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Rama Vasudevan - Advancing Microscopy with Machine Learning: Lessons from Scanning Probe Microscopy
Presenter
- Rama Vasudevan
November 29, 2022
IPAM
Robert Wolkow - Atom-Defined Devices, Ultra-Fast Classical Devices, and Diverse Quantum Devices
Presenter
- Robert Wolkow
November 29, 2022
IPAM
Paul Hand - Signal Recovery with Generative Priors - IPAM at UCLA
Presenter
- Paul Hand
November 29, 2022
IPAM
Anna Little - Unbiasing Procedures for Scale-invariant Multi-reference Alignment - IPAM at UCLA
Presenter
- Anna Little
November 28, 2022
IPAM
Hanbaek Lyu - Mesoscale reconstruction of images and networks using tensor decomposition
Presenter
- Hanbaek Lyu
November 28, 2022
IPAM
Michael Lustig - Multi-modal Motion Imaging using Microwave tones in an MRI scanner - IPAM at UCLA
Presenter
- Michael Lustig
November 28, 2022
IPAM
Pandora's Box with Correlations: Learning and Approximation
Presenter
- Shuchi Chawla
April 5, 2021
IAS
EMRI Waveform acceleration with machine learning and GPUs (Black Hole Perturbation Toolkit)
Presenter
- Michael Katz
November 18, 2020
ICERM
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning
Presenter
- Daniel Kuhn
February 26, 2020
IPAM
Convexity Exploiting Newton-Type Optimization for Learning and Control
Presenter
- Moritz Diehl
February 24, 2020
IPAM