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Parsimonious structure-exploiting deep neural network surrogates for Bayesian inverse problems and optimal experimental design
Presenter
- Omar Ghattas
October 7, 2020
IMSI
The 3 R's and P's of Autonomous Driving: Robustness, Randomness, and Risk in Perception, Prediction, and Planning
Presenter
- Adrien Gaidon
October 5, 2020
IPAM
Model-based clustering of high-dimensional data: Pitfalls & solutions
Presenter
- David Dunson
September 9, 2020
IAS
Assumption-free prediction intervals for black-box regression algorithms
Presenter
- Aaditya Ramdas
April 21, 2020
IAS
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning
Presenter
- Daniel Kuhn
February 26, 2020
IPAM
Decision-Making and Computational Psychiatry: An Explanatory and Pragmatic Perspective
Presenter
- Martin Paulus
February 20, 2020
IPAM
A binary black hole waveform generator trained on numerical relativity waveforms
Presenter
- Ik Siong Heng
January 29, 2019
IPAM
