A Principle of Least Action for the Training of Neural Networks

17 September 2020

Papers citing "A Principle of Least Action for the Training of Neural Networks"

5 / 5 papers shown

Title
Block-wise Training of Residual Networks via the Minimizing Movement Scheme Skander Karkar Ibrahim Ayed Emmanuel de Bézenac Patrick Gallinari 27 1 0 03 Oct 2022
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows G. Morel Lucas Drumetz Simon Benaïchouche Nicolas Courty F. Rousseau OT 28 6 0 22 Sep 2022
Mapping conditional distributions for domain adaptation under generalized target shift Matthieu Kirchmeyer A. Rakotomamonjy Emmanuel de Bézenac Patrick Gallinari OOD 12 22 0 26 Oct 2021
Adaptable Hamiltonian neural networks Chen-Di Han Bryan Glaz Mulugeta Haile Y. Lai AI4TS 14 25 0 25 Feb 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,216 0 16 Nov 2016