Solving Schrödinger bridges via maximum likelihood

Vargas, F., Thodoroff, P., Lamacraft, A. et al. (1 more author) (2021) Solving Schrödinger bridges via maximum likelihood. Entropy, 23 (9). 1134.

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 The Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Keywords: Schrödinger bridges; machine learning; stochastic control
Dates:
  • Accepted: 23 August 2021
  • Published (online): 31 August 2021
  • Published: 31 August 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
Alan Turing InstituteN/A
Depositing User: Symplectic Sheffield
Date Deposited: 17 Nov 2021 07:23
Last Modified: 17 Nov 2021 07:23
Status: Published
Publisher: MDPI AG
Refereed: Yes
Identification Number: https://doi.org/10.3390/e23091134

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