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Palina Salanevich - STFT Phase retrieval: robustness and generative priors - IPAM at UCLA
Presenter
- Palina Salanevich
December 2, 2022
IPAM
Kevin Kelly - Machine Learning Enhanced Compressive Hyperspectral Imaging - IPAM at UCLA
Presenter
- Kevin Kelly
December 2, 2022
IPAM
Jamie Haddock - Hierarchical and neural nonnegative tensor factorizations - IPAM at UCLA
Presenter
- Jamie Haddock
December 2, 2022
IPAM
Mary Scott - Supervised and Unsupervised approaches for Electron Microscopy Data Analysis
Presenter
- Mary Scott
December 1, 2022
IPAM
Elizaveta Rebrova - Low-rank tensor recovery from memory-efficient measurements - IPAM at UCLA
Presenter
- Elizaveta Rebrova
December 1, 2022
IPAM
Mark Iwen - Accurate Recovery of Compactly Supported Smooth Functions from Spectrogram Measurements
Presenter
- Mark Iwen
December 1, 2022
IPAM
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
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