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Romain Cosentino
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The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning


Sep 18, 2022
Romain Cosentino, Sarath Shekkizhar, Mahdi Soltanolkotabi, Salman Avestimehr, Antonio Ortega

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* 22 pages 
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Toward a Geometrical Understanding of Self-supervised Contrastive Learning


May 13, 2022
Romain Cosentino, Anirvan Sengupta, Salman Avestimehr, Mahdi Soltanolkotabi, Antonio Ortega, Ted Willke, Mariano Tepper

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Spatial Transformer K-Means


Feb 16, 2022
Romain Cosentino, Randall Balestriero, Yanis Bahroun, Anirvan Sengupta, Richard Baraniuk, Behnaam Aazhang

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* arXiv admin note: substantial text overlap with arXiv:2012.09743 
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Interpretable Image Clustering via Diffeomorphism-Aware K-Means


Dec 16, 2020
Romain Cosentino, Randall Balestriero, Yanis Bahroun, Anirvan Sengupta, Richard Baraniuk, Behnaam Aazhang

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Sparse Multi-Family Deep Scattering Network


Dec 14, 2020
Romain Cosentino, Randall Balestriero

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* arXiv admin note: substantial text overlap with arXiv:1712.09117 
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Provable Finite Data Generalization with Group Autoencoder


Sep 20, 2020
Romain Cosentino, Randall Balestriero, Richard Baraniuk, Behnaam Aazhang

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The Geometry of Deep Networks: Power Diagram Subdivision


May 21, 2019
Randall Balestriero, Romain Cosentino, Behnaam Aazhang, Richard Baraniuk

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Overcomplete Frame Thresholding for Acoustic Scene Analysis


Dec 25, 2017
Romain Cosentino, Randall Balestriero, Richard Baraniuk, Ankit Patel

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