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Youssef Mroueh

Cycle Consistent Probability Divergences Across Different Spaces


Nov 22, 2021
Zhengxin Zhang, Youssef Mroueh, Ziv Goldfeld, Bharath K. Sriperumbudur

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* 35 pages 
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Physics-enhanced deep surrogates for PDEs


Nov 10, 2021
Raphaël Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson

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Tighter Sparse Approximation Bounds for ReLU Neural Networks


Oct 07, 2021
Carles Domingo-Enrich, Youssef Mroueh


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Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics


Jun 29, 2021
Carles Domingo-Enrich, Youssef Mroueh

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* 32 pages, 3 figures 
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Do Large Scale Molecular Language Representations Capture Important Structural Information?


Jun 17, 2021
Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan, Inkit Padhi, Youssef Mroueh, Payel Das

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* 17 pages, 3 figures 
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Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks


Jun 14, 2021
David Alvarez-Melis, Yair Schiff, Youssef Mroueh

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Measuring Generalization with Optimal Transport


Jun 07, 2021
Ching-Yao Chuang, Youssef Mroueh, Kristjan Greenewald, Antonio Torralba, Stefanie Jegelka

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Fair Mixup: Fairness via Interpolation


Mar 11, 2021
Ching-Yao Chuang, Youssef Mroueh

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* ICLR 2021 
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Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge


Dec 21, 2020
Pierre Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere

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* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 
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Alleviating Noisy Data in Image Captioning with Cooperative Distillation


Dec 21, 2020
Pierre Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff

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* CVPR 2020 VizWiz Challenge 
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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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* Submitted to ICASSP, 2021; https://github.com/IBM/TabFormer 
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Unbalanced Sobolev Descent


Sep 29, 2020
Youssef Mroueh, Mattia Rigotti

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* NeurIPS 2020 
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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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* submitted to npj 
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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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* ACL 2020 
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Generative Modeling with Denoising Auto-Encoders and Langevin Sampling


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

* 22 pages 
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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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* 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP'2020) Oral 
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Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets


Dec 26, 2019
Mingrui Liu, Youssef Mroueh, Jerret Ross, Wei Zhang, Xiaodong Cui, Payel Das, Tianbao Yang

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* Accepted by ICLR 2020 
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Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces


Nov 06, 2019
David Alvarez-Melis, Youssef Mroueh, Tommi S. Jaakkola

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Sobolev Independence Criterion


Oct 31, 2019
Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cicero Dos Santos

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* NeurIPS 2019 
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Decentralized Parallel Algorithm for Training Generative Adversarial Nets


Oct 30, 2019
Mingrui Liu, Youssef Mroueh, Wei Zhang, Xiaodong Cui, Jerret Ross, Tianbao Yang, Payel Das

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* Accepted by NeurIPS Smooth Games Optimization and Machine Learning Workshop: bridging game theory and deep learning, 2019 
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Wasserstein Style Transfer


May 30, 2019
Youssef Mroueh

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