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20192025
most citedScalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research

35 citations · 69 across the 12 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

cs.LG2020★ 6 cited

AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data

Romain Egele, Prasanna Balaprakash, Venkatram Vishwanath +2

Developing high-performing predictive models for large tabular data sets is a challenging task. The state-of-the-art methods are based on expert-developed model ensembles from diff…

physics.comp-ph2020

Recurrent Neural Network Architecture Search for Geophysical Emulation

Romit Maulik, Romain Egele, Bethany Lusch +1

Developing surrogate geophysical models from data is a key research topic in atmospheric and oceanic modeling because of the large computational costs associated with numerical sim…