A Deep Learning Scheme For Solving Fully Nonlinear Pdes With Maxim Bichuch

A Deep Learning Scheme for Solving Fully Nonlinear PDEs with Maxim Bichuch

Society for Industrial and Applied Mathematics (SIAM)

Solving nonlinear PDEs with Gaussian Processes and Deep Neural Network

Texas A&M Institute of Data Science

[SPCL_Bcast] Transferable Deep Learning Surrogates for Solving PDEs

Scalable Parallel Computing Lab, SPCL @ ETH Zurich

Prof. Lars Ruthotto -Numerical Methods for Deep Learning motivated by Partial Differential Equations

GSSI - Gran Sasso Science Institute

Siddhartha Mishra: Deep Learning and Computations of high-dimensional PDEs | IACS Seminar

Harvard Institute for Applied Computational Science

PDE FIND

Deep Learning Approach to Partial Differential Equations | Leah Bar, OriginAI (PyData TLV June22)

Weinan E: "High Dimensional PDEs: Theory and Numerical Algorithms"

Institute for Pure & Applied Mathematics (IPAM)

KDD 2023 - Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations

Association for Computing Machinery (ACM)

MDS20 Minitutorial: Deep Neural Networks for High-Dimensional Parabolic PDEs by Christoph Reisinger

SIAM Conferences

AN20: Partial Differential Equations Meet Deep Learning: Old Solutions for New Problems & Vice Versa

SIAM Conferences

From Deep Neural Networks to Fully Differential Programs | Uri Patish | JuliaCon 2018

The Julia Programming Language

Application 4 - Solution of PDE/ODE using Neural Networks

A deep learning method for solving Fokker-Planck equations

Alex Bihlo: Deep neural networks for solving differential equations on general orientable surface

Centre de recherches mathématiques - CRM