Multiclass Learning with Simplex Coding. - Youssef Mroueh; Tomaso A. Poggio; Lorenzo Rosasco; Jean-Jacques E. Slotine (NIPS, 2012)

Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines? - Qianli Liao; Joel Z. Leibo; Youssef Mroueh; Tomaso A. Poggio (CoRR, 2013)

Quantization and Greed are Good: One bit Phase Retrieval, Robustness and Greedy Refinements. - Youssef Mroueh; Lorenzo Rosasco (CoRR, 2013)

q-ary Compressive Sensing - Youssef Mroueh; Lorenzo Rosasco (CoRR, 2013)

On efficiency and low sample complexity in phase retrieval. - Youssef Mroueh; Lorenzo Rosasco (ISIT, 2014)

Robust Phase Retrieval and Super-Resolution from One Bit Coded Diffraction Patterns. - Youssef Mroueh (CoRR, 2014)

Deep multimodal learning for Audio-Visual Speech Recognition. - Youssef Mroueh; Etienne Marcheret; Vaibhava Goel (ICASSP, 2015)

Convex Learning of Multiple Tasks and their Structure. - Carlo Ciliberto; Youssef Mroueh; Tomaso A. Poggio; Lorenzo Rosasco (ICML, 2015)

Learning with Group Invariant Features: A Kernel Perspective. - Youssef Mroueh; Stephen Voinea; Tomaso A. Poggio (NIPS, 2015)

Multimodal Retrieval With Asymmetrically Weighted Truncated-SVD Canonical Correlation Analysis. - Youssef Mroueh; Etienne Marcheret; Vaibhava Goel (CoRR, 2015)

Random Maxout Features. - Youssef Mroueh; Steven J. Rennie; Vaibhava Goel (CoRR, 2015)

From bits to information: learning meets compressive sensing. - Youssef Mroueh (2015)

Co-Occuring Directions Sketching for Approximate Matrix Multiply. - Youssef Mroueh; Etienne Marcheret; Vaibhava Goel (CoRR, 2016)

Audio and visual modality combination in speech processing applications. - Gerasimos Potamianos; Etienne Marcheret; Youssef Mroueh; Vaibhava Goel; Alexandros Koumbaroulis; Argyrios Vartholomaios; Spyridon Thermos (The Handbook of Multimodal-Multisensor Interfaces, Volume 1 (1), 2017)

Co-Occurring Directions Sketching for Approximate Matrix Multiply. - Youssef Mroueh; Etienne Marcheret; Vaibhava Goel (AISTATS, 2017)

Local Group Invariant Representations via Orbit Embeddings. - Anant Raj; Abhishek Kumar 001; Youssef Mroueh; Tom Fletcher; Bernhard Schölkopf (AISTATS, 2017)

Exploring ROI size in deep learning based lipreading. - Alexandros Koumparoulis; Gerasimos Potamianos; Youssef Mroueh; Steven J. Rennie (AVSP, 2017)

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

McGan: Mean and Covariance Feature Matching GAN. - Youssef Mroueh; Tom Sercu; Vaibhava Goel (ICML, 2017)

Fisher GAN. - Youssef Mroueh; Tom Sercu (NIPS, 2017)

Semi-Supervised Learning with IPM-based GANs: an Empirical Study. - Tom Sercu; Youssef Mroueh (CoRR, 2017)

Sobolev GAN. - Youssef Mroueh; Chun-Liang Li; Tom Sercu; Anant Raj; Yu Cheng (ICLR (Poster), 2018)

Improved Image Captioning with Adversarial Semantic Alignment. - Pierre L. Dognin; Igor Melnyk; Youssef Mroueh; Jerret Ross; Tom Sercu (CoRR, 2018)

Regularized Finite Dimensional Kernel Sobolev Discrepancy. - Youssef Mroueh (CoRR, 2018)

Regularized Kernel and Neural Sobolev Descent: Dynamic MMD Transport. - Youssef Mroueh; Tom Sercu; Anant Raj (CoRR, 2018)

