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Physics Informed Machine Learning
Physics Informed Machine Learning
Physics Informed Machine Learning
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This channel hosts videos from workshops at UW on Data-Driven Science and Engineering, and Physics Informed Machine Learning.

databookuw.com
David Bortz - The Surprising Robustness and Computational Efficiency of Weak Form System Identif...
1:02:55
David Bortz - The Surprising Robustness and Computational Efficiency of Weak Form System Identif...
Год назад
Tess Smidt - Symmetry’s made to be broken: Learning how to break symmetry with symmetry-preservin...
1:04:15
Tess Smidt - Symmetry’s made to be broken: Learning how to break symmetry with symmetry-preservin...
Год назад
Daniela Witten - Double dipping: problems and solutions, with application to single-cell RNA-seque..
56:37
Daniela Witten - Double dipping: problems and solutions, with application to single-cell RNA-seque..
Год назад
Melanie Weber - Exploiting Geometric Structure in Machine Learning and Optimization
1:15:57
Melanie Weber - Exploiting Geometric Structure in Machine Learning and Optimization
Год назад
John Wright - Deep Networks and the Multiple Manifold Problem
1:08:19
John Wright - Deep Networks and the Multiple Manifold Problem
Год назад
Jörn Dunkel - Symmetry-informed model inference for active matter
1:06:34
Jörn Dunkel - Symmetry-informed model inference for active matter
2 года назад
Andrew Stuart - Supervised Learning For Operators
1:12:47
Andrew Stuart - Supervised Learning For Operators
2 года назад
Richard Baraniuk - Deep Network Spline Geometry
1:09:15
Richard Baraniuk - Deep Network Spline Geometry
2 года назад
Zhuoyuan Song/June Zhang/Frankie Zhu - Introducing our Colleagues in Hawaii: Updates and Open Challe
49:39
Zhuoyuan Song/June Zhang/Frankie Zhu - Introducing our Colleagues in Hawaii: Updates and Open Challe
2 года назад
Aditya Nair/Floris van Breugel - Leveraging Machine Learning for interaction-based models and contro
35:01
Aditya Nair/Floris van Breugel - Leveraging Machine Learning for interaction-based models and contro
2 года назад
Dominique Zosso - Graph-Based Geometric Data Analysis
30:50
Dominique Zosso - Graph-Based Geometric Data Analysis
2 года назад
Krithika Manohar - Optimal Sensors for Empowering AI
30:01
Krithika Manohar - Optimal Sensors for Empowering AI
2 года назад
John Wright - Recent Directions in Nonconvexity: Landscapes, Methods, Architectures
37:08
John Wright - Recent Directions in Nonconvexity: Landscapes, Methods, Architectures
2 года назад
Hod Lipson - The AI Scientist Automating Discovery, From Cognitive Robotics to Computational Biology
1:13:56
Hod Lipson - The AI Scientist Automating Discovery, From Cognitive Robotics to Computational Biology
2 года назад
Shirley Ho - Interpretable Learning in Physical Systems
56:00
Shirley Ho - Interpretable Learning in Physical Systems
2 года назад
Na Li - Scalable and Safe Learning-based Decision-Making in Dynamical Systems
56:00
Na Li - Scalable and Safe Learning-based Decision-Making in Dynamical Systems
2 года назад
Liliana Borcea - Waveform inversion via reduced order modeling
1:08:22
Liliana Borcea - Waveform inversion via reduced order modeling
2 года назад
Laure Zanna - Data-driven turbulence closures for ocean and climate models: advances and challenges
1:01:37
Laure Zanna - Data-driven turbulence closures for ocean and climate models: advances and challenges
2 года назад
Joan Bruna - Prospects and Challenges of Machine Learning in the Physical World
1:11:37
Joan Bruna - Prospects and Challenges of Machine Learning in the Physical World
2 года назад
Benjamin Peherstorfer - Physics-based machine learning for quickly simulating transport-dominated...
1:00:37
Benjamin Peherstorfer - Physics-based machine learning for quickly simulating transport-dominated...
2 года назад
Jane Bae - Wall-models of turbulent flows via scientific multi-agent reinforcement learning
56:05
Jane Bae - Wall-models of turbulent flows via scientific multi-agent reinforcement learning
2 года назад
Rose Yu - Incorporating Symmetry for Learning Spatiotemporal Dynamics
1:01:06
Rose Yu - Incorporating Symmetry for Learning Spatiotemporal Dynamics
2 года назад
AI Institute in Dynamic Systems
3:00
AI Institute in Dynamic Systems
3 года назад
Eva Kanso - One fish, two fish
1:03:11
Eva Kanso - One fish, two fish
3 года назад
Nicholas Zabaras - Physics Informed Learning for Multiscale Dynamical Systems
1:08:17
Nicholas Zabaras - Physics Informed Learning for Multiscale Dynamical Systems
3 года назад
Kevin Carlberg - AI for Computational Physics: Toward real-time high-fidelity simulation
1:10:09
Kevin Carlberg - AI for Computational Physics: Toward real-time high-fidelity simulation
3 года назад
Anima Anandkumar - Neural operator: A new paradigm for learning PDEs
59:56
Anima Anandkumar - Neural operator: A new paradigm for learning PDEs
3 года назад
Beverley McKeon - What’s in a mean (what, how and why)? Towards nonlinear models of wall turbulence
53:10
Beverley McKeon - What’s in a mean (what, how and why)? Towards nonlinear models of wall turbulence
3 года назад
Tamara Kolda - Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition
58:25
Tamara Kolda - Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition
3 года назад
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