English(EN) A library for differentiable signal processing and machine learning on the sphere

新库支持球体数据上的可微分机器学习

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-02 04:00

研究人员开发了“torch-harmonics”库，该库专为球体数据上的可微分信号处理和机器学习而设计。该工具提供了球谐变换和球卷积等关键方法的有效实现，能够创建先进的球体机器学习架构。该库旨在支持需要处理球体数据的科学和工程应用，例如地球物理学和虚拟现实。 AI

影响通过提供专门的机器学习工具，该库可以加速依赖球体数据分析的领域的研究和开发。

排序理由该集群描述了一个用于球体数据机器学习的新软件库，该库已在 arXiv 论文中发布。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · Thorsten Kurth, Max Rietmann, Mauro Bisson, Andrea Paris, Alberto Carpentieri, Jean Kossaifi, Anima Anandkumar, Christian Hundt, Boris Bonev · 2026-10-02 04:00

球体上可微分信号处理和机器学习的库

arXiv:2609.39737v1 Announce Type: new Abstract: The two-dimensional sphere embedded in three-dimensional Euclidean space S2, plays a central role in a variety of scientific and engineering domains, including geophysics, planetary science, geodesy, atmospheric physics, quantum che…