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George Barbastathis - On the use of machine learning for computational imaging - IPAM at UCLA
Presenter
- George Barbastathis
October 11, 2022
IPAM
Mark Tuckerman - Quantum time correlation functions in an open-chain path integral distribution
Presenter
- Mark Tuckerman
May 26, 2022
IPAM
Marivi Fernandez Serra - Machine learning to improve the exchange and correlation functional in DFT
Presenter
- Marivi Fernandez-Serra
May 26, 2022
IPAM
Brenda Rubenstein - Extending the Reach of Quantum Monte Carlo Methods via Machine Learning
Presenter
- Brenda Rubenstein
May 26, 2022
IPAM
Jarrod McClean - Dequantization and quantum advantage in learning from experiments
Presenter
- Jarrod McClean
January 25, 2022
IPAM
Can convective heat transport be more efficient than the so-called 'ultimate' regime?
Presenter
- Basile Gallet
January 11, 2021
IPAM
The Geography of Immersed Lagrangian Fillings of Legendrian Submanifolds
Presenter
- Lisa Traynor
April 24, 2020
IAS
Compositional inductive biases in human function learning
Presenter
- Samuel Gershman
January 14, 2020
IAS
Validation and Reproducibility by Geometry, for Unsupervised Learning
Presenter
- Marina Meila
October 31, 2019
IPAM
Some things you need to know about machine learning but didn't know whom to ask (the grad school version)
Presenter
- Sanjeev Arora
February 5, 2018
IAS
Recent advances in shape and topology optimization by the level set method
Presenter
- Francois Jouve
June 10, 2016
IMA