Rethinking Physics Informed Neural Networks [NeurIPS'21] Published 2021-10-29 Download video MP4 360p Recommendations 43:27 AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning] 58:12 MIT Introduction to Deep Learning | 6.S191 1:05:33 Fourier Neural Operator for Parametric Partial Differential Equations (Paper Explained) 1:10:36 Physics-Informed Neural Networks (PINNs) - An Introduction - Ben Moseley | Jousef Murad 26:56 Deep Learning to Discover Coordinates for Dynamics: Autoencoders & Physics Informed Machine Learning 55:55 Miles Cranmer - The Next Great Scientific Theory is Hiding Inside a Neural Network (April 3, 2024) 25:28 Watching Neural Networks Learn 45:38 Data-driven model discovery: Targeted use of deep neural networks for physics and engineering 47:27 Physics Informed Machine Learning: High Level Overview of AI and ML in Science and Engineering 1:49:11 WE MUST ADD STRUCTURE TO DEEP LEARNING BECAUSE... 58:12 DeepOnet: Learning nonlinear operators based on the universal approximation theorem of operators. 21:04 How Can Physics Inform Deep Learning Methods - Anuj Karpatne 05:06 Teaching Neural Network to Solve Navier-Stokes Equations 13:00 Liquid Neural Networks | Ramin Hasani | TEDxMIT 19:10 Discrepancy Modeling with Physics Informed Machine Learning 1:18:53 George Karniadakis - From PINNs to DeepOnets 19:14 A Neural Network Primer 2:06:38 This is why Deep Learning is really weird. 58:32 Frank Noe - Advancing molecular simulation with deep learning - IPAM at UCLA Similar videos 18:00 Physics-informed neural networks for fluid mechanics 11:43 Scientific Machine Learning: Physics-Informed Neural Networks with Craig Gin 1:32:53 ETH Zürich DLSC: Physics-Informed Neural Networks - Applications 08:31 How Do Physics-Informed Neural Networks Work? 03:19 What Are Physics Informed Neural Networks (PINNs) ? 05:04 Physics-Informed Neural Networks | Misconceptions 43:36 Physics-Informed Neural Networks in Julia 34:32 Physics Informed Neural Networks (PINNs) [Physics Informed Machine Learning] 1:38:53 ETH Zürich DLSC: Physics-Informed Neural Networks - Limitations and Extensions 20:10 Physics Informed Neural Networks 20:40 Physics Informed Neural Networks (PINNs): "PyTorch" Solve Physical Systems with Deep Neural Networks 03:33 Physics-Informed Neural Networks (PINNs) - Application Use Cases 1:00:45 Physics-Informed Machine Learning: Blending data and physics for fast predictions More results