corpus.blog
56,966 blogs · [ { "id": "01a08c65-a94e-708e-a766-9da2d7561a19", "title": "GRPO Amplifies the Success Rate of A Policy via An implicit Fixed Point Iteration", "url": "https://ymroueh.me/post/post_2/", "published_at": "2025-03-14T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2d7e83272", "title": "GRPO with Verifiable (Binary) Rewards Is an Adaptive Weighted Contrastive Loss", "url": "https://ymroueh.me/post/post_1/", "published_at": "2025-01-31T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2d892a655", "title": "Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces", "url": "https://ymroueh.me/publication/alvarez-melis-unsupervised-nodate/", "published_at": "2020-10-30T17:23:58+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2d9707117", "title": "ACM Books - Article/Chapter View", "url": "https://ymroueh.me/publication/noauthor-acm-nodate/", "published_at": "2020-10-30T17:23:54+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2d9e3a178", "title": "Unbalanced Sobolev Descent", "url": "https://ymroueh.me/publication/my-publication/", "published_at": "2020-10-30T13:38:10+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2d9e84f10", "title": "A Decentralized Parallel Algorithm for Training Generative Adversarial Nets", "url": "https://ymroueh.me/publication/liu-decentralized-2020/", "published_at": "2020-10-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2da1ab5bc", "title": "Active learning of deep surrogates for PDEs: application to metasurface design", "url": "https://ymroueh.me/publication/pestourie-active-2020/", "published_at": "2020-10-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2da1e5c3f", "title": "Unbalanced Sobolev Descent", "url": "https://ymroueh.me/publication/mroueh-unbalanced-2020/", "published_at": "2020-09-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2da29ae72", "title": "Kernel Stein Generative Modeling", "url": "https://ymroueh.me/publication/chang-kernel-2020/", "published_at": "2020-07-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2da4c7b1c", "title": "Fast Mixing of Multi-Scale Langevin Dynamics under the Manifold Hypothesis", "url": "https://ymroueh.me/publication/block-fast-2020/", "published_at": "2020-06-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2da5613e8", "title": "Generative Modeling with Denoising Auto-Encoders and Langevin Sampling", "url": "https://ymroueh.me/publication/block-generative-2020/", "published_at": "2020-06-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2daee4446", "title": "Wasserstein Style Transfer", "url": "https://ymroueh.me/publication/mroueh-wasserstein-2020/", "published_at": "2020-06-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2db7bbea7", "title": "Improving Efficiency in Large-Scale Decentralized Distributed Training", "url": "https://ymroueh.me/publication/zhang-improving-2020/", "published_at": "2020-05-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2dc018393", "title": "Learning Implicit Text Generation via Feature Matching", "url": "https://ymroueh.me/publication/padhi-learning-2020/", "published_at": "2020-05-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2dcb5d81b", "title": "Transforming source distribution to target distribution using sobolev descent", "url": "https://ymroueh.me/publication/mroueh-transforming-2020/", "published_at": "2020-04-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2dd99de02", "title": "Nano-Material Configuration Design with Deep Surrogate Langevin Dynamics", "url": "https://ymroueh.me/publication/nguyen-nano-material-2020/", "published_at": "2020-02-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2ddf3674a", "title": "Improved Mutual Information Estimation", "url": "https://ymroueh.me/publication/mroueh-improved-2019/", "published_at": "2019-09-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2de3a4984", "title": "Surrogate-Based Constrained Langevin Sampling With Applications to Optimal Material Configuration Design", "url": "https://ymroueh.me/publication/nguyen-surrogate-based-2019/", "published_at": "2019-09-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2deda3930", "title": "Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets", "url": "https://ymroueh.me/publication/liu-towards-2019/", "published_at": "2019-09-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2df4e6ffb", "title": "Adversarial Semantic Alignment for Improved Image Captions", "url": "https://ymroueh.me/publication/dognin-adversarial-2019/", "published_at": "2019-06-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2e00d3844", "title": "Self-critical sequence training of multimodal systems", "url": "https://ymroueh.me/publication/rennie-self-critical-2019/", "published_at": "2019-05-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2e0a5ac95", "title": "Sobolev Descent", "url": "https://ymroueh.me/publication/mroueh-sobolev-2019/", "published_at": "2019-04-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2e0c52ee1", "title": "Implicit Kernel