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Randomization, Neutrality, and Fairness: Probability Spaces Driven by Geometric Constraints
Presenter
- Wesley Pegden
October 23, 2023
SLMath
Shedding Light on How the Brain Learns: Smart Experimental Systems and Machine Learning in Neurogenetics
Presenter
- Hang Lu
July 28, 2025
ICERM
Xuexin Wei - Learning and Inference with Prior Knowledge - IPAM at UCLA
Presenter
- Xuexin Wei
September 25, 2024
IPAM
Approximations and learning in the Wasserstein space
Presenter
- Caroline Moosmüller
May 12, 2023
ICERM
Kyunghyun Cho - Lab-in-the-loop de novo antibody design - what are we missing from machine learning?
Presenter
- Kyunghyun Cho
January 25, 2023
IPAM
Coarse graining autoencoders and evolutionary learning of atomistic potentials
Presenter
- Rafael Gomez-Bombarelli
September 24, 2019
IPAM
ALAMO: Machine learning from data and first principles
Presenter
- Nick Sahinidis
October 6, 2017
IPAM
Linking levels of analysis in computational models of corticostriatal function
Presenter
- Michael Frank
December 11, 2012
MBI
Learning with Boolean Threshold Functions, a Statistical Physics Perspective
Presenter
- Rémi Monasson
January 25, 2011
IAS
