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06/07/2023
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
The backpropagation algorithm has experienced remarkable success in trai...
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02/16/2023
A Bayesian Perspective for Determinant Minimization Based Robust Structured Matrix Factorizatio
We introduce a Bayesian perspective for the structured matrix factorizat...
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10/09/2022
Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source Separation
The brain effortlessly extracts latent causes of stimuli, but how it doe...
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09/27/2022
Biologically-Plausible Determinant Maximization Neural Networks for Blind Separation of Correlated Sources
Extraction of latent sources of complex stimuli is critical for making s...
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09/16/2022
Self-Supervised Learning with an Information Maximization Criterion
Self-supervised learning allows AI systems to learn effective representa...
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05/02/2022
An Information Maximization Based Blind Source Separation Approach for Dependent and Independent Sources
We introduce a new information maximization (infomax) approach for the b...
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02/19/2022
Polytopic Matrix Factorization: Determinant Maximization Based Criterion and Identifiability
We introduce Polytopic Matrix Factorization (PMF) as a novel data decomp...
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04/11/2020
Blind Bounded Source Separation Using Neural Networks with Local Learning Rules
An important problem encountered by both natural and engineered signal p...
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11/20/2012