Implicit Kernel Learning. - Chun-Liang Li; Wei-Cheng Chang; Youssef Mroueh; Yiming Yang; Barnabás Póczos (AISTATS, 2019)

Sobolev Descent. - Youssef Mroueh; Tom Sercu; Anant Raj (AISTATS, 2019)

Adversarial Semantic Alignment for Improved Image Captions. - Pierre L. Dognin; Igor Melnyk; Youssef Mroueh; Jerret Ross; Tom Sercu (CVPR, 2019)

Learning Implicit Generative Models by Matching Perceptual Features. - Cícero Nogueira dos Santos; Youssef Mroueh; Inkit Padhi; Pierre L. Dognin (ICCV, 2019)

Improved Adversarial Image Captioning. - Pierre L. Dognin; Igor Melnyk; Youssef Mroueh; Jerret Ross; Tom Sercu (DGS@ICLR, 2019)

Wasserstein Barycenter Model Ensembling. - Pierre L. Dognin; Igor Melnyk; Youssef Mroueh; Jerret Ross; Cícero Nogueira dos Santos; Tom Sercu (ICLR (Poster), 2019)

Sobolev Independence Criterion. - Youssef Mroueh; Tom Sercu; Mattia Rigotti; Inkit Padhi; Cícero Nogueira dos Santos (NeurIPS, 2019)

Decentralized Parallel Algorithm for Training Generative Adversarial Nets. - Mingrui Liu; Youssef Mroueh; Wei Zhang 022; Xiaodong Cui; Jerret Ross; Tianbao Yang; Payel Das (CoRR, 2019)

Learning Implicit Text Generation via Feature Matching. - Inkit Padhi; Pierre L. Dognin; Ke Bai; Cícero Nogueira dos Santos; Vijil Chenthamarakshan; Youssef Mroueh; Payel Das (ACL, 2020)

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

Wasserstein Style Transfer. - Youssef Mroueh (AISTATS, 2020)

Improving Efficiency in Large-Scale Decentralized Distributed Training. - Wei Zhang 022; Xiaodong Cui; Abdullah Kayi; Mingrui Liu; Ulrich Finkler; Brian Kingsbury; George Saon; Youssef Mroueh; Alper Buyuktosunoglu; Payel Das; David S. Kung 001; Michael Picheny (ICASSP, 2020)

Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets. - Mingrui Liu; Youssef Mroueh; Jerret Ross; Wei Zhang 022; Xiaodong Cui; Payel Das; Tianbao Yang (ICLR, 2020)

A Decentralized Parallel Algorithm for Training Generative Adversarial Nets. - Mingrui Liu; Wei Zhang 022; Youssef Mroueh; Xiaodong Cui; Jarret Ross; Tianbao Yang; Payel Das (NeurIPS, 2020)

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

Generative Modeling with Denoising Auto-Encoders and Langevin Sampling. - Adam Block; Youssef Mroueh; Alexander Rakhlin (CoRR, 2020)

Fast Mixing of Multi-Scale Langevin Dynamics under the Manifold Hypothesis. - Adam Block; Youssef Mroueh; Alexander Rakhlin; Jerret Ross (CoRR, 2020)

Kernel Stein Generative Modeling. - Wei-Cheng Chang; Chun-Liang Li; Youssef Mroueh; Yiming Yang (CoRR, 2020)

Active learning of deep surrogates for PDEs: Application to metasurface design. - Raphaël Pestourie; Youssef Mroueh; Thanh V. Nguyen; Payel Das; Steven G. Johnson (CoRR, 2020)

Alleviating Noisy Data in Image Captioning with Cooperative Distillation. - Pierre L. Dognin; Igor Melnyk; Youssef Mroueh; Inkit Padhi; Mattia Rigotti; Jarret Ross; Yair Schiff (CoRR, 2020)

