activity
20112022
most citedEvolutionary instability of selfish learning in repeated games

24 citations · 80 across the 8 of their papers we have counts for

collaborators

8 papers

cs.SI2022★ 3 cited

Trust based attachment

Julian Kates-Harbeck, Martin A. Nowak

In social systems subject to indirect reciprocity, a positive reputation is key for increasing one's likelihood of future positive interactions. The flow of gossip can amplify the…

physics.soc-ph2022★ 7 cited

Social network structure and the spread of complex contagions from a population genetics perspective

Julian Kates-Harbeck, Michael M. Desai

Ideas, behaviors, and opinions spread through social networks. If the probability of spreading to a new individual is a non-linear function of the fraction of the individuals' affe…

physics.plasm-ph2022★ 9 cited

Implementation of AI/Deep Learning Disruption Predictor into a Plasma Control System

William Tang, Ge Dong, Jayson Barr +17

This paper reports on advances to the state-of-the-art deep-learning disruption prediction models based on the Fusion Recurrent Neural Network (FRNN) originally introduced a 2019 N…

q-bio.PE2021★ 24 cited

Evolutionary instability of selfish learning in repeated games

Alex McAvoy, Julian Kates-Harbeck, Krishnendu Chatterjee +1

Across many domains of interaction, both natural and artificial, individuals use past experience to shape future behaviors. The results of such learning processes depend on what in…

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…

physics.bio-ph2011★ 20 cited

The Tension on dsDNA Bound to ssDNA/RecA Filaments May Play an Important Role in Driving Efficient and Accurate Homology Recognition and Strand Exchange

Julea Vlassakis, Efraim Feinstein, Darren Yang +5

It is well known that during homology recognition and strand exchange the double stranded DNA (dsDNA) in DNA/RecA filaments is highly extended, but the functional role of the exten…