Youssef Mroueh
33 papers · 2012–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (56) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(13)
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Grand Slam
π§¬
Topic Evolution
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Keyword Champion
(2)
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Conference Pioneer
π
Trend Setter
ποΈ
Keyword Collector
(166)
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Prolific Year Β· Productive
π₯
Unstoppable Β· Silver
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Renaissance Researcher
(5)
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(27)
Core Methods
(18)
Deep Learning
(14)
Optimization & Theory
(14)
Mathematics & Optimization
(10)
Learning Types Β· Machine Learning
(10)
Artificial Intelligence
(9)
Learning Types Β· Deep Learning
(7)
Models
(7)
Core AI
(6)
Optimization
(6)
Mathematics
(5)
Computer Vision
(3)
Natural Language Processing
(3)
Generation
(3)
Keywords
optimal transport
(9)
generative adversarial network
(9)
kernel methods
(6)
integral probability metric
(5)
maximum mean discrepancy
(3)
stochastic dominance
(3)
text generation
(3)
implicit generative model
(3)
large language model
(3)
style transfer
(3)
generative model
(2)
feature learning
(2)
moment matching
(2)
non-convex optimization
(2)
min-max optimization
(2)
kernel approximation
(2)
feature matching
(2)
distribution matching
(2)
adversarial learning
(2)
image captioning
(2)
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