Jonathan Mei | DeepAI

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Featured Co-authors

José M. F. Moura
42 publications
Alexander Moreno
8 publications
Luke Walters
2 publications

∙ 05/30/2023

KrADagrad: Kronecker Approximation-Domination Gradient Preconditioned Stochastic Optimization

Second order stochastic optimizers allow parameter update step size and ...

0 Jonathan Mei, et al. ∙

∙ 05/15/2023

SKI to go Faster: Accelerating Toeplitz Neural Networks via Asymmetric Kernels

Toeplitz Neural Networks (TNNs) (Qin et. al. 2023) are a recent sequence...

0 Alexander Moreno, et al. ∙

∙ 06/28/2018

Single Index Latent Variable Models for Network Topology Inference

A semi-parametric, non-linear regression model in the presence of latent...

0 Jonathan Mei, et al. ∙

∙ 06/05/2018

EigenNetworks

In many applications, the interdependencies among a set of N time series...

0 Jonathan Mei, et al. ∙

∙ 05/09/2017

SILVar: Single Index Latent Variable Models

A semi-parametric, non-linear regression model in the presence of latent...

0 Jonathan Mei, et al. ∙

∙ 02/28/2015

Signal Processing on Graphs: Causal Modeling of Unstructured Data

Many applications collect a large number of time series, for example, th...

0 Jonathan Mei, et al. ∙

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