# Youssef Mroueh

## contact information

Research Staff Member

Thomas J. Watson Research Center, Yorktown Heights, NY USA

Thomas J. Watson Research Center, Yorktown Heights, NY USA

## links

**2020**

Decentralized Parallel Algorithm for Training Generative Adversarial Nets

Liu, M., Mroueh, Y., Zhang, W., Cui, X., Yang, T. and Das, P

Liu, M., Mroueh, Y., Zhang, W., Cui, X., Yang, T. and Das, P

*NeurIPS*, 2020
Unbalanced Sobolev Descent

Youssef Mroueh, Mattia Rigotti

Abstract reproducing kernel hilbert space, sobolev space, conservation of mass, artificial neural network, applied mathematics, reaction step, particle, advection, computer science, target distribution

Youssef Mroueh, Mattia Rigotti

*arXiv preprint arXiv:2009.14148*, 2020Abstract reproducing kernel hilbert space, sobolev space, conservation of mass, artificial neural network, applied mathematics, reaction step, particle, advection, computer science, target distribution

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

Adam Block, Youssef Mroueh, Alexander Rakhlin, Jerret Ross

Abstract langevin dynamics, intrinsic dimension, markov chain monte carlo, exponential function, manifold, statistical physics, image quality, sampling, computer science, image generation

Adam Block, Youssef Mroueh, Alexander Rakhlin, Jerret Ross

*arXiv preprint arXiv:2006.11166*, 2020Abstract langevin dynamics, intrinsic dimension, markov chain monte carlo, exponential function, manifold, statistical physics, image quality, sampling, computer science, image generation

Generative Modeling with Denoising Auto-Encoders and Langevin Sampling

Adam Block, Youssef Mroueh, Alexander Rakhlin

Abstract sampling, population, score, gaussian, convergence, algorithm, noise reduction, mathematics, auto encoders, generative modeling

Adam Block, Youssef Mroueh, Alexander Rakhlin

*arXiv preprint arXiv:2002.00107*, 2020Abstract sampling, population, score, gaussian, convergence, algorithm, noise reduction, mathematics, auto encoders, generative modeling

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

Raphael Pestourie, Youssef Mroueh, Thanh V. Nguyen, Payel Das, Steven G. Johnson

Abstract surrogate model, engineering optimization, active learning, computer engineering, order of magnitude, computer science, optical wavelength

Raphael Pestourie, Youssef Mroueh, Thanh V. Nguyen, Payel Das, Steven G. Johnson

*arXiv preprint arXiv:2008.12649*, 2020Abstract surrogate model, engineering optimization, active learning, computer engineering, order of magnitude, computer science, optical wavelength

Kernel Stein Generative Modeling

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

Abstract gradient descent, bayesian inference, score, inference, kullback leibler divergence, kernel, estimator, mnist database, algorithm, computer science

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

*arXiv preprint arXiv:2007.03074*, 2020Abstract gradient descent, bayesian inference, score, inference, kullback leibler divergence, kernel, estimator, mnist database, algorithm, computer science

Transforming source distribution to target distribution using Sobolev descent

Mroueh Youssef, Sercu Tom

2020

Abstract executable, computer program, artificial neural network, morphing, product distribution, computational science, sampling, computer science, sobolev space, target distribution

Mroueh Youssef, Sercu Tom

2020

Abstract executable, computer program, artificial neural network, morphing, product distribution, computational science, sampling, computer science, sobolev space, target distribution

Nano-Material Configuration Design with Deep Surrogate Langevin Dynamics

Thanh V. Nguyen, Youssef Mroueh, Samuel Hoffman, Payel Das, Pierre Dognin, Giuseppe Romano, Chinmay Hegde

langevin dynamics, configuration design, classical mechanics, nanomaterials, computer science

Thanh V. Nguyen, Youssef Mroueh, Samuel Hoffman, Payel Das, Pierre Dognin, Giuseppe Romano, Chinmay Hegde

*ICLR 2020 Workshop on Integration of Deep Neural Models and Differential Equations*langevin dynamics, configuration design, classical mechanics, nanomaterials, computer science

