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Youssef Mroueh

33 papers · 2012–2026 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+11 more ↓ πŸ—ΊοΈ Taxonomy Completionist (56) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (13) πŸ† Grand Slam 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (166) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Silver 🌈 Renaissance Researcher (5) πŸ’Ž Century Club Β· Bronze

Papers

GP-MoLFormer-Sim: Test Time Molecular Optimization Through Contextual Similarity Guidance AAAI 2026 Large Language Models can Become Strong Self-Detoxifiers ICLR 2025 Distributional Preference Alignment of LLMs via Optimal Transport NeurIPS 2024 Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking NeurIPS 2024 Risk Aware Benchmarking of Large Language Models ICML 2024 Learning with Stochastic Orders ICLR 2023 Cycle Consistent Probability Divergences Across Different Spaces AISTATS 2022 Tighter Sparse Approximation Bounds for ReLU Neural Networks ICLR 2022 Fair Mixup: Fairness via Interpolation ICLR 2021 Improved Mutual Information Estimation AAAI 2021 Measuring Generalization with Optimal Transport NeurIPS 2021 On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow AISTATS 2021 Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics NeurIPS 2021 A Decentralized Parallel Algorithm for Training Generative Adversarial Nets NeurIPS 2020 Learning Implicit Text Generation via Feature Matching ACL 2020 Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets ICLR 2020 Unbalanced Sobolev Descent NeurIPS 2020 Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces AISTATS 2020 Wasserstein Style Transfer AISTATS 2020 Adversarial Semantic Alignment for Improved Image Captions CVPR 2019 Implicit Kernel Learning AISTATS 2019 Learning Implicit Generative Models by Matching Perceptual Features ICCV 2019 Sobolev Descent AISTATS 2019 Sobolev Independence Criterion NeurIPS 2019 Sobolev GAN ICLR 2018 Co-Occurring Directions Sketching for Approximate Matrix Multiply AISTATS 2017 Fisher GAN NeurIPS 2017 Local Group Invariant Representations via Orbit Embeddings AISTATS 2017 McGan: Mean and Covariance Feature Matching GAN ICML 2017 Self-Critical Sequence Training for Image Captioning CVPR 2017 Convex Learning of Multiple Tasks and their Structure ICML 2015 Learning with Group Invariant Features: A Kernel Perspective. NeurIPS 2015 Multiclass Learning with Simplex Coding NeurIPS 2012