Stochastic Video Generation with a Learned Prior

Rob Fergus
Courant Institute of Mathematical Sciences, New York University
February 18, 2019
Theory and Practice in Machine Learning and Computer Vision
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Strong-Weak Adversarial Domain Adaptation

Kate Saenko
Boston University
February 18, 2019
Theory and Practice in Machine Learning and Computer Vision
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Learning spoken concepts from unlabeled audio-visual data

Karen Livescu
Toyota Technological Institute at Chicago
February 18, 2019
Theory and Practice in Machine Learning and Computer Vision
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Project Artie - An Artificial Student for Disciplines Informed by Partial Differential Equations

Anthony Patera
MIT
January 30, 2019
Scientific Machine Learning
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Estimating Learnability

Gregory Valiant
Stanford University
January 30, 2019
Scientific Machine Learning
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Sequential Particle Flow for Bayesian Inference

Le Song
Georgia Tech
January 30, 2019
Scientific Machine Learning
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Deep Neural Networks for Data-Driven Turbulence Models

Andrea Beck
University of Stuttgart
January 30, 2019
Scientific Machine Learning
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Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks

Panos Stinis
Pacific Northwest National Laboratory
January 29, 2019
Scientific Machine Learning
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Data Driven Governing Equations Approximation Using Deep Neural Networks

Dongbin Xiu
Ohio State University
January 29, 2019
Scientific Machine Learning
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