All times in this Schedule are Pacific Time (PT)
Monday, September 23, 2019
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9:00 - 9:50
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Alexandre Tkatchenko (University of Luxembourg)
Towards a Unified Machine Learning Model of Molecular Chemical Space

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10:15 - 11:05
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11:30 - 12:20
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2:30 - 3:20
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3:45 - 4:35
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Frank Noe (Freie Universität Berlin)
Deep Generative Learning for Physics Many-Body Systems

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Tuesday, September 24, 2019
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9:00 - 9:50
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Philip Kurian (Howard University)
New horizons in quantum biology: Learning complexity, emergence, and coherence in living matter
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10:15 - 11:05
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Olexandr Isayev (Carnegie Mellon University)
De Novo Drug Design with Deep Reinforcement Learning
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11:30 - 12:20
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2:30 - 3:20
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4:00 - 4:50
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Wednesday, September 25, 2019
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9:00 - 9:50
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10:15 - 11:05
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11:30 - 12:20
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2:30 - 3:20
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4:00 - 4:50
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Thursday, September 26, 2019
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9:00 - 9:50
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10:15 - 11:05
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11:30 - 12:20
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2:30 - 3:20
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4:00 - 4:15
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Joshua Yao-Yu Lin (University of Illinois at Urbana-Champaign)
Hunting for dark matter substructures in strong lensing with neural networks.

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4:20 - 4:35
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Nicholas Charron (Rice University)
Coarse-graining molecular systems by spectral matching.
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4:40 - 4:55
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Ganesh Sivaraman (Argonne National Laboratory)
A diversified machine learning strategy for predicting and understanding molecular melting points.

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Friday, September 27, 2019
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9:00 - 9:50
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10:15 - 11:05
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11:30 - 12:20
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2:30 - 3:20
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4:00 - 4:50
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