Gradient Flow Algorithms for Density Propagation in Stochastic Systems

v1v2 (latest)

Gradient Flow Algorithms for Density Propagation in Stochastic Systems

1 August 2019

Kenneth F. Caluya

ArXiv (abs)PDF HTML

Papers citing "Gradient Flow Algorithms for Density Propagation in Stochastic Systems"

8 / 8 papers shown

Title
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference Dai Hai Nguyen Tetsuya Sakurai Hiroshi Mamitsuka 139 2 0 25 Oct 2023
Optimal Mass Transport over the Euler Equation Charlie Yan Iman Nodozi A. Halder OT 98 1 0 02 Apr 2023
Proximal Mean Field Learning in Shallow Neural Networks Alexis M. H. Teter Iman Nodozi A. Halder FedML 77 1 0 25 Oct 2022
A Distributed Algorithm for Measure-valued Optimization with Additive Objective Iman Nodozi A. Halder 68 1 0 17 Feb 2022
On the Hyperparameters in Stochastic Gradient Descent with Momentum Bin Shi 108 14 0 09 Aug 2021
On Learning Rates and Schrödinger Operators Bin Shi Weijie J. Su Michael I. Jordan 90 61 0 15 Apr 2020
Stable Neural Flows Stefano Massaroli Michael Poli Michelangelo Bin Jinkyoo Park Atsushi Yamashita Hajime Asama 88 33 0 18 Mar 2020
Hopfield Neural Network Flow: A Geometric Viewpoint A. Halder Kenneth F. Caluya Bertrand Travacca S. Moura 47 10 0 04 Aug 2019