Learning Implicit Text Generation via Feature Matching

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

2020

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

2020

Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets

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

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

*International Conference on Learning Representations (ICLR), 2020*
Improving Efficiency in Large-Scale Decentralized Distributed Training

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

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

*ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP, Lecture Session)***2019**

Improved Mutual Information Estimation

Youssef Mroueh, Igor Melnyk, Pierre Dognin, Jerret Ross, Tom Sercu

2019

mutual information, data mining, computer science

Youssef Mroueh, Igor Melnyk, Pierre Dognin, Jerret Ross, Tom Sercu

2019

mutual information, data mining, computer science

Surrogate-Based Constrained Langevin Sampling With Applications to Optimal Material Configuration Design

Thanh V Nguyen, Youssef Mroueh, Samuel C. Hoffman, Payel Das, Pierre Dognin, Giuseppe Romano, Chinmay Hegde

2019

sampling, configuration design, mathematical optimization, computer science

Thanh V Nguyen, Youssef Mroueh, Samuel C. Hoffman, Payel Das, Pierre Dognin, Giuseppe Romano, Chinmay Hegde

2019

sampling, configuration design, mathematical optimization, computer science

Wasserstein Barycenter Model Ensembling

Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu

Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu

*ICLR: International Conference on Learning Representations*, 2019
Sobolev Independence Criterion

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

Abstract feature selection, joint probability distribution, random variable, convex optimization, artificial neural network, interpretability, kernel, parameterized complexity, algorithm, computer science

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

*arXiv preprint arXiv:1910.14212*, 2019Abstract feature selection, joint probability distribution, random variable, convex optimization, artificial neural network, interpretability, kernel, parameterized complexity, algorithm, computer science

Adversarial Semantic Alignment for Improved Image Captions

Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross and Tom Sercu

Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross and Tom Sercu

*CVPR: Conference on Computer Vision and Pattern Recognition*, 2019
Learning Implicit Generative Models by Matching Perceptual Features

Cicero Nogueira Dos Santos, Youssef Mroueh, Inkit Padhi, Pierre Dognin

Abstract transfer of learning, kernel, feature extraction, kernel, artificial intelligence, generative grammar, method of moments, convergence, computer science, perception

Cicero Nogueira Dos Santos, Youssef Mroueh, Inkit Padhi, Pierre Dognin

*2019 IEEE/CVF International Conference on Computer Vision (ICCV)*,*pp. 4460-4469*Abstract transfer of learning, kernel, feature extraction, kernel, artificial intelligence, generative grammar, method of moments, convergence, computer science, perception

Sobolev Descent

Youssef Mroueh, Tom Sercu, Anant Raj

Abstract sobolev space, regularization, convergence, artificial neural network, kernel, applied mathematics, parametrization, kinetic energy, mathematics, target distribution

Youssef Mroueh, Tom Sercu, Anant Raj

*The 22nd International Conference on Artificial Intelligence and Statistics*, 2019Abstract sobolev space, regularization, convergence, artificial neural network, kernel, applied mathematics, parametrization, kinetic energy, mathematics, target distribution

Implicit Kernel Learning

Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabas Poczos

Abstract supervised learning, kernel, machine learning, data driven, inference, computer science, sampling, generative grammar, spectral power distribution, parametrization, artificial intelligence

Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabas Poczos

*arXiv preprint arXiv:1902.10214*, 2019Abstract supervised learning, kernel, machine learning, data driven, inference, computer science, sampling, generative grammar, spectral power distribution, parametrization, artificial intelligence

Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces

David Alvarez-Melis, Youssef Mroueh, Tommi S. Jaakkola

hierarchy, theoretical computer science, computer science

David Alvarez-Melis, Youssef Mroueh, Tommi S. Jaakkola

*AISTATS*,*pp. 1606-1617*, 2019hierarchy, theoretical computer science, computer science

**2018**

Regularized Finite Dimensional Kernel Sobolev Discrepancy

Youssef Mroueh

Abstract sobolev space, approximation error, function space, kernel, feature vector, applied mathematics, computer science, statistical error

