Deep Delay Autoencoders Discover Dynamical Systems w Latent Variables: Deep Learning meets Dynamics! Published 2022-02-25 Download video MP4 360p Recommendations 19:10 Discrepancy Modeling with Physics Informed Machine Learning 45:38 Data-driven model discovery: Targeted use of deep neural networks for physics and engineering 26:56 Deep Learning to Discover Coordinates for Dynamics: Autoencoders & Physics Informed Machine Learning 17:53 The Anatomy of a Dynamical System 24:06 Sparse Identification of Nonlinear Dynamics (SINDy): Sparse Machine Learning Models 5 Years Later! 18:40 But what is a neural network? | Chapter 1, Deep learning 13:54 Introduction To Autoencoders In Machine Learning. 12:37 Nonlinear Dynamics: Delay Coordinate Embedding 15:05 Variational Autoencoders 12:17 PySINDy: A Python Library for Model Discovery 25:28 Watching Neural Networks Learn 40:08 The Most Important Algorithm in Machine Learning 1:17:38 Steve Brunton: "Dynamical Systems (Part 1/2)" 10:06 Monte Carlo Simulation 06:10 Training an AutoEncoder On Random Data 54:01 Chethan Pandarinath : Latent variable modeling of neural population dynamics - where do we go f... 17:38 The moment we stopped understanding AI [AlexNet] 12:44 PySINDy tutorial 1: overview of PySINDy for sparse system identification Similar videos 24:31 Deep Learning of Dynamics and Coordinates with SINDy Autoencoders 23:53 Dissipative Deep Neural Dynamical Systems 12:09 Robust Model Discovery with Ensemble Learning and SINDy (applications to active learning & control) 38:28 Sparse Nonlinear Models for Fluid Dynamics with Machine Learning and Optimization 41:01 "Incorporating dynamical system and control structure into neural networks " by Zico Kolter 03:23 Data Science & Machine Learning: State-Space Models vs RNNs 19:40 Sparse Nonlinear Dynamics Models with SINDy, Part 3: Effective Coordinates for Parsimonious Models More results