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Tutorial on Optimization methods for machine learning (Part 2)
Presenter
- Jorge Nocedal
July 19, 2012
IPAM
Tutorial on Optimization methods for machine learning (Part 1)
Presenter
- Jorge Nocedal
July 18, 2012
IPAM
Large group discussion on What have we learned about manifold learning
Presenter
- Partha Niyogi
October 27, 2008
IMA
Ryan Sweke - Should we use parameterized quantum circuits for machine learning? - IPAM at UCLA
Presenter
- Ryan Sweke
October 17, 2023
IPAM
Marc Lackenby - Using machine learning to formulate mathematical conjectures - IPAM at UCLA
Presenter
- Marc Lackenby
February 14, 2023
IPAM
Sarah Haigh - Probing atomic behaviour in liquids with STEM : opportunities for machine learning
Presenter
- Sarah Haigh
November 30, 2022
IPAM
Raymond Clay - Machine Learning in Equation of State and Transport Modeling at Extreme Conditions
Presenter
- Raymond Clay
May 24, 2022
IPAM
Applications of machine learning in low-latency electromagnetic counterpart inference from gravitational waves
Presenter
- Deep Chatterjee
November 29, 2021
IPAM
How to assess scientific machine learning models? Prediction errors and predictive uncertainty quantification
Presenter
- Matthias Rupp
November 21, 2019
IPAM