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Lisa Nickerson - Addressing Confounds in Neuroimaging Machine Learning Predictions - IPAM at UCLA
Presenter
- Lisa Nickerson
January 13, 2023
IPAM
Michele Ceriotti - Physical insights from atomic-scale machine learning - IPAM at UCLA
Presenter
- Michele Ceriotti
January 11, 2023
IPAM
Cecelia Clementi - Designing molecular models with machine learning and experimental data
Presenter
- Cecelia Clementi
January 11, 2023
IPAM
Rama Vasudevan - Advancing Microscopy with Machine Learning: Lessons from Scanning Probe Microscopy
Presenter
- Rama Vasudevan
November 29, 2022
IPAM
Soledad Villar - Introduction to equivariant machine learning - IPAM at UCLA
Presenter
- Soledad Villar
October 27, 2022
IPAM
Ivan Pedro Lobato Hoyos - Application of machine learning to electron microscopy data - IPAM at UCLA
Presenter
- Ivan Hoyos
October 25, 2022
IPAM
George Barbastathis - On the use of machine learning for computational imaging - IPAM at UCLA
Presenter
- George Barbastathis
October 11, 2022
IPAM
Stefan Chmiela - Non-locality in machine learning force fields - IPAM at UCLA
Presenter
- Stefan Chmiela
March 31, 2022
IPAM
Ewin Tang - On quantum linear algebra for machine learning
Presenter
- Ewin Tang
January 25, 2022
IPAM
Characterizing Transitions in Developmental Biology using Topological Machine Learning
Presenter
- Dhananjay Bhaskar
December 17, 2021
ICERM