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Youssef Mroueh

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On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow

Nov 04, 2020
Youssef Mroueh, Truyen Nguyen

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Tabular Transformers for Modeling Multivariate Time Series

Nov 03, 2020
Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre Dognin, Jerret Ross, Ravi Nair, Erik Altman

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Unbalanced Sobolev Descent

Sep 29, 2020
Youssef Mroueh, Mattia Rigotti

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Active learning of deep surrogates for PDEs: Application to metasurface design

Aug 24, 2020
Raphaël Pestourie, Youssef Mroueh, Thanh V. Nguyen, Payel Das, Steven G. Johnson

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Kernel Stein Generative Modeling

Jul 06, 2020
Wei-Cheng Chang, Chun-Liang Li, Youssef Mroueh, Yiming Yang

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Fast Mixing of Multi-Scale Langevin Dynamics under the Manifold Hypothesis

Jun 22, 2020
Adam Block, Youssef Mroueh, Alexander Rakhlin, Jerret Ross

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Learning Implicit Text Generation via Feature Matching

May 09, 2020
Inkit Padhi, Pierre Dognin, Ke Bai, Cicero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das

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Generative Modeling with Denoising Auto-Encoders and Langevin Sampling

Feb 17, 2020
Adam Block, Youssef Mroueh, Alexander Rakhlin

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Improving Efficiency in Large-Scale Decentralized Distributed Training

Feb 04, 2020
Wei Zhang, Xiaodong Cui, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, Youssef Mroueh, Alper Buyuktosunoglu, Payel Das, David Kung, Michael Picheny

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