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Youssef Mroueh
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2020 – today
- 2024
- [c37]Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan H. Greenewald, Brian Belgodere, Mikhail Yurochkin, Jirí Navrátil, Igor Melnyk, Jarret Ross:
Risk Aware Benchmarking of Large Language Models. ICML 2024 - [i58]Jerret Ross, Brian Belgodere, Samuel C. Hoffman, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das:
GP-MoLFormer: A Foundation Model For Molecular Generation. CoRR abs/2405.04912 (2024) - [i57]Igor Melnyk, Youssef Mroueh, Brian Belgodere, Mattia Rigotti, Apoorva Nitsure, Mikhail Yurochkin, Kristjan H. Greenewald, Jirí Navrátil, Jerret Ross:
Distributional Preference Alignment of LLMs via Optimal Transport. CoRR abs/2406.05882 (2024) - [i56]Youssef Mroueh:
Information Theoretic Guarantees For Policy Alignment In Large Language Models. CoRR abs/2406.05883 (2024) - [i55]Gabriel Rioux, Apoorva Nitsure, Mattia Rigotti, Kristjan H. Greenewald, Youssef Mroueh:
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking. CoRR abs/2406.06425 (2024) - [i54]Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel:
Large Language Models can be Strong Self-Detoxifiers. CoRR abs/2410.03818 (2024) - 2023
- [j4]Raphaël Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson:
Physics-enhanced deep surrogates for partial differential equations. Nat. Mac. Intell. 5(12): 1458-1465 (2023) - [c36]Carles Domingo-Enrich, Yair Schiff, Youssef Mroueh:
Learning with Stochastic Orders. ICLR 2023 - [i53]Brian Belgodere, Pierre L. Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jirí Navrátil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young:
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs. CoRR abs/2304.10819 (2023) - [i52]Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan H. Greenewald, Brian Belgodere, Mikhail Yurochkin, Jirí Navrátil, Igor Melnyk, Jerret Ross:
Risk Assessment and Statistical Significance in the Age of Foundation Models. CoRR abs/2310.07132 (2023) - 2022
- [j3]Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere:
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge. J. Artif. Intell. Res. 73: 437-459 (2022) - [j2]Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan, Inkit Padhi, Youssef Mroueh, Payel Das:
Large-scale chemical language representations capture molecular structure and properties. Nat. Mac. Intell. 4(12): 1256-1264 (2022) - [j1]David Alvarez-Melis, Yair Schiff, Youssef Mroueh:
Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks. Trans. Mach. Learn. Res. 2022 (2022) - [c35]Zhengxin Zhang, Youssef Mroueh, Ziv Goldfeld, Bharath K. Sriperumbudur:
Cycle Consistent Probability Divergences Across Different Spaces. AISTATS 2022: 7257-7285 - [c34]Carles Domingo-Enrich, Youssef Mroueh:
Tighter Sparse Approximation Bounds for ReLU Neural Networks. ICLR 2022 - [c33]Brian Belgodere, Vijil Chenthamarakshan, Payel Das, Pierre L. Dognin, Toby Kurien, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young:
Cloud-Based Real-Time Molecular Screening Platform with MolFormer. ECML/PKDD (6) 2022: 641-644 - [i51]Carles Domingo-Enrich, Yair Schiff, Youssef Mroueh:
Learning with Stochastic Orders. CoRR abs/2205.13684 (2022) - [i50]Carles Domingo-Enrich, Youssef Mroueh:
Auditing Differential Privacy in High Dimensions with the Kernel Quantum Rényi Divergence. CoRR abs/2205.13941 (2022) - [i49]Brian Belgodere, Vijil Chenthamarakshan, Payel Das, Pierre L. Dognin, Toby Kurien, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young:
Cloud-Based Real-Time Molecular Screening Platform with MolFormer. CoRR abs/2208.06665 (2022) - [i48]Steven Durr, Youssef Mroueh, Yuhai Tu, Shenshen Wang:
Effective Dynamics of Generative Adversarial Networks. CoRR abs/2212.04580 (2022) - 2021
- [c32]Youssef Mroueh, Igor Melnyk, Pierre L. Dognin, Jarret Ross, Tom Sercu:
Improved Mutual Information Estimation. AAAI 2021: 9009-9017 - [c31]Youssef Mroueh, Truyen Nguyen:
