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Reinhard Heckel - The role of data and models for deep-learning based image reconstruction
Presenter
- Reinhard Heckel
December 1, 2022
IPAM
Sarah Haigh - Probing atomic behaviour in liquids with STEM : opportunities for machine learning
Presenter
- Sarah Haigh
November 30, 2022
IPAM
Ben Recht - Splitting the difference between deep and shallow solutions of inverse problems
Presenter
- Ben Recht
November 30, 2022
IPAM
Mahdi Soltanolkotabi - Medical image reconstruction via deep learning: architectures, data reduction
Presenter
- Mahdi Soltanolkotabi
November 30, 2022
IPAM
Multi-scale observations, modeling, and impacts of sea ice geometry
Presenter
- Chris Horvat
November 30, 2022
IMSI
Daniel Cremers - Deep Learning: Challenges and Perspectives - IPAM at UCLA
Presenter
- Daniel Cremers
November 29, 2022
IPAM
Rama Vasudevan - Advancing Microscopy with Machine Learning: Lessons from Scanning Probe Microscopy
Presenter
- Rama Vasudevan
November 29, 2022
IPAM
Piotr Indyk - Learning-Based Low-Rank Approximations - IPAM at UCLA
Presenter
- Piotr Indyk
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
Naomi Ginsberg - Formation and function of assembled nanomaterials with multimodal X-ray scattering
Presenter
- Naomi Ginsberg Ginsberg
November 28, 2022
IPAM
Anna Little - Unbiasing Procedures for Scale-invariant Multi-reference Alignment - IPAM at UCLA
Presenter
- Anna Little
November 28, 2022
IPAM