments 30 pages, Accepted by NeurIPS 2025 Datasets & Benchmarks Track
Reconstruction and Secrecy under Approximate Distance Queries
机构 * Departments of Mathematics, Computer Science, and Data and Decision Sciences, Technion and Google Research（技术学院数学、计算机科学和数据与决策科学系，以及谷歌研究） ； Departments of Mathematics, Technion（技术学院数学系）
Comments 39 pages. Conference version: NeurIPS 2025 (Spotlight). Extended appendix included
Vocabulary In-Context Learning in Transformers: Benefits of Positional Encoding
机构 * School of Mathematical Sciences, Beijing Normal University（北京师范大学数学学院）
Comments Accepted as NIPS 2025 poster
Decomate: Leveraging Generative Models for Co-Creative SVG Animation
机构 * MODULABS
Comments Accepted at the 1st Workshop on Generative and Protective AI for Content Creation (NeurIPS 2025)
Scene-Aware Urban Design: A Human-AI Recommendation Framework Using Co-Occurrence Embeddings and Vision-Language Models
机构 * Department of Architecture（建筑系） ； Department of EECS（电子工程与计算机科学系） ； Massachusetts Institute of Technology（麻省理工学院）
Comments Accepted to NEURIPS 2025 Creative AI Track
Approximating Shapley Explanations in Reinforcement Learning
机构 * University of Bath（巴斯大学）
Comments Camera-ready version. Published at the Conference on Neural Information Processing Systems (NeurIPS 2025)
Journal ref Proceedings of the Conference on Neural Information Processing Systems (NeurIPS 2025)
Visual Exploration of Feature Relationships in Sparse Autoencoders with Curated Concepts
机构 * University of Utah（犹他大学） ； Lawrence Livermore National Laboratory（劳伦斯利弗莫尔国家实验室）
Comments 8 pages (5 main paper+3 refernce), 2 figures, pulished at Mechanistic Interpretability Workshop at NeurIPS 2025
Who Gets Heard? Rethinking Fairness in AI for Music Systems
机构 * MBZUAI, UAE（MBZUAI，阿联酋） ； Zayed University, UAE（扎耶德大学，阿联酋） ； Microsoft, India（微软，印度） ； University of Edinburgh, UK（爱丁堡大学，英国）
Comments 7 pages, Accepted at NeurIPS'25 workshop on AI for Music
Interaction-Centric Knowledge Infusion and Transfer for Open-Vocabulary Scene Graph Generation
机构 * HKUST（香港科技大学） ； AI Chip Center for Emerging Smart Systems（新兴智能系统人工智能芯片中心） ； Tencent（腾讯）
Comments Accepted by NeurIPS 2025
Near-Exponential Savings for Mean Estimation with Active Learning
机构 * University of California, Berkeley（加州大学伯克利分校） ； Stanford Law School（斯坦福法学院） ； World Bank Group（世界银行集团） ； University of Chicago（芝加哥大学） ； Stanford University（斯坦福大学）
Comments Accepted to the 39th Conference on Neural Information Processing Systems (NeurIPS 2025)
VMDT: Decoding the Trustworthiness of Video Foundation Models
机构 * University of California, Berkeley（加州大学伯克利分校） ； University of California, Santa Cruz（加州大学圣克ruz分校） ； University of Illinois at Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； University of Chicago（芝加哥大学） ； Amazon（亚马逊） ； Information Commissioner’s Office（信息专员办公室）
Comments NeurIPS 2025 Datasets & Benchmarks
Physics-Guided Machine Learning for Uncertainty Quantification in Turbulence Models
机构 * Department of Mechanical and Materials Engineering, Queen’s University（皇后大学机械与材料工程系） ； Institute of Mechanics, Chinese Academy of Sciences（中国科学院力学研究所）
Comments Accepted to NeurIPS 2025 Workshop on Machine Learning and the Physical Sciences (ML4PS), non-archival
Grounding Foundational Vision Models with 3D Human Poses for Robust Action Recognition
机构 * Arizona State University（亚利桑那州立大学） ； Emory University（埃默里大学） ； University of California, Berkeley（加州大学伯克利分校） ； Delft University of Technology（代尔夫特理工大学） ； Algoverse AI Research（Algoverse AI 研究）
Comments Accepted at NeurIPS 2025 SpaVLE, for code see https://github.com/nbabey20/groundactrec , 9 pages, 1 figure
Frequency Matters: When Time Series Foundation Models Fail Under Spectral Shift
