31:53Aleksandr Aravkin - Algorithms for Nonsmooth, Nonconvex Problems in Data-Driven Discovery
A 32-minute video from Physics Informed Machine Learning: “Aleksandr Aravkin - Algorithms for Nonsmooth, Nonconvex Problems in Data-Driven Discovery”.
Physics Informed Machine Learning
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31:53
30:10Alex Gorodetsky - Scalable Learning of Dynamical Systems
A 30-minute video from Physics Informed Machine Learning: “Alex Gorodetsky - Scalable Learning of Dynamical Systems”.
34:51Benjamin Erichson - Shallow Learning for Flow Reconstruction with Limited Sensors and Limited Data
A 35-minute video from Physics Informed Machine Learning: “Benjamin Erichson - Shallow Learning for Flow Reconstruction with Limited Sensors and Limited Data”.
30:41Benjamin Peherstorfer - Data generation for learning reduced models with operator inference
A 31-minute video from Physics Informed Machine Learning: “Benjamin Peherstorfer - Data generation for learning reduced models with operator inference”.
1:09:31Charbel Farhat - Probabilistic Physics-Based Machine Learning for Digital Twins
A 70-minute video from Physics Informed Machine Learning: “Charbel Farhat - Probabilistic Physics-Based Machine Learning for Digital Twins”.
1:11:13Emily Fox - Flexibility, Interpretability, and Scalability in Time Series Modeling
A 71-minute video from Physics Informed Machine Learning: “Emily Fox - Flexibility, Interpretability, and Scalability in Time Series Modeling”.
56:50Karthik Duraisamy - Physics constrained probabilistic learning of Koopman decompositions
A 57-minute video from Physics Informed Machine Learning: “Karthik Duraisamy - Physics constrained probabilistic learning of Koopman decompositions”.
27:32Kathleen Champion - Data-driven discovery of coordinates and governing equations
A 28-minute video from Physics Informed Machine Learning: “Kathleen Champion - Data-driven discovery of coordinates and governing equations”.
33:52Kevin Carlberg - Breaking Komolgorov-Width Barriers using Deep Learning
A 34-minute video from Physics Informed Machine Learning: “Kevin Carlberg - Breaking Komolgorov-Width Barriers using Deep Learning”.
40:20Michael Brenner - Machine Learning for Partial Differential Equations
A 40-minute video from Physics Informed Machine Learning: “Michael Brenner - Machine Learning for Partial Differential Equations”.
1:15:15Michael Mahoney - Why Deep Learning Works
A 75-minute video from Physics Informed Machine Learning: “Michael Mahoney - Why Deep Learning Works”.
30:44Paris Perdikaris - Data-driven modeling of stochastic systems using physics-aware deep learning
A 31-minute video from Physics Informed Machine Learning: “Paris Perdikaris - Data-driven modeling of stochastic systems using physics-aware deep learning”.
32:45Steve Brunton - Discovering interpretable and generalizable dynamical systems from data
A 33-minute video from Physics Informed Machine Learning: “Steve Brunton - Discovering interpretable and generalizable dynamical systems from data”.