All times in this Schedule are Pacific Time (PT)
Thursday, September 5, 2019
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Morning Session
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8:00 - 8:55
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Check-In/Breakfast (Hosted by IPAM)
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8:55 - 9:00
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Welcome & Opening Remarks: Dean Miguel García-Garibay (Dean of Physical Sciences, UCLA) and Dima Shlyakhtenko (Director, IPAM)
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9:00 - 10:15
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Frank Noe (Freie Universität Berlin)
Intro to Machine Learning part 1
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10:15 - 10:45
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Break
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10:45 - 12:00
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Steve Brunton (University of Washington)
Dynamical Systems part 1
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12:00 - 12:30
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Core Orientation
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12:30 - 2:00
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Lunch (on your own)
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Afternoon Session
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2:00 - 3:15
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Tristan Bereau (Max Planck Institute for Polymer Research)
Constructing Conservation Laws with Machine Learning for Energy Landscapes
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3:15 - 3:45
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Break
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3:45 - 5:00
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Anatole von Lilienfeld (University of Basel)
Introduction to Electronic Structure Calculations
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Friday, September 6, 2019
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Morning Session
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8:00 - 9:00
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Check-In/Breakfast (Hosted by IPAM)
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9:00 - 10:15
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Frank Noe (Freie Universität Berlin)
Intro to Machine Learning part 2
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10:15 - 10:45
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Break
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10:45 - 12:00
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Steve Brunton (University of Washington)
Dynamical Systems part 2
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12:00 - 2:00
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Lunch (on your own)
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Afternoon Session
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2:00 - 3:15
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Marina Meila (University of Washington)
Manifold Learning
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3:15 - 3:45
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Break
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3:45 - 5:00
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Gianni De Fabritiis (Universitat Pompeu Fabra)
Machine Learning for Drug Design
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Monday, September 9, 2019
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Morning Session
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8:00 - 9:00
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Check-In/Breakfast (Hosted by IPAM)
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9:00 - 10:15
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Patrick Riley (Google)
Data preparation and feature engineering
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10:15 - 10:45
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Break
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10:45 - 12:00
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12:00 - 2:00
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Lunch (on your own)
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Afternoon Session
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2:00 - 3:15
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3:15 - 3:45
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Break
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3:45 - 5:00
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Kyle Cranmer (New York University)
The interplay between physically motivated simulations and machine learning
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Tuesday, September 10, 2019
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Morning Session
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8:00 - 9:00
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Check-In/Breakfast (Hosted by IPAM)
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9:00 - 10:15
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Patrick Riley (Google)
Graph based neural networks for prediction and generation
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10:15 - 10:45
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Break
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10:45 - 12:00
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12:00 - 2:00
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Lunch (on your own)
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Afternoon Session
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2:00 - 3:15
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Frank Noe (Freie Universität Berlin)
Connection between Statistics and Machine Learning
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3:15 - 3:45
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Break
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3:45 - 5:00
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Steve Brunton (University of Washington)
Introduction to Fluid Mechanics
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