漂浮 发表于 2025-3-30 08:52:11

http://reply.papertrans.cn/39/3837/383614/383614_51.png

headlong 发表于 2025-3-30 15:39:18

Teresa S. M. Tsang,Larry J. Sinak,Jae K. Ohn within the levels of description, that is also to be recognized. This is how Poisson geometry enters machine learning. Learning to handle free surface liquids and damped rigid body rotation serves as an illustration.

Disk199 发表于 2025-3-30 17:53:13

http://reply.papertrans.cn/39/3837/383614/383614_53.png

myocardium 发表于 2025-3-31 00:21:44

http://reply.papertrans.cn/39/3837/383614/383614_54.png

争吵加 发表于 2025-3-31 04:25:14

Souriau-Casimir Lie Groups Thermodynamics and Machine Learningteristic function, dual of Entropy by Legendre transform, as a generalized Casimir invariant function in adjoint representation, where Souriau cocycle is a measure of the lack of equivariance of the moment mapping. The dual space of the Lie algebra foliates into coadjoint orbits that are also the le
页: 1 2 3 4 5 [6]
查看完整版本: Titlebook: Geometric Structures of Statistical Physics, Information Geometry, and Learning; SPIGL‘20, Les Houche Frédéric Barbaresco,Frank Nielsen Con