Improved Mutual Information Estimation. - Youssef Mroueh; Igor Melnyk; Pierre L. Dognin; Jarret Ross; Tom Sercu (AAAI, 2021)

On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow. - Youssef Mroueh; Truyen Nguyen (AISTATS, 2021)

Tabular Transformers for Modeling Multivariate Time Series. - Inkit Padhi; Yair Schiff; Igor Melnyk; Mattia Rigotti; Youssef Mroueh; Pierre L. Dognin; Jerret Ross; Ravi Nair; Erik R. Altman (ICASSP, 2021)

Fair Mixup: Fairness via Interpolation. - Ching-Yao Chuang; Youssef Mroueh (ICLR, 2021)

Measuring Generalization with Optimal Transport. - Ching-Yao Chuang; Youssef Mroueh; Kristjan H. Greenewald; Antonio Torralba 001; Stefanie Jegelka (NeurIPS, 2021)

Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics. - Carles Domingo-Enrich; Youssef Mroueh (NeurIPS, 2021)

Do Large Scale Molecular Language Representations Capture Important Structural Information? - Jerret Ross; Brian Belgodere; Vijil Chenthamarakshan; Inkit Padhi; Youssef Mroueh; Payel Das (CoRR, 2021)

Physics-enhanced deep surrogates for PDEs. - Raphaël Pestourie; Youssef Mroueh; Chris Rackauckas; Payel Das; Steven G. Johnson (CoRR, 2021)

Cycle Consistent Probability Divergences Across Different Spaces. - Zhengxin Zhang; Youssef Mroueh; Ziv Goldfeld; Bharath K. Sriperumbudur (AISTATS, 2022)

Tighter Sparse Approximation Bounds for ReLU Neural Networks. - Carles Domingo-Enrich; Youssef Mroueh (ICLR, 2022)

Cloud-Based Real-Time Molecular Screening Platform with MolFormer. - 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 (ECML/PKDD (6), 2022)

Auditing Differential Privacy in High Dimensions with the Kernel Quantum Rényi Divergence. - Carles Domingo-Enrich; Youssef Mroueh (CoRR, 2022)

Effective Dynamics of Generative Adversarial Networks. - Steven Durr; Youssef Mroueh; Yuhai Tu; Shenshen Wang (CoRR, 2022)

Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge. - Pierre L. Dognin; Igor Melnyk; Youssef Mroueh; Inkit Padhi; Mattia Rigotti; Jarret Ross; Yair Schiff; Richard A. Young; Brian Belgodere (J. Artif. Intell. Res., 2022)

Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks. - David Alvarez-Melis; Yair Schiff; Youssef Mroueh (Trans. Mach. Learn. Res., 2022)

Large-scale chemical language representations capture molecular structure and properties. - Jerret Ross; Brian Belgodere; Vijil Chenthamarakshan; Inkit Padhi; Youssef Mroueh; Payel Das (Nat. Mac. Intell., 2022)

Learning with Stochastic Orders. - Carles Domingo-Enrich; Yair Schiff; Youssef Mroueh (ICLR, 2023)

Risk Assessment and Statistical Significance in the Age of Foundation Models. - Apoorva Nitsure; Youssef Mroueh; Mattia Rigotti; Kristjan H. Greenewald; Brian Belgodere; Mikhail Yurochkin; Jirí Navrátil 001; Igor Melnyk; Jerret Ross (CoRR, 2023)

Physics-enhanced deep surrogates for partial differential equations. - Raphaël Pestourie; Youssef Mroueh; Chris Rackauckas; Payel Das; Steven G. Johnson (Nat. Mac. Intell., 2023)

Risk Aware Benchmarking of Large Language Models. - Apoorva Nitsure; Youssef Mroueh; Mattia Rigotti; Kristjan H. Greenewald; Brian Belgodere; Mikhail Yurochkin; Jirí Navrátil 001; Igor Melnyk; Jarret Ross (ICML, 2024)

