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Naomi Ginsberg - Formation and function of assembled nanomaterials with multimodal X-ray scattering
Presenter
- Naomi Ginsberg Ginsberg
November 28, 2022
IPAM
Daniel Cremers - Deep Learning: Challenges and Perspectives - IPAM at UCLA
Presenter
- Daniel Cremers
November 29, 2022
IPAM
Reinhard Heckel - The role of data and models for deep-learning based image reconstruction
Presenter
- Reinhard Heckel
December 1, 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
Kevin Kelly - Machine Learning Enhanced Compressive Hyperspectral Imaging - IPAM at UCLA
Presenter
- Kevin Kelly
December 2, 2022
IPAM
Rama Vasudevan - Advancing Microscopy with Machine Learning: Lessons from Scanning Probe Microscopy
Presenter
- Rama Vasudevan
November 29, 2022
IPAM
Sarah Haigh - Probing atomic behaviour in liquids with STEM : opportunities for machine learning
Presenter
- Sarah Haigh
November 30, 2022
IPAM
Mahdi Soltanolkotabi - Medical image reconstruction via deep learning: architectures, data reduction
Presenter
- Mahdi Soltanolkotabi
November 30, 2022
IPAM
Ben Recht - Splitting the difference between deep and shallow solutions of inverse problems
Presenter
- Ben Recht
November 30, 2022
IPAM
Paul Hand - Signal Recovery with Generative Priors - IPAM at UCLA
Presenter
- Paul Hand
November 29, 2022
IPAM
Jamie Haddock - Hierarchical and neural nonnegative tensor factorizations - IPAM at UCLA
Presenter
- Jamie Haddock
December 2, 2022
IPAM
Piotr Indyk - Learning-Based Low-Rank Approximations - IPAM at UCLA
Presenter
- Piotr Indyk
November 29, 2022
IPAM