John Wright - Recent Directions in Nonconvexity: Landscapes, Methods, Architectures
Prof. John Wright from Columbia University speaking at the AI Institute in Dynamic Systems Kickoff on Mar. 17, 2022.
Sign up for notifications of future talks: https://mailman11.u.washington.edu/mailman/listinfo/datadriven-seminar
Видео John Wright - Recent Directions in Nonconvexity: Landscapes, Methods, Architectures канала Physics Informed Machine Learning
Sign up for notifications of future talks: https://mailman11.u.washington.edu/mailman/listinfo/datadriven-seminar
Видео John Wright - Recent Directions in Nonconvexity: Landscapes, Methods, Architectures канала Physics Informed Machine Learning
Показать
Комментарии отсутствуют
Информация о видео
31 марта 2022 г. 8:29:53
00:37:08
Другие видео канала
![Benjamin Peherstorfer - Physics-based machine learning for quickly simulating transport-dominated...](https://i.ytimg.com/vi/9Cxgu9TuY2U/default.jpg)
![Aditya Nair/Floris van Breugel - Leveraging Machine Learning for interaction-based models and contro](https://i.ytimg.com/vi/TFGMAtlqaJQ/default.jpg)
![Melanie Weber - Exploiting Geometric Structure in Machine Learning and Optimization](https://i.ytimg.com/vi/EOdnedBuJN0/default.jpg)
![Na Li - Scalable and Safe Learning-based Decision-Making in Dynamical Systems](https://i.ytimg.com/vi/5pHjryDp6lw/default.jpg)
![Alex Gorodetsky - Scalable Learning of Dynamical Systems](https://i.ytimg.com/vi/nrd4lw2qYMk/default.jpg)
![Rose Yu - Incorporating Symmetry for Learning Spatiotemporal Dynamics](https://i.ytimg.com/vi/h7TfFssBFEs/default.jpg)
![Hod Lipson - The AI Scientist Automating Discovery, From Cognitive Robotics to Computational Biology](https://i.ytimg.com/vi/0mKguCNHlEo/default.jpg)
![Steve Brunton - Discovering interpretable and generalizable dynamical systems from data](https://i.ytimg.com/vi/UeyRETIwcYw/default.jpg)
![Jane Bae - Wall-models of turbulent flows via scientific multi-agent reinforcement learning](https://i.ytimg.com/vi/dDS1TUx70J0/default.jpg)
![Kathleen Champion - Data-driven discovery of coordinates and governing equations](https://i.ytimg.com/vi/Z-l7G8zq8I0/default.jpg)
![Kevin Carlberg - Breaking Komolgorov-Width Barriers using Deep Learning](https://i.ytimg.com/vi/kxEiJLNqW_4/default.jpg)
![David Bortz - The Surprising Robustness and Computational Efficiency of Weak Form System Identif...](https://i.ytimg.com/vi/LLDFkOoxDBo/default.jpg)
![John Wright - Deep Networks and the Multiple Manifold Problem](https://i.ytimg.com/vi/xCVV4eDDysY/default.jpg)
![Dominique Zosso - Graph-Based Geometric Data Analysis](https://i.ytimg.com/vi/kjZG2ryLmkU/default.jpg)
![Laure Zanna - Data-driven turbulence closures for ocean and climate models: advances and challenges](https://i.ytimg.com/vi/J48yprEYNHk/default.jpg)
![Benjamin Peherstorfer - Data generation for learning reduced models with operator inference](https://i.ytimg.com/vi/odZmGIJYZ14/default.jpg)
![Andrea Bertozzi - Total Variation Minimization on Graphs for Semisupervised and Unsupervised ML](https://i.ytimg.com/vi/EOlG5SGqfL4/default.jpg)
![Andrew Stuart - Supervised Learning For Operators](https://i.ytimg.com/vi/tASot9j7-Cc/default.jpg)
![Krithika Manohar - Optimal Sensors for Empowering AI](https://i.ytimg.com/vi/pDxdjhRU7ak/default.jpg)
![Jörn Dunkel - Symmetry-informed model inference for active matter](https://i.ytimg.com/vi/A53PciowtBE/default.jpg)
![Aleksandr Aravkin - Algorithms for Nonsmooth, Nonconvex Problems in Data-Driven Discovery](https://i.ytimg.com/vi/UnIcBCPO1zg/default.jpg)