Youssef Mroueh

*arXiv preprint arXiv:1805.06441*, 2018Abstract sobolev space, approximation error, function space, kernel, feature vector, applied mathematics, computer science, statistical error

Improved Image Captioning with Adversarial Semantic Alignment

Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu

2018

Abstract closed captioning, discriminator, pattern recognition, computer science, gumbel distribution, correlation, judgement, adversarial system, artificial intelligence, semantic alignment

Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu

2018

Abstract closed captioning, discriminator, pattern recognition, computer science, gumbel distribution, correlation, judgement, adversarial system, artificial intelligence, semantic alignment

**2017**

Semi-Supervised Learning with IPM-based GANs: an Empirical Study

Sercu, Tom and Mroueh, Youssef

Sercu, Tom and Mroueh, Youssef

*NIPS 2017, workshop paper arXiv preprint arXiv:1712.02505*
Sobolev GAN

Mroueh, Youssef and Li, Chun-Liang and Sercu, Tom and Raj, Anant and Cheng, Yu

Mroueh, Youssef and Li, Chun-Liang and Sercu, Tom and Raj, Anant and Cheng, Yu

*Submitted to ICLR 2018,arXiv preprint arXiv:1711.04894*, 2017
Exploring ROI size in deep learning based lipreading

Koumparoulis, Alexandros and Potamianos, Gerasimos and Mroueh, Youssef and Rennie, Steven J

Koumparoulis, Alexandros and Potamianos, Gerasimos and Mroueh, Youssef and Rennie, Steven J

*AVSP 2017*
Local group invariant representations via orbit embeddings. preprint

Raj, Anant and Kumar, Abhishek and Mroueh, Youssef and Fletcher, P Thomas and Scholkopf, B

Raj, Anant and Kumar, Abhishek and Mroueh, Youssef and Fletcher, P Thomas and Scholkopf, B

*AISTATS*, 2017
Audio and visual modality combination in speech processing applications

Potamianos, Gerasimos and Marcheret, Etienne and Mroueh, Youssef and Goel, Vaibhava and Koumbaroulis, Alexandros and Vartholomaios, Argyrios and Thermos, Spyridon

Potamianos, Gerasimos and Marcheret, Etienne and Mroueh, Youssef and Goel, Vaibhava and Koumbaroulis, Alexandros and Vartholomaios, Argyrios and Thermos, Spyridon

*The Handbook of Multimodal-Multisensor Interfaces*,*pp. 489--543*, 2017
McGan: Mean and Covariance Feature Matching GAN

Mroueh, Youssef and Sercu, Tom and Goel, Vaibhava

Mroueh, Youssef and Sercu, Tom and Goel, Vaibhava

*ICML*, 2017
Self-critical sequence training for image captioning

Rennie, Steven J and Marcheret, Etienne and Mroueh, Youssef and Ross, Jarret and Goel, Vaibhava

Rennie, Steven J and Marcheret, Etienne and Mroueh, Youssef and Ross, Jarret and Goel, Vaibhava

*CVPR*, 2017
Co-Occurring Directions Sketching for Approximate Matrix Multiply

Mroueh, Youssef and Marcheret, Etienne and Goel, Vaibhava

Mroueh, Youssef and Marcheret, Etienne and Goel, Vaibhava

*AISTATS*, 2017**2016**

Co-Occuring Directions Sketching for Approximate Matrix Multiply

Youssef Mroueh, Etienne Marcheret, Vaibahava Goel

matrix multiplication, computer science, mathematical analysis

Youssef Mroueh, Etienne Marcheret, Vaibahava Goel

*Artificial Intelligence and Statistics*,*pp. 567-575*, 2016matrix multiplication, computer science, mathematical analysis

Local Group Invariant Representations via Orbit Embeddings

Raj, Anant and Kumar, Abhishek and Mroueh, Youssef and Fletcher, P Thomas and others

Abstract

Raj, Anant and Kumar, Abhishek and Mroueh, Youssef and Fletcher, P Thomas and others

