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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...
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05/13/2022
Toward a Geometrical Understanding of Self-supervised Contrastive Learning
Self-supervised learning (SSL) is currently one of the premier technique...
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02/16/2022
Spatial Transformer K-Means
K-means defines one of the most employed centroid-based clustering algor...
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12/16/2020
Interpretable Image Clustering via Diffeomorphism-Aware K-Means
We design an interpretable clustering algorithm aware of the nonlinear s...
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12/14/2020
Sparse Multi-Family Deep Scattering Network
In this work, we propose the Sparse Multi-Family Deep Scattering Network...
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09/20/2020
Provable Finite Data Generalization with Group Autoencoder
Deep Autoencoders (AEs) provide a versatile framework to learn a compres...
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05/21/2019
The Geometry of Deep Networks: Power Diagram Subdivision
We study the geometry of deep (neural) networks (DNs) with piecewise aff...
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12/25/2017