neural networks Archives

Universal Approximation in Dropout Neural Networks

We have submitted Universal Approximation in Dropout Neural Networks, and it is currently under review. This is joint work between, Oxana Manita, Mark Peletier, Jacobus Portegies, Albert Senen-Cerda and myself. A preprint is available on arXiv.

Dropout and Dropconnect on a shallow neural network

New publications

Asymptotic convergence rate of Dropout on shallow linear neural networks

We have submitted Asymptotic convergence rate of Dropout on shallow linear neural networks, and it is currently under review. This is joint work between Albert Senen-Cerda and myself. A preprint is available on arXiv.

Example random neural network when using Dropconnect

New publications

Almost Sure Convergence of Dropout Algorithms for Neural Networks

We have submitted Almost Sure Convergence of Dropout Algorithms for Neural Networks, and it is currently under review. This is joint work between Albert Senen-Cerda and myself.

Tag: neural networks

Universal Approximation in Dropout Neural Networks

Asymptotic convergence rate of Dropout on shallow linear neural networks

Almost Sure Convergence of Dropout Algorithms for Neural Networks

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Purification of Quantum Trajectories with Errors

Spectral Concentration in Random Matrices with a Case Study in Clustering

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