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Guang Lin - Scalable algorithms for Bayesian deep learning via stochastic gradient Monte Carlo
Presenter
- Guang Lin
July 16, 2025
IPAM
Extending Generalization Theory to Address Phenomena in Contemporary Machine Learning
Presenter
- Shay Moran
October 17, 2023
IAS
Deep Gaussian Process Surrogates for Computer Experiments
Presenter
- Robert Gramacy
August 31, 2022
IMSI
Generative and variational modeling for quantum many-body physics
Presenter
- Giuseppe Carleo
September 27, 2019
IPAM
Addressing some computational and modeling challenges in phylogenomic analysis
Presenter
- Minh Bui
November 20, 2024
ICERM
(Self-)Supervised Learning for Perception Tasks in Automated Driving
Presenter
- Wolfram Burgard
October 7, 2020
IPAM
Discovering interpretable and generalizable dynamical systems from data
Presenter
- Steve Brunton
October 29, 2019
IPAM
Matthias Caro - Classical Verification of Quantum Learning - IPAM at UCLA
Presenter
- Matthias Caro
October 17, 2023
IPAM