Distributional Preference Alignment of LLMs via Optimal Transport. - Igor Melnyk; Youssef Mroueh; Brian Belgodere; Mattia Rigotti; Apoorva Nitsure; Mikhail Yurochkin; Kristjan H. Greenewald; Jirí Navrátil 001; Jarret Ross (NeurIPS, 2024)

Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking. - Gabriel Rioux; Apoorva Nitsure; Mattia Rigotti; Kristjan H. Greenewald; Youssef Mroueh (NeurIPS, 2024)

GP-MoLFormer: A Foundation Model For Molecular Generation. - Jerret Ross; Brian Belgodere; Samuel C. Hoffman; Vijil Chenthamarakshan; Youssef Mroueh; Payel Das (CoRR, 2024)

Distributional Preference Alignment of LLMs via Optimal Transport. - Igor Melnyk; Youssef Mroueh; Brian Belgodere; Mattia Rigotti; Apoorva Nitsure; Mikhail Yurochkin; Kristjan H. Greenewald; Jirí Navrátil 001; Jerret Ross (CoRR, 2024)

Information Theoretic Guarantees For Policy Alignment In Large Language Models. - Youssef Mroueh (CoRR, 2024)

Large Language Models can be Strong Self-Detoxifiers. - Ching-Yun Ko; Pin-Yu Chen; Payel Das; Youssef Mroueh; Soham Dan; Georgios Kollias; Subhajit Chaudhury; Tejaswini Pedapati; Luca Daniel (CoRR, 2024)

Auditing and Generating Synthetic Data With Controllable Trust Trade-Offs. - Brian Belgodere; Pierre L. Dognin; Adam Ivankay; Igor Melnyk; Youssef Mroueh; Aleksandra Mojsilovic; Jirí Navrátil 001; Apoorva Nitsure; Inkit Padhi; Mattia Rigotti; Jerret Ross; Yair Schiff; et al. (IEEE J. Emerg. Sel. Topics Circuits Syst., 2024)

Large Language Models can Become Strong Self-Detoxifiers. - Ching-Yun Ko; Pin-Yu Chen; Payel Das; Youssef Mroueh; Soham Dan; Georgios Kollias; Subhajit Chaudhury; Tejaswini Pedapati; Luca Daniel (ICLR, 2025)

Information Theoretic Guarantees For Policy Alignment In Large Language Models. - Youssef Mroueh; Apoorva Nitsure (Trans. Mach. Learn. Res., 2025)

Theoretical Analysis of KL-regularized RLHF with Multiple Reference Models. - Gholamali Aminian; Amir R. Asadi; Idan Shenfeld; Youssef Mroueh (CoRR, 2025)

Verify when Uncertain: Beyond Self-Consistency in Black Box Hallucination Detection. - Yihao Xue; Kristjan H. Greenewald; Youssef Mroueh; Baharan Mirzasoleiman (CoRR, 2025)

Reinforcement Learning with Verifiable Rewards: GRPO's Effective Loss, Dynamics, and Success Amplification. - Youssef Mroueh (CoRR, 2025)

Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy Training. - Youssef Mroueh; Nicolas Dupuis; Brian Belgodere; Apoorva Nitsure; Mattia Rigotti; Kristjan H. Greenewald; Jirí Navrátil 001; Jerret Ross; Jesus Rios (CoRR, 2025)

Guided Speculative Inference for Efficient Test-Time Alignment of LLMs. - Jonathan Geuter; Youssef Mroueh; David Alvarez-Melis (CoRR, 2025)

GP-MoLFormer-Sim: Test Time Molecular Optimization through Contextual Similarity Guidance. - Jirí Navrátil 001; Jarret Ross; Payel Das; Youssef Mroueh; Samuel C. Hoffman; Vijil Chenthamarakshan; Brian Belgodere (CoRR, 2025)

Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis. - Gholamali Aminian; Idan Shenfeld; Amir R. Asadi; Ahmad Beirami; Youssef Mroueh (CoRR, 2025)