机构 * King AI Labs, Microsoft Gaming（King AI实验室，微软游戏） ； KTH Royal Institute of Technology（皇家理工学院） ； Kreditz AB（Kreditz公司） ； Fever Energy（Fever能源）
Comments Accepted and presented at NeurIPS 2025 Workshop on Recent Advances in Time Series Foundation Models (BERT2S)
Personalized Image Editing in Text-to-Image Diffusion Models via Collaborative Direct Preference Optimization
机构 * Virginia Tech（弗吉尼亚理工大学）
Comments Published at NeurIPS'25 Main Conference
Walking the Schrödinger Bridge: A Direct Trajectory for Text-to-3D Generation
机构 * Zhejiang University（浙江大学） ； University of Western Australia（西澳大学）
Comments NeurIPS 2025; https://github.com/emmaleee789/TraCe.git
AutoHood3D: A Multi-Modal Benchmark for Automotive Hood Design and Fluid-Structure Interaction
机构 * University of Michigan Ann Arbor（密歇根大学安娜堡分校） ； Ford Research and Innovation Center（福特研究与创新中心）
Journal ref 39th Conference on Neural Information Processing Systems (NeurIPS 2025)
GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning
机构 * SKLCCSE, School of Computer Science and Engineering, Beihang University（北京航空航天大学信息与电子技术学院） ； Key Lab of Education Blockchain and Intelligent Technology, Guangxi Normal University（广西师范大学教育区块链与智能技术重点实验室） ； School of Computing, National University of Singapore（新加坡国立大学计算机学院） ； Department of Computer Science, University of Illinois, Chicago（伊利诺伊大学芝加哥分校计算机科学系）
Comments Accepted by the NeurIPS 2025
SMAGDi: Socratic Multi Agent Interaction Graph Distillation for Efficient High Accuracy Reasoning
机构 * Algoverse AI Research（Algoverse AI研究）
Comments Multi-Turn Interactions in Large Language Models (MTI-LLM) Workshop at NeurIPS 2025
Emergency Response Measures for Catastrophic AI Risk
Comments Accepted to the Workshop on Regulatable ML at the 39th Conference on Neural Information Processing Systems (NeurIPS 2025)
EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment
机构 * Arizona State University（亚利桑那州立大学） ； Capital One（Capital One公司） ； Oracle（Oracle公司） ； Soongsil University（顺天大学）
Comments NeurIPS'25 Spotlight | Project page: https://eraseflow.github.io/
GraphChain: Large Language Models for Large-scale Graph Analysis via Tool Chaining
机构 * Renmin University of China（中国人民大学） ； Guangxi University（广西大学） ； Beijing Jiaotong University（北京交通大学）
Comments Accepted by NeurIPS 2025
From Generation to Attribution: Music AI Agent Architectures for the Post-Streaming Era
Comments Accepted to the NeurIPS 2025 AI4Music Workshop
Hallucination as an Upper Bound: A New Perspective on Text-to-Image Evaluation
机构 * Department of Computer Engineering, Sharif University of Technology（谢里夫理工大学计算机工程系）
Comments Accepted at GenProCC NeurIPS 2025 Workshop
Evaluating the Evaluators: Metrics for Compositional Text-to-Image Generation
机构 * Department of Computer Engineering, Sharif University of Technology（谢里夫理工大学计算机工程系）
Comments Accepted at GenProCC NeurIPS 2025 Workshop
PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation
机构 * University of Pennsylvania（宾夕法尼亚大学） ； HKU（香港大学） ； HKUST（香港科技大学）
Comments NeurIPS 2025 Camera Ready Version
DevFD: Developmental Face Forgery Detection by Learning Shared and Orthogonal LoRA Subspaces
机构 * School of Artificial Intelligence, University of Chinese Academy of Sciences（中国科学院大学人工智能学院） ； MAIS, Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所MAIS部门） ； China Mobile Financial Technology Co., Ltd.（中国移动金融科技有限公司） ； CAIR, HKSIS, Chinese Academy of Sciences（中国科学院CAIR部门，香港创新技术研究所） ； School of Computer Science and Engineering, the Faculty of Innovation Engineering, M.U.S.T（澳门科技大学计算机科学与工程学院，创新工程学院）
Comments Accepted by NeurIPS 2025
Tree-Guided Diffusion Planner
机构 * Department of Computer Science & Engineering（计算机科学与工程系） ； Interdisciplinary Program of AI（人工智能跨学科项目）
Comments NeurIPS 2025
