Youssef Mroueh 
contact information
Research Staff MemberThomas 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
NeurIPS, 2020
Liu, M., Mroueh, Y., Zhang, W., Cui, X., Yang, T. and Das, P
NeurIPS, 2020
Unbalanced Sobolev Descent
Youssef Mroueh, Mattia Rigotti
arXiv preprint arXiv:2009.14148, 2020
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, 2020
Abstract 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
arXiv preprint arXiv:2006.11166, 2020
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, 2020
Abstract 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
arXiv preprint arXiv:2002.00107, 2020
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, 2020
Abstract 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
arXiv preprint arXiv:2008.12649, 2020
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, 2020
Abstract 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
arXiv preprint arXiv:2007.03074, 2020
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, 2020
Abstract 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
ICLR 2020 Workshop on Integration of Deep Neural Models and Differential Equations
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
International Conference on Learning Representations (ICLR), 2020
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
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP, Lecture Session)
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
ICLR: International Conference on Learning Representations, 2019
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
arXiv preprint arXiv:1910.14212, 2019
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, 2019
Abstract 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
CVPR: Conference on Computer Vision and Pattern Recognition, 2019
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
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
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
The 22nd International Conference on Artificial Intelligence and Statistics, 2019
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, 2019
Abstract 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
arXiv preprint arXiv:1902.10214, 2019
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, 2019
Abstract 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
AISTATS, pp. 1606-1617, 2019
hierarchy, theoretical computer science, computer science
David Alvarez-Melis, Youssef Mroueh, Tommi S. Jaakkola
AISTATS, pp. 1606-1617, 2019
hierarchy, theoretical computer science, computer science
2018
Regularized Finite Dimensional Kernel Sobolev Discrepancy
Youssef Mroueh
arXiv preprint arXiv:1805.06441, 2018
Abstract sobolev space, approximation error, function space, kernel, feature vector, applied mathematics, computer science, statistical error
Youssef Mroueh
arXiv preprint arXiv:1805.06441, 2018
Abstract 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
NIPS 2017, workshop paper arXiv preprint arXiv:1712.02505
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
Submitted to ICLR 2018,arXiv preprint arXiv:1711.04894, 2017
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
AVSP 2017
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
AISTATS, 2017
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
The Handbook of Multimodal-Multisensor Interfaces, pp. 489--543, 2017
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
ICML, 2017
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
CVPR, 2017
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
AISTATS, 2017
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
Artificial Intelligence and Statistics, pp. 567-575, 2016
matrix multiplication, computer science, mathematical analysis
Youssef Mroueh, Etienne Marcheret, Vaibahava Goel
Artificial Intelligence and Statistics, pp. 567-575, 2016
matrix 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
arXiv preprint arXiv:1612.01988, 2016
Abstract
Raj, Anant and Kumar, Abhishek and Mroueh, Youssef and Fletcher, P Thomas and others
arXiv preprint arXiv:1612.01988, 2016
Abstract
Asymmetrically Weighted CCA And Hierarchical Kernel Sentence Embedding For Multimodal Retrieval
Mroueh, Youssef and Marcheret, Etienne and Goel, Vaibhava
arXiv preprint arXiv:1511.06267, 2016
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
arXiv preprint arXiv:1511.06267, 2015
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, 2015
Abstract 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
International Conference on Machine Learning, pp. 1548--1557, 2015
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
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on, pp. 2130--2134
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
Advances in Neural Information Processing Systems, pp. 1558--1566, 2015
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
Information Theory (ISIT), 2014 IEEE International Symposium on, pp. 931--935
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
arXiv preprint arXiv:1402.2255, 2014
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
arXiv preprint arXiv:1312.1830, 2013
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
arXiv preprint arXiv:1311.4082, 2013
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
Advances in Neural Information Processing Systems, pp. 2789--2797, 2012
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
NIPS Workshop on Challenges in Learning Hierarchical Models: Transfer Learning and Optimization, 2011
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
CVPR workshop, 2011
Mroueh, Youssef and Poggio, Tomaso and Rosasco, Lorenzo
CVPR workshop, 2011