Name: Challenges and Prospects of ML for the Physical Sciences
Start: 2022-06-13T08:30:00-04:00
End: 2022-06-17T16:30:00-04:00
Location: 162 5th Avenue

Challenges and Prospects of ML for the Physical Sciences

from Monday, June 13, 2022 (8:30 AM) to Friday, June 17, 2022 (4:30 PM)

Monday, June 13, 2022

8:30 AM Breakfast
Breakfast
8:30 AM - 9:00 AM
Room: 162 Fifth Avenue/2-2nd Floor Promenade
9:00 AM Joan Bruna - Joan Bruna (NYU / CCM)
Joan Bruna
- Joan Bruna (NYU / CCM)
9:00 AM - 9:30 AM
Exponential Separations in Symmetric and Anti-Symmetric Neural Networks
9:30 AM

9:30 AM - 9:45 AM
9:45 AM Alberto Bietti - Alberto Bietti (NYU)
Alberto Bietti
- Alberto Bietti (NYU)
9:45 AM - 10:15 AM
Benefits of convolutional models: a kernel perspective
10:15 AM

10:15 AM - 10:30 AM

10:30 AM Coffee Break
Coffee Break
10:30 AM - 11:00 AM
11:00 AM Yi Ma - Yi Ma (University of California, Berkeley)
Yi Ma
- Yi Ma (University of California, Berkeley)
11:00 AM - 11:30 AM
CTRL: Closed-Loop Data Transcription via Rate Reduction
11:30 AM

11:30 AM - 11:45 AM
11:45 AM Soledad Villar - Soledad Villar (Johns Hopkins University)
Soledad Villar
- Soledad Villar (Johns Hopkins University)
11:45 AM - 12:15 PM
Dimensionless machine learning: Imposing exact units equivariance
12:15 PM

12:15 PM - 12:30 PM

12:30 PM Lunch
Lunch
12:30 PM - 2:00 PM
Room: 162 Fifth Avenue/2-2nd Floor Promenade

2:00 PM CCN - Eero Simoncelli
CCN - Eero Simoncelli
2:00 PM - 2:30 PM
Image Priors in the Era of Machine Learning
2:30 PM Jiequn Han - Jiequn Han (CCM, Flatiron Institute)
Jiequn Han
- Jiequn Han (CCM, Flatiron Institute)
2:30 PM - 3:00 PM
Developing reduced-order PDEs with machine learning-based closure models
3:00 PM

3:00 PM - 3:15 PM

3:15 PM Coffee Break
Coffee Break
3:15 PM - 3:45 PM

3:45 PM Working Session
Working Session
3:45 PM - 5:00 PM
Tuesday, June 14, 2022

8:30 AM Breakfast
Breakfast
8:30 AM - 9:00 AM
Room: 162 Fifth Avenue/2-2nd Floor Promenade
9:00 AM Lawrence Saul - Lawrence Saul (UCSD/CCM )
Lawrence Saul
- Lawrence Saul (UCSD/CCM )
9:00 AM - 9:30 AM
The method of sparse similarity matching for high dimensional data analysis
9:30 AM

9:30 AM - 9:45 AM
9:45 AM SueYeon Chung - SueYeon Chung (CCN)
SueYeon Chung
- SueYeon Chung (CCN)
9:45 AM - 10:15 AM
Efficient representation geometry in distributed neural networks
10:15 AM

10:15 AM - 10:30 AM

10:30 AM Coffee Break
Coffee Break
10:30 AM - 11:00 AM
11:00 AM Rose Yu - Rose Yu (UCSD)
Rose Yu
- Rose Yu (UCSD)
11:00 AM - 11:30 AM
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
11:30 AM

11:30 AM - 11:45 AM
11:45 AM Léon Bottou - Léon Bottou (Facebook)
Léon Bottou
- Léon Bottou (Facebook)
11:45 AM - 12:15 PM
Out-of-distribution generalization and causation
12:15 PM

12:15 PM - 12:30 PM

12:30 PM Lunch
Lunch
12:30 PM - 2:00 PM

2:00 PM CCB - Mike Shelley
CCB - Mike Shelley
2:00 PM - 2:30 PM
2:30 PM Michael Mahoney - Michael Mahoney (UC Berkeley )
Michael Mahoney
- Michael Mahoney (UC Berkeley )
2:30 PM - 3:00 PM
Continuous Network Models for Sequential Predictions
3:00 PM

3:00 PM - 3:15 PM
3:15 PM Kyle Cranmer - Kyle Cranmer (NYU)
Kyle Cranmer
- Kyle Cranmer (NYU)
3:15 PM - 3:45 PM
3:45 PM

3:45 PM - 4:00 PM

4:00 PM Coffee Break
Coffee Break
4:00 PM - 4:30 PM

4:30 PM Working Session
Working Session
4:30 PM - 5:00 PM
Wednesday, June 15, 2022

