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Combinatorial Invariance: a Case Study of Pure Math / Machine Learning Interaction
Presenter
- Geordie Williamson
March 28, 2022
IAS
Geordie Williamson - What can the working mathematician expect from deep learning? - IPAM at UCLA
Presenter
- Geordie Williamson
February 13, 2023
IPAM
Machine learning constitutive models of inelastic materials with microstructure
Presenter
- Reese Jones
June 6, 2023
ICERM
Bridging Machine Learning and Mathematical Modeling to Decipher Tumor heterogeneity and Therapy Resistance
Presenter
- Xiufen Zou
July 31, 2025
ICERM
Maria Schuld - How to rethink quantum machine learning - IPAM at UCLA
Presenter
- Maria Schuld
October 16, 2023
IPAM
Optimization, Sampling and Generative Modeling in Non-Euclidean Spaces
Presenter
- Molei Tao
May 15, 2024
IMSI
The Equational Theories Project: Advancing Collaborative Mathematical Research at Scale
Presenter
- Terence Tao
September 15, 2025
ICERM
Machine Learning: Dynamical, Economic and Stochastic Perspectives
Presenter
- Michael Jordan
January 23, 2019
MBI
ALAMO: Machine learning from data and first principles
Presenter
- Nick Sahinidis
October 6, 2017
IPAM
Everything you wanted to know about machine learning but didn't know whom to ask
Presenter
- Sanjeev Arora
November 27, 2017
IAS
Mean Field Games: recent progress and applications
Presenter
- Pierre-Louis Lions
October 7, 2020
IMSI
Some things you need to know about machine learning but didn't know whom to ask (the grad school version)
Presenter
- Sanjeev Arora
February 5, 2018
IAS