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A three-pronged approach to using machine learning in knot theory
Presenter
- Mark Hughes
May 24, 2023
ICERM
Studying Physician Work and Wellbeing using Machine Learning and Network Science
Presenter
- Retsef Levi
May 17, 2023
IMSI
Function-space regularized divergences for machine learning applications
Presenter
- Ioannis (Yannis) Pantazis
May 11, 2023
ICERM
Signed Cumulative Distribution Transform for Machine Learning
Presenter
- Sumati Thareja
May 8, 2023
ICERM
MSRI / SLMath 40th Anniversary Symposium: Machine Assisted Proofs
Presenter
- Terence Tao
April 13, 2023
SLMath
Lisa Nickerson - Addressing Confounds in Neuroimaging Machine Learning Predictions - IPAM at UCLA
Presenter
- Lisa Nickerson
January 13, 2023
IPAM
Cecelia Clementi - Designing molecular models with machine learning and experimental data
Presenter
- Cecelia Clementi
January 11, 2023
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
Stefan Chmiela - Non-locality in machine learning force fields - IPAM at UCLA
Presenter
- Stefan Chmiela
March 31, 2022
IPAM