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Romain Egele
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 13
Top Topics
Tabular Data
Ensemble Members
Neural Architecture
Global Optimization
Top Venues
CoRR
SC
CLUSTER
ICPR
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Publications
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Romit Maulik
,
Romain Egele
,
Krishnan Raghavan
,
Prasanna Balaprakash
Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles.
CoRR
(2023)
Romain Egele
,
Isabelle Guyon
,
Yixuan Sun
,
Prasanna Balaprakash
Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization?
CoRR
(2023)
Romain Egele
,
Tyler Chang
,
Yixuan Sun
,
Venkatram Vishwanath
,
Prasanna Balaprakash
Parallel Multi-Objective Hyperparameter Optimization with Uniform Normalization and Bounded Objectives.
CoRR
(2023)
Sajal Dash
,
Isaac Lyngaas
,
Junqi Yin
,
Xiao Wang
,
Romain Egele
,
Guojing Cong
,
Feiyi Wang
,
Prasanna Balaprakash
Optimizing Distributed Training on Frontier for Large Language Models.
CoRR
(2023)
Matthieu Dorier
,
Romain Egele
,
Prasanna Balaprakash
,
Jaehoon Koo
,
Sandeep Madireddy
,
Srinivasan Ramesh
,
Allen D. Malony
,
Robert B. Ross
HPC Storage Service Autotuning Using Variational- Autoencoder -Guided Asynchronous Bayesian Optimization.
CLUSTER
(2022)
Romain Egele
,
Joceran Gouneau
,
Venkatram Vishwanath
,
Isabelle Guyon
,
Prasanna Balaprakash
Asynchronous Distributed Bayesian Optimization at HPC Scale.
CoRR
(2022)
Romain Egele
,
Romit Maulik
,
Krishnan Raghavan
,
Bethany Lusch
,
Isabelle Guyon
,
Prasanna Balaprakash
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification.
ICPR
(2022)
Matthieu Dorier
,
Romain Egele
,
Prasanna Balaprakash
,
Jaehoon Koo
,
Sandeep Madireddy
,
Srinivasan Ramesh
,
Allen D. Malony
,
Robert B. Ross
HPC Storage Service Autotuning Using Variational-Autoencoder-Guided Asynchronous Bayesian Optimization.
CoRR
(2022)
Romain Egele
,
Romit Maulik
,
Krishnan Raghavan
,
Prasanna Balaprakash
,
Bethany Lusch
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification.
CoRR
(2021)
Romit Maulik
,
Romain Egele
,
Bethany Lusch
,
Prasanna Balaprakash
Recurrent neural network architecture search for geophysical emulation.
SC
(2020)
Romain Egele
,
Prasanna Balaprakash
,
Venkatram Vishwanath
,
Isabelle Guyon
,
Zhengying Liu
AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data.
CoRR
(2020)
Prasanna Balaprakash
,
Romain Egele
,
Misha Salim
,
Stefan M. Wild
,
Venkatram Vishwanath
,
Fangfang Xia
,
Tom Brettin
,
Rick Stevens
Scalable reinforcement-learning-based neural architecture search for cancer deep learning research.
SC
(2019)
Prasanna Balaprakash
,
Romain Egele
,
Misha Salim
,
Stefan M. Wild
,
Venkatram Vishwanath
,
Fangfang Xia
,
Tom Brettin
,
Rick Stevens
Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research.
CoRR
(2019)