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Trainability and accuracy of artificial neural networks
Presenter
- Eric Vanden-Eijnden
November 18, 2019
IPAM
Validation and Reproducibility by Geometry, for Unsupervised Learning
Presenter
- Marina Meila
October 31, 2019
IPAM
Model Interpretability for Building Confidence and Sparking Insight in Scientific Applications
Presenter
- Julia Ling
October 14, 2019
IPAM
Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning
Presenter
- Michael Mahoney
October 14, 2019
IPAM
An ICERM Public Lecture - Bias in bios: fairness in a high-stakes machine-learning setting
Presenter
- Adam Kalai
March 21, 2019
ICERM
Communication-Avoiding Algorithms for Linear Algebra, Machine Learning, and Beyond
Presenter
- James Demmel
October 18, 2018
IPAM
Sparsity and rank: Applications to estimation, machine learning, and system identification.
Presenter
- Ben Recht
May 31, 2014
IMA
Interpreting AI solutions to the word problem in automatic groups?
Presenter
- J. Elisenda Grigsby
September 18, 2025
ICERM