Youssef Mroueh | Youssef Mroueh

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Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces
Unbalanced Sobolev Descent
A Decentralized Parallel Algorithm for Training Generative Adversarial Nets
Active learning of deep surrogates for PDEs: application to metasurface design
Unbalanced Sobolev Descent
Kernel Stein Generative Modeling
Fast Mixing of Multi-Scale Langevin Dynamics under the Manifold Hypothesis
Generative Modeling with Denoising Auto-Encoders and Langevin Sampling
Wasserstein Style Transfer
Learning Implicit Text Generation via Feature Matching
Transforming source distribution to target distribution using sobolev descent
Nano-Material Configuration Design with Deep Surrogate Langevin Dynamics
Improved Mutual Information Estimation
Surrogate-Based Constrained Langevin Sampling With Applications to Optimal Material Configuration Design
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets
Adversarial Semantic Alignment for Improved Image Captions
Self-critical sequence training of multimodal systems
Sobolev Descent
Implicit Kernel Learning
Learning Implicit Generative Models by Matching Perceptual Features
Sobolev Independence Criterion
Wasserstein Barycenter Model Ensembling
Regularized Finite Dimensional Kernel Sobolev Discrepancy
Semi-Supervised Learning with IPM-based GANs: an Empirical Study
Sobolev GAN
Exploring ROI size in deep learning based lipreading
McGan: Mean and Covariance Feature Matching GAN
Co-Occurring Directions Sketching for Approximate Matrix Multiply
Local Group Invariant Representations via Orbit Embeddings
Fisher GAN
Self-Critical Sequence Training for Image Captioning
Asymmetrically Weighted CCA And Hierarchical Kernel Sentence Embedding For Image & Text Retrieval
Convex Learning of Multiple Tasks and their Structure
Deep Multimodal Learning for Audio-Visual Speech Recognition
Learning with Group Invariant Features: A Kernel Perspective.
Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines?
Robust Phase Retrieval and Super-Resolution from One Bit Coded Diffraction Patterns
Quantization and Greed are Good: One bit Phase Retrieval, Robustness and Greedy Refinements
q-ary Compressive Sensing
Multiclass Learning with Simplex Coding