Videos

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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
Murmurations of Arithmetic L-functions Thumbnail

Murmurations of Arithmetic L-functions

Presenter
  • Andrew Sutherland
April 24, 2023
IAS
Lisa Nickerson - Addressing Confounds in Neuroimaging Machine Learning Predictions - IPAM at UCLA Thumbnail

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 Thumbnail

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 Thumbnail

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 Thumbnail

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 Thumbnail

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 Thumbnail

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 Thumbnail

George Barbastathis - On the use of machine learning for computational imaging - IPAM at UCLA

Presenter
  • George Barbastathis
October 11, 2022
IPAM
Systemic risk: from network theory to machine learning Thumbnail

Systemic risk: from network theory to machine learning

Presenter
  • Paolo Barucca
April 4, 2022
IMSI
Stefan Chmiela - Non-locality in machine learning force fields - IPAM at UCLA Thumbnail

Stefan Chmiela - Non-locality in machine learning force fields - IPAM at UCLA

Presenter
  • Stefan Chmiela
March 31, 2022
IPAM