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Neural network classifiers for distinguishing signals from instrumental noise
Presenter
- Melissa Lopez
June 2, 2025
ICERM
MOR meets ML: A general framework and what we can learn from it
Presenter
- Benjamin Unger
January 10, 2025
ICERM
Misha Belkin - Emergence and grokking in "simple" architectures - IPAM at UCLA
Presenter
- Misha Belkin
October 18, 2024
IPAM
Physics-Inspired Machine Learning Methods: A Status Report on Predictive Chemistry
Presenter
- Teresa Head-Gordon
April 8, 2024
IMSI
Efficient Invariant Embeddings for multisets, point sets, and graphs
Presenter
- Nadav Dym
December 13, 2023
IMSI
Function-space regularized divergences for machine learning applications
Presenter
- Ioannis (Yannis) Pantazis
May 11, 2023
ICERM
Boris Kozinsky - Uncertainty-aware machine learning models of many-body atomic interactions
Presenter
- Boris Kozinsky
April 17, 2023
IPAM
Does Machine Learning Improve Operational Efficiency? Evidence from the Design of an Emergency Department Vertical Processing Unit
Presenter
- Agni Orfanoudaki
April 6, 2023
IMSI
Jason Rute - Deep learning in interactive theorem proving - IPAM at UCLA
Presenter
- Jason Rute
February 16, 2023
IPAM
Marc Lackenby - Using machine learning to formulate mathematical conjectures - IPAM at UCLA
Presenter
- Marc Lackenby
February 14, 2023
IPAM
Oliver Eberle - Explainable structured machine learning in similarity, graph and transformer models
Presenter
- Oliver Eberle
January 12, 2023
IPAM