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow. AISTATS 2021: 1720-1728 - [c30]Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik R. Altman:
Tabular Transformers for Modeling Multivariate Time Series. ICASSP 2021: 3565-3569 - [c29]Ching-Yao Chuang, Youssef Mroueh:
Fair Mixup: Fairness via Interpolation. ICLR 2021 - [c28]Ching-Yao Chuang, Youssef Mroueh, Kristjan H. Greenewald, Antonio Torralba, Stefanie Jegelka:
Measuring Generalization with Optimal Transport. NeurIPS 2021: 8294-8306 - [c27]Carles Domingo-Enrich, Youssef Mroueh:
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics. NeurIPS 2021: 19248-19260 - [i47]Ching-Yao Chuang, Youssef Mroueh:
Fair Mixup: Fairness via Interpolation. CoRR abs/2103.06503 (2021) - [i46]David Alvarez-Melis, Yair Schiff, Youssef Mroueh:
Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks. CoRR abs/2106.00774 (2021) - [i45]Ching-Yao Chuang, Youssef Mroueh, Kristjan H. Greenewald, Antonio Torralba, Stefanie Jegelka:
Measuring Generalization with Optimal Transport. CoRR abs/2106.03314 (2021) - [i44]Carles Domingo-Enrich, Youssef Mroueh:
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics. CoRR abs/2106.05739 (2021) - [i43]Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan, Inkit Padhi, Youssef Mroueh, Payel Das:
Do Large Scale Molecular Language Representations Capture Important Structural Information? CoRR abs/2106.09553 (2021) - [i42]Carles Domingo-Enrich, Youssef Mroueh:
Tighter Sparse Approximation Bounds for ReLU Neural Networks. CoRR abs/2110.03673 (2021) - [i41]Raphaël Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson:
Physics-enhanced deep surrogates for PDEs. CoRR abs/2111.05841 (2021) - [i40]Zhengxin Zhang, Youssef Mroueh, Ziv Goldfeld, Bharath K. Sriperumbudur:
Cycle Consistent Probability Divergences Across Different Spaces. CoRR abs/2111.11328 (2021) - 2020
- [c26]Inkit Padhi, Pierre L. Dognin, Ke Bai, Cícero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das:
Learning Implicit Text Generation via Feature Matching. ACL 2020: 3855-3863 - [c25]Youssef Mroueh:
Wasserstein Style Transfer. AISTATS 2020: 842-852 - [c24]David Alvarez-Melis, Youssef Mroueh, Tommi S. Jaakkola:
Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces. AISTATS 2020: 1606-1617 - [c23]Wei Zhang, Xiaodong Cui, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, Youssef Mroueh, Alper Buyuktosunoglu, Payel Das, David S. Kung, Michael Picheny:
Improving Efficiency in Large-Scale Decentralized Distributed Training. ICASSP 2020: 3022-3026 - [c22]Mingrui Liu, Youssef Mroueh, Jerret Ross, Wei Zhang, Xiaodong Cui, Payel Das, Tianbao Yang:
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets. ICLR 2020 - [c21]Mingrui Liu, Wei Zhang, Youssef Mroueh, Xiaodong Cui, Jarret Ross, Tianbao Yang, Payel Das:
A Decentralized Parallel Algorithm for Training Generative Adversarial Nets. NeurIPS 2020 - [c20]Youssef Mroueh, Mattia Rigotti:
Unbalanced Sobolev Descent. NeurIPS 2020 - [i39]Adam Block, Youssef Mroueh, Alexander Rakhlin:
Generative Modeling with Denoising Auto-Encoders and Langevin Sampling. CoRR abs/2002.00107 (2020) - [i38]Wei Zhang, Xiaodong Cui, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, Youssef Mroueh, Alper Buyuktosunoglu, Payel Das, David S. Kung, Michael Picheny:
Improving Efficiency in Large-Scale Decentralized Distributed Training. CoRR abs/2002.01119 (2020) - [i37]Inkit Padhi, Pierre L. Dognin, Ke Bai, Cícero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das:
Learning Implicit Text Generation via Feature Matching. CoRR abs/2005.03588 (2020) - [i36]Adam Block, Youssef Mroueh, Alexander Rakhlin, Jerret Ross:
Fast Mixing of Multi-Scale Langevin Dynamics under the Manifold Hypothesis. CoRR abs/2006.11166 (2020) - [i35]Wei-Cheng Chang, Chun-Liang Li, Youssef Mroueh, Yiming Yang:
Kernel Stein Generative Modeling. CoRR abs/2007.03074 (2020) - [i34]Raphaël Pestourie, Youssef Mroueh, Thanh V. Nguyen, Payel Das, Steven G. Johnson:
