Data-driven model discovery: Targeted use of deep neural networks for physics and engineering Published 2021-01-18 Download video MP4 360p Recommendations 1:09:56 Data Driven Discovery of Dynamical Systems and PDEs 24:37 Neural ODEs (NODEs) [Physics Informed Machine Learning] 40:37 Model Discovery for Dynamical Systems 40:08 The Most Important Algorithm in Machine Learning 43:27 AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning] 50:05 Koopman Theory + Embeddings 1:00:22 Nathan Kutz: The Future of Governing Equations 26:56 Deep Learning to Discover Coordinates for Dynamics: Autoencoders & Physics Informed Machine Learning 18:59 Neural Network & Dynamics 10:39 Liquid Neural Networks, A New Idea That Allows AI To Learn Even After Training 1:51:35 NeurIPS 2020 Tutorial: Deep Implicit Layers 57:24 Terence Tao at IMO 2024: AI and Mathematics 1:10:36 Physics-Informed Neural Networks (PINNs) - An Introduction - Ben Moseley | Jousef Murad 51:22 Rethinking Physics Informed Neural Networks [NeurIPS'21] 51:40 A Hands-on Introduction to Physics-informed Machine Learning 25:28 Watching Neural Networks Learn 15:45 How SpaceX Reinvented The Rocket Engine! 1:08:39 "Physics-Based and Data-Driven-Based Algorithms for the Simulation of the Heart Function" Similar videos 53:35 J. Nathan Kutz (University of Washington): Data-driven model discovery and physics-informed learning 52:10 J. Nathan Kutz: "Coordinates, governing equations and limits of model discovery" 1:00:37 Benjamin Peherstorfer - Physics-based machine learning for quickly simulating transport-dominated... 10:36 New Book!!! Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control 38:39 Data-Driven Modeling of Dynamical Systems 1:12:52 Nathan Kutz:"Data-driven Discovery of Governing Physical Laws" 03:43 [Part 1] Physics-driven vs Data-driven models 47:27 Physics Informed Machine Learning: High Level Overview of AI and ML in Science and Engineering 27:32 Kathleen Champion - Data-driven discovery of coordinates and governing equations 48:22 NCSU Nuclear Seminar: Machine Learning Frameworks for Data-Driven Thermal Fluid Models 1:33:35 Bethany Lusch - Data-driven discovery of coordinates and equations More results