8:30 AM Breakfast
Breakfast
8:30 AM - 9:00 AM
Room: 162 Fifth Avenue/2-2nd Floor Promenade
9:00 AM Maarten de Hoop - Maarten de Hoop (Rice University )
Maarten de Hoop
- Maarten de Hoop (Rice University )
9:00 AM - 9:30 AM
Deep learning, active tectonics and planetary exploration
9:30 AM

9:30 AM - 9:45 AM
9:45 AM Marylou Gabrié - Marylou Gabrié (Ecole Polytechnique)
Marylou Gabrié
- Marylou Gabrié (Ecole Polytechnique)
9:45 AM - 10:15 AM
Enhancing Sampling with Learning
10:15 AM

10:15 AM - 10:30 AM

10:30 AM Coffee Break
Coffee Break
10:30 AM - 11:00 AM
11:00 AM Shirley Ho - Shirley Ho (CCA )
Shirley Ho
- Shirley Ho (CCA )
11:00 AM - 11:30 AM
Interpretable Machine Learning for Astrophysics
11:30 AM

11:30 AM - 11:45 AM
11:45 AM Giuseppe Carleo - Giuseppe Carleo (École Polytechnique)
Giuseppe Carleo
- Giuseppe Carleo (École Polytechnique)
11:45 AM - 12:15 PM
Variational quantum states in the age of machine learning
12:15 PM

12:15 PM - 12:30 PM

12:30 PM Lunch
Lunch
12:30 PM - 2:00 PM

2:00 PM CCA - David Hogg
CCA - David Hogg
2:00 PM - 2:30 PM
2:30 PM Wenda Zhou - Wenda Zhou (NYU/CCM )
Wenda Zhou
- Wenda Zhou (NYU/CCM )
2:30 PM - 3:00 PM
Spatial equivariance and deep networks: practical approaches and challenges
3:00 PM

3:00 PM - 3:15 PM
3:15 PM Tommaso Biancalani - Tommaso Biancalani (Genentech )
Tommaso Biancalani
- Tommaso Biancalani (Genentech )
3:15 PM - 3:45 PM
Deep learning for virtual screens of antibiotics
3:45 PM

3:45 PM - 4:00 PM

4:00 PM Coffee Break
Coffee Break
4:00 PM - 4:30 PM

4:30 PM Working Session
Working Session
4:30 PM - 5:30 PM

5:30 PM Dinner at BLACKBARN Restaurant
Dinner at BLACKBARN Restaurant
5:30 PM - 8:00 PM
Thursday, June 16, 2022

8:30 AM Breakfast
Breakfast
8:30 AM - 9:00 AM
Room: 162 Fifth Avenue/2-2nd Floor Promenade
9:00 AM Robert Gower - Robert Gower (CCM )
Robert Gower
- Robert Gower (CCM )
9:00 AM - 9:30 AM
Adaptive Stochastic Gradient Methods that leverage Interpolation
9:30 AM

9:30 AM - 9:45 AM
9:45 AM Eric Vanden Eijnden - Eric Vanden Eijnden (NYU)
Eric Vanden Eijnden
- Eric Vanden Eijnden (NYU)
9:45 AM - 10:15 AM
Probability flow solution of the Fokker-Planck equation
10:15 AM

10:15 AM - 10:30 AM

10:30 AM Coffee Break
Coffee Break
10:30 AM - 11:00 AM
11:00 AM Leslie Greengard - Leslie Greengard (CCM )
Leslie Greengard
- Leslie Greengard (CCM )
11:00 AM - 11:30 AM
Electromagnetic/acoustic design optimization
11:30 AM

11:30 AM - 11:45 AM
11:45 AM Yongji Wang - Yongji Wang (Princeton University )
Yongji Wang
- Yongji Wang (Princeton University )
11:45 AM - 12:15 PM
Physics-informed Neural Networks for fluid dynamics
12:15 PM

12:15 PM - 12:30 PM

12:30 PM Lunch
Lunch
12:30 PM - 2:00 PM

2:00 PM CCQ - Domenico Di Sante
CCQ - Domenico Di Sante
2:00 PM - 2:30 PM
2:30 PM Miles Cranmer - Miles Cranmer (Princeton University/CCA)
Miles Cranmer
- Miles Cranmer (Princeton University/CCA)
2:30 PM - 3:00 PM
One Trick to Improve Regularized Training of Neural Networks
3:00 PM

3:00 PM - 3:15 PM
3:15 PM Stéphane Mallat - Stéphane Mallat (Collège de France/CCM )
Stéphane Mallat
- Stéphane Mallat (Collège de France/CCM )
3:15 PM - 3:45 PM
Learning and Generating Multiscale Physics
3:45 PM

3:45 PM - 4:00 PM

4:00 PM Working Session
Working Session
4:00 PM - 5:00 PM
Friday, June 17, 2022

8:30 AM Breakfast
Breakfast
8:30 AM - 9:00 AM

9:00 AM Working Session
Working Session
9:00 AM - 11:00 AM

11:00 AM Lunch to-go
Lunch to-go
11:00 AM - 11:30 AM