Active learning of deep surrogates for PDEs: Application to metasurface design. CoRR abs/2008.12649 (2020) - [i33]Youssef Mroueh, Mattia Rigotti:
Unbalanced Sobolev Descent. CoRR abs/2009.14148 (2020) - [i32]Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik R. Altman:
Tabular Transformers for Modeling Multivariate Time Series. CoRR abs/2011.01843 (2020) - [i31]Youssef Mroueh, Truyen Nguyen:
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow. CoRR abs/2011.02402 (2020) - [i30]Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff:
Alleviating Noisy Data in Image Captioning with Cooperative Distillation. CoRR abs/2012.11691 (2020) - [i29]Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere:
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge. CoRR abs/2012.11696 (2020)
2010 – 2019
- 2019
- [c19]Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabás Póczos:
Implicit Kernel Learning. AISTATS 2019: 2007-2016 - [c18]Youssef Mroueh, Tom Sercu, Anant Raj:
Sobolev Descent. AISTATS 2019: 2976-2985 - [c17]Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu:
Adversarial Semantic Alignment for Improved Image Captions. CVPR 2019: 10463-10471 - [c16]Cícero Nogueira dos Santos, Youssef Mroueh, Inkit Padhi, Pierre L. Dognin:
Learning Implicit Generative Models by Matching Perceptual Features. ICCV 2019: 4460-4469 - [c15]Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu:
Improved Adversarial Image Captioning. DGS@ICLR 2019 - [c14]Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Cícero Nogueira dos Santos, Tom Sercu:
Wasserstein Barycenter Model Ensembling. ICLR (Poster) 2019 - [c13]Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cícero Nogueira dos Santos:
Sobolev Independence Criterion. NeurIPS 2019: 9505-9515 - [i28]Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Cícero Nogueira dos Santos, Tom Sercu:
Wasserstein Barycenter Model Ensembling. CoRR abs/1902.04999 (2019) - [i27]Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabás Póczos:
Implicit Kernel Learning. CoRR abs/1902.10214 (2019) - [i26]Cícero Nogueira dos Santos, Youssef Mroueh, Inkit Padhi, Pierre L. Dognin:
Learning Implicit Generative Models by Matching Perceptual Features. CoRR abs/1904.02762 (2019) - [i25]Youssef Mroueh:
Wasserstein Style Transfer. CoRR abs/1905.12828 (2019) - [i24]Mingrui Liu, Youssef Mroueh, Wei Zhang, Xiaodong Cui, Jerret Ross, Tianbao Yang, Payel Das:
Decentralized Parallel Algorithm for Training Generative Adversarial Nets. CoRR abs/1910.12999 (2019) - [i23]Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cícero Nogueira dos Santos:
Sobolev Independence Criterion. CoRR abs/1910.14212 (2019) - [i22]David Alvarez-Melis, Youssef Mroueh, Tommi S. Jaakkola:
Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces. CoRR abs/1911.02536 (2019) - [i21]Mingrui Liu, Youssef Mroueh, Jerret Ross, Wei Zhang, Xiaodong Cui, Payel Das, Tianbao Yang:
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets. CoRR abs/1912.11940 (2019) - 2018
- [c12]Youssef Mroueh, Chun-Liang Li, Tom Sercu, Anant Raj, Yu Cheng:
Sobolev GAN. ICLR (Poster) 2018 - [i20]Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu:
Improved Image Captioning with Adversarial Semantic Alignment. CoRR abs/1805.00063 (2018) - [i19]Youssef Mroueh:
Regularized Finite Dimensional Kernel Sobolev Discrepancy. CoRR abs/1805.06441 (2018) - [i18]Youssef Mroueh, Tom Sercu, Anant Raj:
Regularized Kernel and Neural Sobolev Descent: Dynamic MMD Transport. CoRR abs/1805.12062 (2018) - 2017
- [c11]Youssef Mroueh, Etienne Marcheret, Vaibhava Goel:
Co-Occurring Directions Sketching for Approximate Matrix Multiply. AISTATS 2017: 567-575 - [c10]Anant Raj, Abhishek Kumar, Youssef Mroueh, Tom Fletcher, Bernhard Schölkopf:
Local Group Invariant Representations via Orbit Embeddings. AISTATS 2017: 1225-1235 - [c9]Alexandros Koumparoulis, Gerasimos Potamianos, Youssef Mroueh, Steven J. Rennie:
