Romain Cosentino | DeepAI

AI Chat

Featured Co-authors

Randall Balestriero
55 publications
Salman Avestimehr
53 publications
Mahdi Soltanolkotabi
51 publications
Antonio Ortega
36 publications
Richard Baraniuk
32 publications
Mariano Tepper
12 publications
Yanis Bahroun
11 publications
Ankit Patel
10 publications
Behnaam Aazhang
8 publications
Sarath Shekkizhar
7 publications
Ted Willke
7 publications

∙ 09/18/2022

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

Self-supervised learning (SSL) has emerged as a desirable paradigm in co...

0 Romain Cosentino, et al. ∙

∙ 05/13/2022

Toward a Geometrical Understanding of Self-supervised Contrastive Learning

Self-supervised learning (SSL) is currently one of the premier technique...

0 Romain Cosentino, et al. ∙

∙ 02/16/2022

Spatial Transformer K-Means

K-means defines one of the most employed centroid-based clustering algor...

27 Romain Cosentino, et al. ∙

∙ 12/16/2020

Interpretable Image Clustering via Diffeomorphism-Aware K-Means

We design an interpretable clustering algorithm aware of the nonlinear s...

0 Romain Cosentino, et al. ∙

∙ 12/14/2020

Sparse Multi-Family Deep Scattering Network

In this work, we propose the Sparse Multi-Family Deep Scattering Network...

0 Romain Cosentino, et al. ∙

∙ 09/20/2020

Provable Finite Data Generalization with Group Autoencoder

Deep Autoencoders (AEs) provide a versatile framework to learn a compres...

0 Romain Cosentino, et al. ∙

∙ 05/21/2019

The Geometry of Deep Networks: Power Diagram Subdivision

We study the geometry of deep (neural) networks (DNs) with piecewise aff...

0 Randall Balestriero, et al. ∙

∙ 12/25/2017

Overcomplete Frame Thresholding for Acoustic Scene Analysis

In this work, we derive a generic overcomplete frame thresholding scheme...

0 Romain Cosentino, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world