Gabriel Peyré
About
Gabriel Peyré has authored 104 papers that have received a total of 6.5k indexed citations.
This includes 53 papers in Computational Mechanics, 43 papers in Computer Vision and Pattern Recognition and 20 papers in Mathematical Physics. The topics of these papers are Sparse and Compressive Sensing Techniques (34 papers), Image and Signal Denoising Methods (21 papers) and Inverse Problems in Mathematical Physics and Imaging (20 papers). Gabriel Peyré is often cited by papers focused on Sparse and Compressive Sensing Techniques (34 papers), Image and Signal Denoising Methods (21 papers) and Inverse Problems in Mathematical Physics and Imaging (20 papers) and collaborates with scholars based in France, United States and United Kingdom. Gabriel Peyré's co-authors include Jalal Fadili, Marco Cuturi, Vincent Duval, Samuel Vaiter and François-Xavier Vialard and has published in prestigious journals such as Nature Communications, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence
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