Exploring ROI size in deep learning based lipreading. AVSP 2017: 64-69 - [c8]Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, Jerret Ross, Vaibhava Goel:
Self-Critical Sequence Training for Image Captioning. CVPR 2017: 1179-1195 - [c7]Youssef Mroueh, Tom Sercu, Vaibhava Goel:
McGan: Mean and Covariance Feature Matching GAN. ICML 2017: 2527-2535 - [c6]Youssef Mroueh, Tom Sercu:
Fisher GAN. NIPS 2017: 2513-2523 - [p1]Gerasimos Potamianos, Etienne Marcheret, Youssef Mroueh, Vaibhava Goel, Alexandros Koumbaroulis, Argyrios Vartholomaios, Spyridon Thermos:
Audio and visual modality combination in speech processing applications. The Handbook of Multimodal-Multisensor Interfaces, Volume 1 (1) 2017: 489-543 - [i17]Youssef Mroueh, Tom Sercu, Vaibhava Goel:
McGan: Mean and Covariance Feature Matching GAN. CoRR abs/1702.08398 (2017) - [i16]Youssef Mroueh, Tom Sercu:
Fisher GAN. CoRR abs/1705.09675 (2017) - [i15]Youssef Mroueh, Chun-Liang Li, Tom Sercu, Anant Raj, Yu Cheng:
Sobolev GAN. CoRR abs/1711.04894 (2017) - [i14]Tom Sercu, Youssef Mroueh:
Semi-Supervised Learning with IPM-based GANs: an Empirical Study. CoRR abs/1712.02505 (2017) - 2016
- [i13]Youssef Mroueh, Etienne Marcheret, Vaibhava Goel:
Co-Occuring Directions Sketching for Approximate Matrix Multiply. CoRR abs/1610.07686 (2016) - [i12]Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, Jerret Ross, Vaibhava Goel:
Self-critical Sequence Training for Image Captioning. CoRR abs/1612.00563 (2016) - [i11]Anant Raj, Abhishek Kumar, Youssef Mroueh, P. Thomas Fletcher, Bernhard Schölkopf:
Local Group Invariant Representations via Orbit Embeddings. CoRR abs/1612.01988 (2016) - 2015
- [b1]Youssef Mroueh:
From bits to information: learning meets compressive sensing. Massachusetts Institute of Technology, Cambridge, MA, USA, 2015 - [c5]Youssef Mroueh, Etienne Marcheret, Vaibhava Goel:
Deep multimodal learning for Audio-Visual Speech Recognition. ICASSP 2015: 2130-2134 - [c4]Carlo Ciliberto, Youssef Mroueh, Tomaso A. Poggio, Lorenzo Rosasco:
Convex Learning of Multiple Tasks and their Structure. ICML 2015: 1548-1557 - [c3]Youssef Mroueh, Stephen Voinea, Tomaso A. Poggio:
Learning with Group Invariant Features: A Kernel Perspective. NIPS 2015: 1558-1566 - [i10]Youssef Mroueh, Etienne Marcheret, Vaibhava Goel:
Deep Multimodal Learning for Audio-Visual Speech Recognition. CoRR abs/1501.05396 (2015) - [i9]Carlo Ciliberto, Youssef Mroueh, Tomaso A. Poggio, Lorenzo Rosasco:
Convex Learning of Multiple Tasks and their Structure. CoRR abs/1504.03101 (2015) - [i8]Youssef Mroueh, Stephen Voinea, Tomaso A. Poggio:
Learning with Group Invariant Features: A Kernel Perspective. CoRR abs/1506.02544 (2015) - [i7]Youssef Mroueh, Steven J. Rennie, Vaibhava Goel:
Random Maxout Features. CoRR abs/1506.03705 (2015) - [i6]Youssef Mroueh, Etienne Marcheret, Vaibhava Goel:
Multimodal Retrieval With Asymmetrically Weighted Truncated-SVD Canonical Correlation Analysis. CoRR abs/1511.06267 (2015) - 2014
- [c2]Youssef Mroueh, Lorenzo Rosasco:
On efficiency and low sample complexity in phase retrieval. ISIT 2014: 931-935 - [i5]Youssef Mroueh:
Robust Phase Retrieval and Super-Resolution from One Bit Coded Diffraction Patterns. CoRR abs/1402.2255 (2014) - 2013
- [i4]Youssef Mroueh, Lorenzo Rosasco:
q-ary Compressive Sensing. CoRR abs/1302.5168 (2013) - [i3]Qianli Liao, Joel Z. Leibo, Youssef Mroueh, Tomaso A. Poggio:
Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines? CoRR abs/1311.4082 (2013) - [i2]Youssef Mroueh, Lorenzo Rosasco:
Quantization and Greed are Good: One bit Phase Retrieval, Robustness and Greedy Refinements. CoRR abs/1312.1830 (2013) - 2012
- [c1]Youssef Mroueh, Tomaso A. Poggio, Lorenzo Rosasco, Jean-Jacques E. Slotine:
Multiclass Learning with Simplex Coding. NIPS 2012: 2798-2806 - [i1]Youssef Mroueh, Tomaso A. Poggio, Lorenzo Rosasco, Jean-Jacques E. Slotine:
Multiclass Learning with Simplex Coding. CoRR abs/1209.1360 (2012)
Coauthor Index
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