*arXiv preprint arXiv:1612.01988*, 2016Abstract

Asymmetrically Weighted CCA And Hierarchical Kernel Sentence Embedding For Multimodal Retrieval

Mroueh, Youssef and Marcheret, Etienne and Goel, Vaibhava

Mroueh, Youssef and Marcheret, Etienne and Goel, Vaibhava

*arXiv preprint arXiv:1511.06267*, 2016**2015**

Asymmetrically Weighted CCA And Hierarchical Kernel Sentence Embedding For Image & Text Retrieval

Youssef Mroueh, Etienne Marcheret, Vaibhava Goel

Abstract kernel, embedding, weighting, sentence, model selection, canonical correlation, pattern recognition, vector space, computer science, artificial intelligence, text retrieval

Youssef Mroueh, Etienne Marcheret, Vaibhava Goel

*arXiv preprint arXiv:1511.06267*, 2015Abstract kernel, embedding, weighting, sentence, model selection, canonical correlation, pattern recognition, vector space, computer science, artificial intelligence, text retrieval

Convex learning of multiple tasks and their structure

Ciliberto, Carlo and Mroueh, Youssef and Poggio, Tomaso and Rosasco, Lorenzo

Ciliberto, Carlo and Mroueh, Youssef and Poggio, Tomaso and Rosasco, Lorenzo

*International Conference on Machine Learning*,*pp. 1548--1557*, 2015
Deep multimodal learning for audio-visual speech recognition

Mroueh, Youssef and Marcheret, Etienne and Goel, Vaibhava

Mroueh, Youssef and Marcheret, Etienne and Goel, Vaibhava

*Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on*,*pp. 2130--2134*
Learning with Group Invariant Features: A Kernel Perspective.

Mroueh, Youssef and Voinea, Stephen and Poggio, Tomaso A

Mroueh, Youssef and Voinea, Stephen and Poggio, Tomaso A

*Advances in Neural Information Processing Systems*,*pp. 1558--1566*, 2015**2014**

On efficiency and low sample complexity in phase retrieval

Mroueh, Youssef and Rosasco, Lorenzo

Mroueh, Youssef and Rosasco, Lorenzo

*Information Theory (ISIT), 2014 IEEE International Symposium on*,*pp. 931--935*
Robust Phase Retrieval and Super-Resolution from One Bit Coded Diffraction Patterns

Mroueh, Youssef

Mroueh, Youssef

*arXiv preprint arXiv:1402.2255*, 2014**2013**

Quantization and greed are good: One bit phase retrieval, robustness and greedy refinements

Mroueh, Youssef and Rosasco, Lorenzo

Mroueh, Youssef and Rosasco, Lorenzo

*arXiv preprint arXiv:1312.1830*, 2013
Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines?

Liao, Qianli and Leibo, Joel Z and Mroueh, Youssef and Poggio, Tomaso

Liao, Qianli and Leibo, Joel Z and Mroueh, Youssef and Poggio, Tomaso

*arXiv preprint arXiv:1311.4082*, 2013**2012**

Multiclass learning with simplex coding

Mroueh, Youssef and Poggio, Tomaso and Rosasco, Lorenzo and Slotine, Jean-Jeacques

Mroueh, Youssef and Poggio, Tomaso and Rosasco, Lorenzo and Slotine, Jean-Jeacques

*Advances in Neural Information Processing Systems*,*pp. 2789--2797*, 2012**2011**

Multi-category and taxonomy learning: A regularization approach

Mroueh, Youssef and Poggio, Tomaso and Rosasco, Lorenzo

Mroueh, Youssef and Poggio, Tomaso and Rosasco, Lorenzo

*NIPS Workshop on Challenges in Learning Hierarchical Models: Transfer Learning and Optimization*, 2011
Regularization Predicts While Discovering Taxonomy

Mroueh, Youssef and Poggio, Tomaso and Rosasco, Lorenzo

Mroueh, Youssef and Poggio, Tomaso and Rosasco, Lorenzo

*CVPR workshop*, 2011