Learning", "url": "https://ymroueh.me/publication/li-implicit-2019/", "published_at": "2019-02-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2e1651e31", "title": "Learning Implicit Generative Models by Matching Perceptual Features", "url": "https://ymroueh.me/publication/santos-learning-2019/", "published_at": "2019-01-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2e19791cc", "title": "Sobolev Independence Criterion", "url": "https://ymroueh.me/publication/mroueh-sobolev-2019-1/", "published_at": "2019-01-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2e266a1fb", "title": "Wasserstein Barycenter Model Ensembling", "url": "https://ymroueh.me/publication/dognin-wasserstein-2018/", "published_at": "2018-09-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2e26b5dc3", "title": "Regularized Finite Dimensional Kernel Sobolev Discrepancy", "url": "https://ymroueh.me/publication/mroueh-regularized-2018/", "published_at": "2018-05-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2e2b61f85", "title": "Semi-Supervised Learning with IPM-based GANs: an Empirical Study", "url": "https://ymroueh.me/publication/sercu-semi-supervised-2017/", "published_at": "2017-12-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2e38bdbaf", "title": "Sobolev GAN", "url": "https://ymroueh.me/publication/mroueh-sobolev-2017/", "published_at": "2017-11-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2e3a2d773", "title": "Exploring ROI size in deep learning based lipreading", "url": "https://ymroueh.me/publication/koumparoulis-exploring-2017/", "published_at": "2017-08-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2e426e0e1", "title": "McGan: Mean and Covariance Feature Matching GAN", "url": "https://ymroueh.me/publication/mroueh-mcgan-2017/", "published_at": "2017-07-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2e4c16280", "title": "Co-Occurring Directions Sketching for Approximate Matrix Multiply", "url": "https://ymroueh.me/publication/mroueh-co-occurring-2017/", "published_at": "2017-04-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2e5405ec9", "title": "Local Group Invariant Representations via Orbit Embeddings", "url": "https://ymroueh.me/publication/raj-local-2017/", "published_at": "2017-04-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2e5f42e59", "title": "Fisher GAN", "url": "https://ymroueh.me/publication/mroueh-fisher-2017/", "published_at": "2017-01-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2e6eea513", "title": "Self-Critical Sequence Training for Image Captioning", "url": "https://ymroueh.me/publication/rennie-self-critical-2017/", "published_at": "2017-01-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2e799d929", "title": "Asymmetrically Weighted CCA And Hierarchical Kernel Sentence Embedding For Image & Text Retrieval", "url": "https://ymroueh.me/publication/mroueh-asymmetrically-2016/", "published_at": "2016-12-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2e79e5b09", "title": "Convex Learning of Multiple Tasks and their Structure", "url": "https://ymroueh.me/publication/ciliberto-convex-2015/", "published_at": "2015-04-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2e7db7044", "title": "Deep Multimodal Learning for Audio-Visual Speech Recognition", "url": "https://ymroueh.me/publication/mroueh-deep-2015/", "published_at": "2015-01-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2e8b269bd", "title": "Learning with Group Invariant Features: A Kernel Perspective.", "url": "https://ymroueh.me/publication/mroueh-learning-2015/", "published_at": "2015-01-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2e95295ba", "title": "On efficiency and low sample complexity in phase retrieval", "url": "https://ymroueh.me/publication/mroueh-efficiency-2014/", "published_at": "2014-06-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2e96f3af2", "title": "Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines?", "url": "https://ymroueh.me/publication/liao-can-2014/", "published_at": "2014-03-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2ea5e72ca", "title": "Robust Phase Retrieval and Super-Resolution from One Bit Coded Diffraction Patterns", "url": "https://ymroueh.me/publication/mroueh-robust-2014/", "published_at": "2014-03-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2ea70066c", "title": "Quantization and Greed are Good: One bit Phase Retrieval, Robustness and Greedy Refinements", "url": "https://ymroueh.me/publication/mroueh-quantization-2013/", "published_at": "2013-12-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2ea77d981", "title": "q-ary Compressive Sensing", "url": "https://ymroueh.me/publication/mroueh-q-ary-2013/", "published_at": "2013-02-01T00:00:00+00:00" }, { "id": "01a08c65-a94e-708e-a766-9da2eb47265c", "title": "Multiclass Learning with Simplex Coding", "url": "https://ymroueh.me/publication/mroueh-multiclass-2012/", "published_at": "2012-01-01T00:00:00+00:00" } ] posts Claim your blog
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2025

