Start date cannot be after end date.
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
Real-time gravitational-wave parameter estimation using machine learning
Presenter
- Stephen Green
November 17, 2021
IPAM
Algorithms for metric elicitation via the geometry of classifier statistics.
Presenter
- Sanmi Koyejo
August 3, 2021
ICERM
ML Without Unnecessary Harm: Blind Pareto Fairness and Subgroup Robustness
Presenter
- Guillermo Sapiro
July 6, 2021
ICERM