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Robert Wolkow - Atom-Defined Devices, Ultra-Fast Classical Devices, and Diverse Quantum Devices
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Multi-Modal Imaging with Deep Learning and Modeling 2022
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- 1 Naomi Ginsberg - Formation and function of assembled nanomaterials with multimodal X-ray scattering
- 2 Anna Little - Unbiasing Procedures for Scale-invariant Multi-reference Alignment - IPAM at UCLA
- 3 Hanbaek Lyu - Mesoscale reconstruction of images and networks using tensor decomposition
- 4 Michael Lustig - Multi-modal Motion Imaging using Microwave tones in an MRI scanner - IPAM at UCLA
- 5 Daniel Cremers - Deep Learning: Challenges and Perspectives - IPAM at UCLA
- 6 Rama Vasudevan - Advancing Microscopy with Machine Learning: Lessons from Scanning Probe Microscopy
- 7 Piotr Indyk - Learning-Based Low-Rank Approximations - IPAM at UCLA
- 8 Robert Wolkow - Atom-Defined Devices, Ultra-Fast Classical Devices, and Diverse Quantum Devices
- 9 Paul Hand - Signal Recovery with Generative Priors - IPAM at UCLA
- 10 Sarah Haigh - Probing atomic behaviour in liquids with STEM : opportunities for machine learning
- 11 Juan Carlos Idrobo - Quantum Phenomena & Electron Microscopy: New Possibilities & Limitations
- 12 Ben Recht - Splitting the difference between deep and shallow solutions of inverse problems
- 13 Mahdi Soltanolkotabi - Medical image reconstruction via deep learning: architectures, data reduction
- 14 Mary Scott - Supervised and Unsupervised approaches for Electron Microscopy Data Analysis
- 15 Elizaveta Rebrova - Low-rank tensor recovery from memory-efficient measurements - IPAM at UCLA
- 16 Mark Iwen - Accurate Recovery of Compactly Supported Smooth Functions from Spectrogram Measurements
- 17 Reinhard Heckel - The role of data and models for deep-learning based image reconstruction
- 18 Palina Salanevich - STFT Phase retrieval: robustness and generative priors - IPAM at UCLA
- 19 Kevin Kelly - Machine Learning Enhanced Compressive Hyperspectral Imaging - IPAM at UCLA
- 20 Jamie Haddock - Hierarchical and neural nonnegative tensor factorizations - IPAM at UCLA
