Publications

David Alvarez-Melis, Youssef Mroueh, Tommi Jaakkola (2020). Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces.

(2020). ACM Books - Article/Chapter View.

Youssef Mroueh, Mattia Rigotti (2020). Unbalanced Sobolev Descent. NeurIPS 2020.

Raphaël Pestourie, Youssef Mroueh, Thanh V. Nguyen, Payel Das, Steven G. Johnson (2020). Active learning of deep surrogates for PDEs: application to metasurface design. npj Computational Materials.

Mingrui Liu, Wei Zhang, Youssef Mroueh, Xiaodong Cui, Jerret Ross, Tianbao Yang, Payel Das (2020). A Decentralized Parallel Algorithm for Training Generative Adversarial Nets. arXiv:1910.12999 [cs, math].

Youssef Mroueh, Mattia Rigotti (2020). Unbalanced Sobolev Descent. arXiv:2009.14148 [cs, stat].

Wei-Cheng Chang, Chun-Liang Li, Youssef Mroueh, Yiming Yang (2020). Kernel Stein Generative Modeling. arXiv:2007.03074 [cs, stat].

Youssef Mroueh (2020). Wasserstein Style Transfer. International Conference on Artificial Intelligence and Statistics.

Adam Block, Youssef Mroueh, Alexander Rakhlin (2020). Generative Modeling with Denoising Auto-Encoders and Langevin Sampling. arXiv:2002.00107 [cs, math, stat].

Adam Block, Youssef Mroueh, Alexander Rakhlin, Jerret Ross (2020). Fast Mixing of Multi-Scale Langevin Dynamics under the Manifold Hypothesis. arXiv:2006.11166 [cs, stat].

Inkit Padhi, Pierre Dognin, Ke Bai, Cicero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das (2020). Learning Implicit Text Generation via Feature Matching. arXiv:2005.03588 [cs].

W. Zhang, X. Cui, A. Kayi, M. Liu, U. Finkler, B. Kingsbury, G. Saon, Y. Mroueh, A. Buyuktosunoglu, P. Das, D. Kung, M. Picheny (2020). Improving Efficiency in Large-Scale Decentralized Distributed Training. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Youssef Mroueh, Tom Sercu (2020). Transforming source distribution to target distribution using sobolev descent.

Thanh V. Nguyen, Youssef Mroueh, Samuel Hoffman, Payel Das, Pierre Dognin, Giuseppe Romano, Chinmay Hegde (2020). Nano-Material Configuration Design with Deep Surrogate Langevin Dynamics.

Mingrui Liu, Youssef Mroueh, Jerret Ross, Wei Zhang, Xiaodong Cui, Payel Das, Tianbao Yang (2019). Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets.

Thanh V. Nguyen, Youssef Mroueh, Samuel C. Hoffman, Payel Das, Pierre Dognin, Giuseppe Romano, Chinmay Hegde (2019). Surrogate-Based Constrained Langevin Sampling With Applications to Optimal Material Configuration Design.

Youssef Mroueh, Igor Melnyk, Pierre Dognin, Jerret Ross, Tom Sercu (2019). Improved Mutual Information Estimation.

Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu (2019). Adversarial Semantic Alignment for Improved Image Captions. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, Vaibhava Goel, Jarret Ross*, Pierre L. Dognin (2019). Self-critical sequence training of multimodal systems.

Youssef Mroueh, Tom Sercu, Anant Raj (2019). Sobolev Descent. The 22nd International Conference on Artificial Intelligence and Statistics.

Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabás Póczos (2019). Implicit Kernel Learning. AISTATS, arXiv:1902.10214 [cs, stat].

Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cicero Nogueira dos Santos (2019). Sobolev Independence Criterion. Advances in Neural Information Processing Systems 32.

Cicero Nogueira dos Santos, Youssef Mroueh, Inkit Padhi, Pierre Dognin (2019). Learning Implicit Generative Models by Matching Perceptual Features.

Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross*, Cicero Dos Santos*, Tom Sercu (2018). Wasserstein Barycenter Model Ensembling.

Youssef Mroueh (2018). Regularized Finite Dimensional Kernel Sobolev Discrepancy. arXiv:1805.06441 [cs, stat].

Tom Sercu, Youssef Mroueh (2017). Semi-Supervised Learning with IPM-based GANs: an Empirical Study. arXiv:1712.02505 [cs].

Youssef Mroueh, Chun-Liang Li, Tom Sercu, Anant Raj, Yu Cheng (2017). Sobolev GAN. arXiv:1711.04894 [cs, stat].

Alexandros Koumparoulis, Gerasimos Potamianos, Youssef Mroueh, Steven J. Rennie (2017). Exploring ROI size in deep learning based lipreading. The 14th International Conference on Auditory-Visual Speech Processing.

Youssef Mroueh, Tom Sercu, Vaibhava Goel (2017). McGan: Mean and Covariance Feature Matching GAN. International Conference on Machine Learning.

Anant Raj, Abhishek Kumar, Youssef Mroueh, Tom Fletcher, Bernhard Schoelkopf (2017). Local Group Invariant Representations via Orbit Embeddings. Artificial Intelligence and Statistics.

Youssef Mroueh, Etienne Marcheret, Vaibahava Goel (2017). Co-Occurring Directions Sketching for Approximate Matrix Multiply. Artificial Intelligence and Statistics.

Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, Jerret Ross, Vaibhava Goel (2017). Self-Critical Sequence Training for Image Captioning.

Youssef Mroueh, Tom Sercu (2017). Fisher GAN. Advances in Neural Information Processing Systems 30.

Youssef Mroueh, Etienne Marcheret, Vaibhava Goel (2016). Asymmetrically Weighted CCA And Hierarchical Kernel Sentence Embedding For Image & Text Retrieval. arXiv:1511.06267 [cs].

Carlo Ciliberto, Youssef Mroueh, Tomaso Poggio, Lorenzo Rosasco (2015). Convex Learning of Multiple Tasks and their Structure. ICML , arXiv:1504.03101 [cs].

Youssef Mroueh, Stephen Voinea, Tomaso A Poggio (2015). Learning with Group Invariant Features: A Kernel Perspective.. Advances in Neural Information Processing Systems 28.

Youssef Mroueh, Etienne Marcheret, Vaibhava Goel (2015). Deep Multimodal Learning for Audio-Visual Speech Recognition. ICASSP, arXiv:1501.05396 [cs].

Y. Mroueh, L. Rosasco (2014). On efficiency and low sample complexity in phase retrieval. 2014 IEEE International Symposium on Information Theory.

Youssef Mroueh (2014). Robust Phase Retrieval and Super-Resolution from One Bit Coded Diffraction Patterns. arXiv:1402.2255 [cs, math, stat].

Qianli Liao, Joel Z. Leibo, Youssef Mroueh, Tomaso Poggio (2014). Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines?. arXiv:1311.4082 [cs].

Youssef Mroueh, Lorenzo Rosasco (2013). Quantization and Greed are Good: One bit Phase Retrieval, Robustness and Greedy Refinements. arXiv:1312.1830 [cs, math, stat].

Youssef Mroueh, Lorenzo Rosasco (2013). q-ary Compressive Sensing. arXiv:1302.5168 [cs, math, stat].

Youssef Mroueh, Tomaso Poggio, Lorenzo Rosasco, Jean-jeacques Slotine (2012). Multiclass Learning with Simplex Coding. Advances in Neural Information Processing Systems 25.