Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU
P Kidger, T Lyons - arXiv preprint arXiv:2001.00706, 2020 - arxiv.org
Signatory is a library for calculating and performing functionality related to the signature and
logsignature transforms. The focus is on machine learning, and as such includes features …
logsignature transforms. The focus is on machine learning, and as such includes features …
Directed chain generative adversarial networks
Real-world data can be multimodal distributed, eg, data describing the opinion divergence
in a community, the interspike interval distribution of neurons, and the oscillators natural …
in a community, the interspike interval distribution of neurons, and the oscillators natural …
[图书][B] Topics in Signature, Directed Chain SDEs and Applications in Machine Learning
M Min - 2023 - search.proquest.com
Stochastic analysis, stochastic processes and machine learning of dynamical systems have
depicted strong connection in many aspects. This thesis aims to study such relationship from …
depicted strong connection in many aspects. This thesis aims to study such relationship from …
Imitation Learning for Mean Field Games with Correlated Equilibria
Imitation learning (IL) is a powerful approach for acquiring optimal policies from
demonstrated behaviors. However, applying IL to a large group of agents is arduous due to …
demonstrated behaviors. However, applying IL to a large group of agents is arduous due to …