Upcoming Seminars
March 2021
March 10, 2021 - 1:00pm | |||
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Learning in Graph Neural NetworksMarch 10, 2021 - 1:00pm Abstract: Graph Neural Networks (GNNs) have become a popular tool for learning representations of graph-structured inputs, with... |
Speaker: Stefanie Jegelka, MIT | |
March 15, 2021 - 10:00am | |||
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Deterministic Gibbs Sampling via Ordinary Differential EquationsMarch 15, 2021 - 10:00am Abstract: Deterministic dynamics is an essential part of many MCMC algorithms, e.g. Hybrid Monte Carlo or samplers utilizing normalizing flows.... |
Speaker: Max Welling, University of Amsterdam | |
March 22, 2021 - 1:00pm | |||
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Data-Driven Model Discovery and Physics-Informed LearningMarch 22, 2021 - 1:00pm Abstract: A major challenge in the study of dynamic systems and boundary value problems is that of model discovery:... |
Speaker: Nathan Kutz, University of Washington | |
March 29, 2021 - 1:00pm | |||
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Spline Insights into Deep LearningMarch 29, 2021 - 1:00pm Abstract: We build a rigorous bridge between deep networks (DNs) and approximation theory via spline functions and operators. Our key result is... |
Speaker: Richard Baraniuk, Rice | |