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08/24/2023
Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions
Variational Information Pursuit (V-IP) is a framework for making interpr...
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02/06/2023
Variational Information Pursuit for Interpretable Predictions
There is a growing interest in the machine learning community in develop...
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01/04/2023
Unsupervised Manifold Linearizing and Clustering
Clustering data lying close to a union of low-dimensional manifolds, wit...
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03/31/2022
Efficient Maximal Coding Rate Reduction by Variational Forms
The principle of Maximal Coding Rate Reduction (MCR^2) has recently been...
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11/12/2021
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
This work proposes a new computational framework for learning an explici...
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05/21/2021
ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction
This work attempts to provide a plausible theoretical framework that aim...
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10/27/2020
Deep Networks from the Principle of Rate Reduction
This work attempts to interpret modern deep (convolutional) networks fro...
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06/15/2020