GRPO Amplifies the Success Rate of A Policy via An implicit Fixed Point Iterationoriginal ↗
14 Mar 2025
GRPO with Verifiable (Binary) Rewards Is an Adaptive Weighted Contrastive Lossoriginal ↗
31 Jan 2025

2020

Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spacesoriginal ↗
30 Oct 2020
ACM Books - Article/Chapter Vieworiginal ↗
30 Oct 2020
Unbalanced Sobolev Descentoriginal ↗
30 Oct 2020
A Decentralized Parallel Algorithm for Training Generative Adversarial Netsoriginal ↗
1 Oct 2020
Active learning of deep surrogates for PDEs: application to metasurface designoriginal ↗
1 Oct 2020
Unbalanced Sobolev Descentoriginal ↗
1 Sept 2020
Kernel Stein Generative Modelingoriginal ↗
1 Jul 2020
Fast Mixing of Multi-Scale Langevin Dynamics under the Manifold Hypothesisoriginal ↗
1 Jun 2020
Generative Modeling with Denoising Auto-Encoders and Langevin Samplingoriginal ↗
1 Jun 2020
Wasserstein Style Transferoriginal ↗
1 Jun 2020
Improving Efficiency in Large-Scale Decentralized Distributed Trainingoriginal ↗
1 May 2020
Learning Implicit Text Generation via Feature Matchingoriginal ↗
1 May 2020
Transforming source distribution to target distribution using sobolev descentoriginal ↗
1 Apr 2020
Nano-Material Configuration Design with Deep Surrogate Langevin Dynamicsoriginal ↗
1 Feb 2020

2019

Improved Mutual Information Estimationoriginal ↗
1 Sept 2019
Surrogate-Based Constrained Langevin Sampling With Applications to Optimal Material Configuration Designoriginal ↗
1 Sept 2019
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Netsoriginal ↗
1 Sept 2019
Adversarial Semantic Alignment for Improved Image Captionsoriginal ↗
1 Jun 2019
Self-critical sequence training of multimodal systemsoriginal ↗
1 May 2019
Sobolev Descentoriginal ↗
1 Apr 2019
Implicit Kernel Learningoriginal ↗
1 Feb 2019
Learning Implicit Generative Models by Matching Perceptual Featuresoriginal ↗
1 Jan 2019
Sobolev Independence Criterionoriginal ↗
1 Jan 2019

2018

Wasserstein Barycenter Model Ensemblingoriginal ↗
1 Sept 2018
Regularized Finite Dimensional Kernel Sobolev Discrepancyoriginal ↗
1 May 2018

2017

Semi-Supervised Learning with IPM-based GANs: an Empirical Studyoriginal ↗
1 Dec 2017
Sobolev GANoriginal ↗
1 Nov 2017
Exploring ROI size in deep learning based lipreadingoriginal ↗
1 Aug 2017
McGan: Mean and Covariance Feature Matching GANoriginal ↗
1 Jul 2017
Co-Occurring Directions Sketching for Approximate Matrix Multiplyoriginal ↗
1 Apr 2017
Local Group Invariant Representations via Orbit Embeddingsoriginal ↗
1 Apr 2017
Fisher GANoriginal ↗
1 Jan 2017
Self-Critical Sequence Training for Image Captioningoriginal ↗
1 Jan 2017

2016

Asymmetrically Weighted CCA And Hierarchical Kernel Sentence Embedding For Image & Text Retrievaloriginal ↗
1 Dec 2016

2015

Convex Learning of Multiple Tasks and their Structureoriginal ↗
1 Apr 2015
Deep Multimodal Learning for Audio-Visual Speech Recognitionoriginal ↗
1 Jan 2015
Learning with Group Invariant Features: A Kernel Perspective.original ↗
1 Jan 2015

2014

On efficiency and low sample complexity in phase retrievaloriginal ↗
1 Jun 2014
Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines?original ↗
1 Mar 2014
Robust Phase Retrieval and Super-Resolution from One Bit Coded Diffraction Patternsoriginal ↗
1 Mar 2014

2013

Quantization and Greed are Good: One bit Phase Retrieval, Robustness and Greedy Refinementsoriginal ↗
1 Dec 2013
q-ary Compressive Sensingoriginal ↗
1 Feb 2013

2012

Multiclass Learning with Simplex Codingoriginal ↗
1 Jan 2012