A Continuous-time Stochastic Gradient Descent Method for Continuous Data

A Continuous-time Stochastic Gradient Descent Method for Continuous Data

7 December 2021

Carola-Bibiane Schönlieb

Papers citing "A Continuous-time Stochastic Gradient Descent Method for Continuous Data"

7 / 7 papers shown

Title
How to beat a Bayesian adversary Zihan Ding Kexin Jin J. Latz Chenguang Liu AAML BDL 43 0 0 11 Jul 2024
Subsampling Error in Stochastic Gradient Langevin Diffusions Kexin Jin Chenguang Liu J. Latz 33 0 0 23 May 2023
Can Physics-Informed Neural Networks beat the Finite Element Method? T. G. Grossmann U. J. Komorowska J. Latz Carola-Bibiane Schönlieb PINN AI4CE 23 86 0 08 Feb 2023
Losing momentum in continuous-time stochastic optimisation Kexin Jin J. Latz Chenguang Liu Alessandro Scagliotti 11 2 0 08 Sep 2022
A Forward Propagation Algorithm for Online Optimization of Nonlinear Stochastic Differential Equations Ziheng Wang Justin A. Sirignano 64 3 0 10 Jul 2022
Gradient flows and randomised thresholding: sparse inversion and classification J. Latz 12 2 0 22 Mar 2022
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 226 2,287 0 18 Oct 2020