Search Results for author: Sam Ade Jacobs

Found 3 papers, 2 papers with code

Parallelizing Training of Deep Generative Models on Massive Scientific Datasets

2 code implementations5 Oct 2019 Sam Ade Jacobs, Brian Van Essen, David Hysom, Jae-Seung Yeom, Tim Moon, Rushil Anirudh, Jayaraman J. Thiagaranjan, Shusen Liu, Peer-Timo Bremer, Jim Gaffney, Tom Benson, Peter Robinson, Luc Peterson, Brian Spears

Training deep neural networks on large scientific data is a challenging task that requires enormous compute power, especially if no pre-trained models exist to initialize the process.

Distinguishing between Normal and Cancer Cells Using Autoencoder Node Saliency

no code implementations30 Jan 2019 Ya Ju Fan, Jonathan E. Allen, Sam Ade Jacobs, Brian C. Van Essen

With the trained autoencoder, we generate latent representations of a small dataset, containing pairs of normal and cancer cells of various tumor types.

Dimensionality Reduction

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