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researcher

J. Kates-Harbeck

3 papers hereh-index 10585 citations23 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • physics.comp-ph2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20152020
most citedTraining Distributed Deep Recurrent Neural Networks with Mixed Precision on GPU Clusters

13 citations · 17 across the 3 of their papers we have counts for

collaborators

3 papers

physics.comp-ph2020★ 3 cited

Fully Convolutional Spatio-Temporal Models for Representation Learning in Plasma Science

Ge Dong, Kyle Gerard Felker, Alexey Svyatkovskiy +2

We have trained a fully convolutional spatio-temporal model for fast and accurate representation learning in the challenging exemplar application area of fusion energy plasma scien…

cs.LG2019★ 13 cited

Training Distributed Deep Recurrent Neural Networks with Mixed Precision on GPU Clusters

Alexey Svyatkovskiy, Julian Kates-Harbeck, William Tang

In this paper, we evaluate training of deep recurrent neural networks with half-precision floats. We implement a distributed, data-parallel, synchronous training algorithm by integ…

physics.comp-ph2015★ 1 cited

Simplex-in-Cell Technique for Collisionless Plasma Simulations

Julian Kates-Harbeck, Samuel Totorica, Jonathan Zrake +1

We extend the simplex-in-cell (SIC) technique recently introduced in the context of collisionless dark matter fluids (Abel et al. 2012; Hahn et al. 2012) to the case of collisionle…

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