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08/11/2023
Noise-Resilient Designs for Optical Neural Networks
All analog signal processing is fundamentally subject to noise, and this...
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10/04/2022
Detection and Evaluation of Clusters within Sequential Data
Motivated by theoretical advancements in dimensionality reduction techni...
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04/28/2022
Singular value distribution of dense random matrices with block Markovian dependence
A block Markov chain is a Markov chain whose state space can be partitio...
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12/18/2020
Universal Approximation in Dropout Neural Networks
We prove two universal approximation theorems for a range of dropout neu...
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12/01/2020
Asymptotic convergence rate of Dropout on shallow linear neural networks
We analyze the convergence rate of gradient flows on objective functions...
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02/06/2020