球面谱扩散模型

一篇题为《球面上的谱扩散模型》的论文近日在arXiv预印本平台发布。该研究由Francesco Mari等人完成，提出了一种专门针对球面数据的扩散概率模型。传统扩散模型通常定义在欧几里得空间，而球面数据在天文学、地球物理学和计算机图形学等领域广泛存在。论文通过谱方法在球面上定义前向扩散和反向生成过程，实现了对球面数据的有效建模。实验表明，该模型在地球科学和宇宙学数据集上取得了优于现有方法的生成质量。这一工作为球面数据的生成建模提供了新的技术路径。 #扩散模型 #球面数据 #谱方法 #arXiv #机器学习 #天文学 #地球科学 #生成模型

宽二次神经网络中梯度流的高维分析

该论文题为《》，由Simon Martin等人撰写，作为预印本发布于arXiv平台。研究聚焦于高维极限下二次神经网络的梯度流动力学，通过理论分析探讨了网络宽度趋于无穷时的训练行为与收敛性质。论文涉及数学、统计物理与机器学习交叉领域，为理解深度神经网络的理论基础提供了新的分析工具。 #arXiv #神经网络 #梯度流 #高维分析 #机器学习 #理论 #深度学习

网络动力学框架助力理解深度神经网络

一项最新研究提出了基于网络动力学的框架，用于深入理解深度神经网络的工作机制。该论文由Yuchen Lin等四位作者合作完成，即将发表于《中国科学：物理学 力学 天文学》（Sci. China Phys. Mech. Astron.）第69卷，文章编号270511（2026年）。论文自2025年1月起在arXiv预印本平台提交，历经多个版本修订，最终版本于2026年7月上传。该研究为解释深度神经网络的复杂行为提供了新的理论视角，有望推动人工智能基础理论的发展。 #网络动力学 #深度神经网络 #AI基础研究 #arXiv #中国科学 #物理学 #力学 #天文学 #神经网络解释

Approximate full conformal prediction in an RKHS

Focus to learn more arXiv-issued DOI via DataCite Submission history From: Davidson Lova Razafindrakoto [ view email ] [v1] Mon, 19 Jan 2026 14:40:49 UTC (639 KB) [v2] Sat, 24 Jan 2026 13:51:10 UTC (689 KB) [v3] Wed, 8 Jul 2026 08:19:49 UTC (689 KB) Full-text links: Access Paper: View a PDF of the paper titled Approximate full conformal prediction in an RKHS, by Davidson Lova Razafindrakoto and 1 other authors View PDF HTML (experimental) TeX Source view license Current browse context: < prev | next > new | recent | 2026-01 Change to browse by: cs math stat References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer

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Diffusion Models in Simulation-Based Inference

Focus to learn more arXiv-issued DOI via DataCite Submission history From: Jonas Arruda [ view email ] [v1] Mon, 22 Dec 2025 15:10:35 UTC (8,821 KB) [v2] Thu, 29 Jan 2026 14:33:29 UTC (8,870 KB) [v3] Wed, 8 Jul 2026 15:20:55 UTC (9,510 KB) Full-text links: Access Paper: View a PDF of the paper titled Diffusion Models in Simulation-Based Inference: A Tutorial Review, by Jonas Arruda and Niels Bracher and Ullrich K\"othe and Jan Hasenauer and Stefan T. Radev View PDF HTML (experimental) TeX Source view license Current browse context: < prev | next > new | recent | 2025-12 Change to browse by: cs stat References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliog

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Fast segmentation of watermarked texts from large language models through an epidemic change

Focus to learn more arXiv-issued DOI via DataCite Submission history From: Subhrajyoty Roy [ view email ] [v1] Thu, 25 Sep 2025 13:44:34 UTC (768 KB) [v2] Wed, 8 Jul 2026 16:16:06 UTC (2,347 KB) Full-text links: Access Paper: View a PDF of the paper titled Fast segmentation of watermarked texts from large language models through an epidemic change-point framework, by Soham Bonnerjee and 1 other authors View PDF TeX Source view license Current browse context: < prev | next > new | recent | 2025-09 Change to browse by: cs stat References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliograph

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Optimal Conformal Prediction under Epistemic Uncertainty

Focus to learn more arXiv-issued DOI via DataCite Submission history From: Alireza Javanmardi [ view email ] [v1] Sun, 25 May 2025 08:32:44 UTC (110 KB) [v2] Wed, 8 Jul 2026 13:19:58 UTC (328 KB) Full-text links: Access Paper: View a PDF of the paper titled Optimal Conformal Prediction under Epistemic Uncertainty, by Alireza Javanmardi and 5 other authors View PDF HTML (experimental) TeX Source view license Current browse context: < prev | next > new | recent | 2025-05 Change to browse by: cs stat References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Co

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Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer

Focus to learn more arXiv-issued DOI via DataCite Submission history From: Haotian Lin [ view email ] [v1] Sat, 18 Jan 2025 20:33:37 UTC (234 KB) [v2] Tue, 7 Jul 2026 22:00:00 UTC (156 KB) Full-text links: Access Paper: View a PDF of the paper titled Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer, by Haotian Lin and 1 other authors View PDF HTML (experimental) TeX Source view license Current browse context: < prev | next > new | recent | 2025-01 Change to browse by: cs stat References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliogra

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Avoiding unsafe sets when training with Langevin Dynamics

Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Adam Oberman [ view email ] [v1] Wed, 8 Jul 2026 15:36:45 UTC (184 KB) Full-text links: Access Paper: View a PDF of the paper titled Avoiding unsafe sets when training with Langevin Dynamics, by Adam M. Oberman View PDF HTML (experimental) TeX Source view license Current browse context: < prev | next > new | recent | 2026-07 Change to browse by: cs math stat References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers?

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Fast Rates for Semi-Supervised Learning via Data-Augmentation Graph Regularization

Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Adam Oberman [ view email ] [v1] Wed, 8 Jul 2026 15:11:21 UTC (76 KB) Full-text links: Access Paper: View a PDF of the paper titled Fast Rates for Semi-Supervised Learning via Data-Augmentation Graph Regularization, by Adam M. Oberman View PDF HTML (experimental) TeX Source view license Current browse context: < prev | next > new | recent | 2026-07 Change to browse by: cs math stat References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Tog

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The Optimal Sample Complexity of Learning Autoregressive Chain-of

Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Zhiyuan Li [ view email ] [v1] Wed, 8 Jul 2026 13:49:54 UTC (33 KB) Full-text links: Access Paper: View a PDF of the paper titled The Optimal Sample Complexity of Learning Autoregressive Chain-of-Thought, by Zhiyuan Li View PDF HTML (experimental) TeX Source view license Current browse context: < prev | next > new | recent | 2026-07 Change to browse by: cs stat References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connect

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Gauge-Invariant Learnable Spectral Positional Encodings for Directed Graphs via Hermitian Block Krylov Subspaces

Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Jiaqing Xie [ view email ] [v1] Wed, 8 Jul 2026 06:05:54 UTC (57 KB) Full-text links: Access Paper: View a PDF of the paper titled Gauge-Invariant Learnable Spectral Positional Encodings for Directed Graphs via Hermitian Block Krylov Subspaces, by Jiaqing Xie and 1 other authors View PDF HTML (experimental) TeX Source view license Current browse context: < prev | next > new | recent | 2026-07 Change to browse by: cs stat References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle