Search Results for author: Chester Huynh

Found 2 papers, 1 papers with code

Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks

1 code implementation25 Sep 2019 Adam Li, Ronan Perry, Chester Huynh, Tyler M. Tomita, Ronak Mehta, Jesus Arroyo, Jesse Patsolic, Benjamin Falk, Joshua T. Vogelstein

In particular, Forests dominate other methods in tabular data, that is, when the feature space is unstructured, so that the signal is invariant to a permutation of the feature indices.

EEG Image Classification +1

Analysis of Neural Fragility: Bounding the Norm of a Rank-One Perturbation Matrix

no code implementations14 Feb 2022 Adam Li, Chester Huynh

We show that neural fragility is a well-defined model given a good estimator of the linear dynamical system from data.

Cannot find the paper you are looking for? You can Submit a new open access paper.