Youssef Mroueh
33 papers · 2012–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (10) π Conference Polyglot (8)
πΊοΈ
Taxonomy Completionist
(10)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π¬
Deep Specialist
(10)
π
Keyword Champion
(2)
π
Grand Slam
ποΈ
Keyword Collector
(134)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(32)
π₯
Unstoppable
(9)
β‘
Prolific Year
(5)
Conferences
NIPS (10)
AISTATS (8)
ICLR (6)
ICML (3)
AAAI (2)
CVPR (2)
ACL (1)
ICCV (1)
Top co-authors
Keywords
optimal transport
(8)
generative adversarial network
(7)
kernel methods
(6)
integral probability metric
(4)
maximum mean discrepancy
(3)
style transfer
(3)
implicit generative model
(3)
transfer learning
(2)
generative model
(2)
random feature map
(2)
feature learning
(2)
reproducing kernel hilbert space
(2)
kernel approximation
(2)
adversarial learning
(2)
image captioning
(2)
distribution matching
(2)
feature matching
(2)
stochastic dominance
(2)
moment matching
(2)
self-critical sequence training
(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
NIPS 2024
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking
NIPS 2024
Risk Aware Benchmarking of Large Language Models
ICML 2024
Learning with Stochastic Orders
ICLR 2023
Tighter Sparse Approximation Bounds for ReLU Neural Networks
ICLR 2022
Cycle Consistent Probability Divergences Across Different Spaces
AISTATS 2022
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics
NIPS 2021
Measuring Generalization with Optimal Transport
NIPS 2021
Improved Mutual Information Estimation
AAAI 2021
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow
AISTATS 2021
Fair Mixup: Fairness via Interpolation
ICLR 2021
Wasserstein Style Transfer
AISTATS 2020
A Decentralized Parallel Algorithm for Training Generative Adversarial Nets
NIPS 2020
Unbalanced Sobolev Descent
NIPS 2020
Learning Implicit Text Generation via Feature Matching
ACL 2020
Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces
AISTATS 2020
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets
ICLR 2020
Implicit Kernel Learning
AISTATS 2019
Sobolev Descent
AISTATS 2019
Adversarial Semantic Alignment for Improved Image Captions
CVPR 2019
Learning Implicit Generative Models by Matching Perceptual Features
ICCV 2019
Sobolev Independence Criterion
NIPS 2019
Sobolev GAN
ICLR 2018
Local Group Invariant Representations via Orbit Embeddings
AISTATS 2017
Self-Critical Sequence Training for Image Captioning
CVPR 2017
Co-Occurring Directions Sketching for Approximate Matrix Multiply
AISTATS 2017
McGan: Mean and Covariance Feature Matching GAN
ICML 2017
Fisher GAN
NIPS 2017
Learning with Group Invariant Features: A Kernel Perspective.
NIPS 2015
Convex Learning of Multiple Tasks and their Structure
ICML 2015
Multiclass Learning with Simplex Coding
NIPS 2012