default search action
Youssef Mroueh
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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
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
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge. J. Artif. Intell. Res. 73: 437-459 (2022) - [j2]Jerret Ross
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
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
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
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-14 00:52 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: