Workshop IV: Multi-Modal Imaging with Deep Learning and Modeling - IPAM

Workshop IV: Multi-Modal Imaging with Deep Learning and Modeling

Part of the Long Program Computational Microscopy
November 28 - December 2, 2022

Schedule

All times in this Schedule are Pacific Time (PT)

Monday, November 28, 2022

Morning Session

08:00-08:55
Check-In/Breakfast (Hosted by IPAM)
08:55-09:00
Welcome & Opening Remarks: Dean Miguel García-Garibay (Dean of Physical Sciences, UCLA) and Dima Shlyakhtenko (Director, IPAM)
09:00-09:00
Session Chair: Peter Binev (University of South Carolina)
09:00-09:50
Naomi Ginsberg (University of California, Berkeley (UC Berkeley))
Deep Learning for medical image reconstruction + feature learning via Gradient Descent
10:00-10:15
Break
10:15-11:05
Anna Little (University of Utah)
Unbiasing Procedures for Scale-invariant Multi-reference Alignment
11:15-11:30
Break
11:30-12:20
Hanbaek Lyu (University of Wisconsin-Madison)
Mesoscale reconstruction of images and networks using tensor decomposition

Afternoon Session

12:30-14:30
Lunch (on your own)
14:30-14:30
Session Chair: John Miao (UCLA)
14:30-15:20
Andrea Bertozzi (University of California, Los Angeles (UCLA))
Fusing neural networks and graphical models in an active learning framework for image classification
15:30-15:50
Break
15:50-16:40
Michael Lustig (University of California, Berkeley (UC Berkeley))
Multi-modal Motion Imaging using Microwave tones in an MRI scanner
16:50-17:20
Lightning Poster Session
17:20-18:30
Poster Session & Reception (Hosted by IPAM)

Tuesday, November 29, 2022

Morning Session

08:00-09:00
Check-In/Breakfast (Hosted by IPAM)
09:00-09:00
Session Chair: Michael Wakin (Colorado School of Mines)
09:00-09:50
Daniel Cremers (Technische Universtitat München)
Virtual Talk: Deep Learning - Challenges and Perspectives
10:00-10:15
Break
10:15-11:05
Piotr Indyk (Massachusetts Institute of Technology)
Learning-Based Low-Rank Approximations
11:15-11:30
Break
11:30-12:20
Rama Vasudevan (Oak Ridge National Laboratory)
Advancing Microscopy with Machine Learning: Lessons and Insights from Scanning Probe Microscopy

Afternoon Session

12:30-14:30
Lunch (on your own)
14:30-14:30
Session Chair: Zineb Saghi (CEA)
14:30-15:20
Robert Wolkow (University of Alberta)
Wiring-Up” Atom-Defined Device Elements: Ever Closer to Operational Ultra-Fast, Ultra-Low Power and Quantum Devices
15:30-15:50
Break
15:50-16:40
Paul Hand (Northeastern University)
Signal Recovery with Generative Priors

Wednesday, November 30, 2022

Morning Session

08:00-09:00
Check-In/Breakfast (Hosted by IPAM)
09:00-09:00
Session Chair: Stan Osher (UCLA)
09:00-09:50
Sarah Haigh (University of Manchester)
Probing atomic behaviour in liquids with STEM : opportunities for machine learning
10:00-10:15
Break
10:15-11:05
Rachel Ward (University of Texas at Austin)
Virtual Talk: How Catastrophic can catastrophic forgetting be in linear regression?
11:15-11:30
Break
11:30-12:20
Zineb Saghi (Commissariat à l'Énergie Atomique (CEA))
Deep learning (and more conventional approaches) in 3D microscopy'

Afternoon Session

12:30-12:40
Group Photo
12:30-14:30
Lunch (on your own)
14:30-14:30
Session Chair: Toby Sanders (Arizona State University)
14:30-15:20
Ben Recht (University of California, Berkeley (UC Berkeley))
Splitting the difference between deep and shallow solutions of inverse problems.
15:30-15:50
Break
15:50-16:40
Mahdi Soltanolkotabi (University of Southern California (USC))
Medical image reconstruction via deep learning: new architectures, data reduction and robustness

Thursday, December 1, 2022

Morning Session

08:00-09:00
Check-In/Breakfast (Hosted by IPAM)
09:00-09:00
Session Chair: Paul Weiss (UCLA)
09:00-09:50
Mary Scott (University of California, Berkeley (UC Berkeley))
Supervised and Unsupervised approaches for Electron Microscopy Data Analysis
10:00-10:15
Break
10:15-11:05
Toby Sanders (Arizona State University)
X-space image reconstruction in Magnetic Particle Imaging (MPI)
11:15-11:30
Break
11:30-12:20
Elizaveta Rebrova (Princeton University)
Low-rank tensor recovery from memory-efficient measurements

Afternoon Session

12:30-14:30
Lunch (on your own)
14:30-14:30
Session Chair: Monika Ritsch-Marte (Medical University of Innsbruck)
14:30-15:20
Mark Iwen (Michigan State University)
Provably Accurate Recovery of Compactly Supported Smooth Functions from Spectrogram Measurements
15:30-15:50
Break
15:50-16:40
Reinhard Heckel (Technical University of Munich)
The role of data and models for deep-learning based image reconstruction

Friday, December 2, 2022

Morning Session

08:00-09:00
Check-In/Breakfast (Hosted by IPAM)
09:00-09:00
Session Chair: Ivo Ihrke ( University of Siegen)
09:00-09:50
Palina Salanevich (Utrecht University)
Virtual Talk: STFT Phase retrieval: robustness and generative priors
10:00-10:15
Break
10:15-11:05
Kevin Kelly (Rice University)
Virtual Talk: Machine Learning Enhanced Compressive Hyperspectral Imaging
11:15-11:30
Break
11:30-12:20
Jamie Haddock (Harvey Mudd College)
Hierarchical and neural nonnegative tensor factorizations

Afternoon Session

12:30-14:30
Lunch (on your own)
14:30-14:30
Session Chair: Paul Voyles ( University of Wisconsin- Madison)
14:30-15:20
Discussion
15:30-15:50
Break
15:50-16:40
Discussion
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