Romain Egele

Joined

May 2021

Names

Romain Egele (Preferred)

Emails

****@polytechnique.edu (Confirmed)

****@gmail.com (Confirmed)

****@anl.gov (Confirmed)

****@universite-paris-saclay.fr (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

Université Paris-Saclay (universite-paris-saclay.fr)

2022 – 2024

PhD student

Argonne National Laboratory (anl.gov)

2022 – 2024

Advisors, Relations & Conflicts

PhD Advisor

Prasanna Balaprakash

2022 – 2024

PhD Advisor

Isabelle Guyon

2022 – 2024

Expertise

hyperparameter optimization

2022 – Present

bayesian optimization

2022 – Present

uncertainty quantification

2021 – Present

neural architecture search

2018 – Present

deep learning

2018 – Present

Publications

HHD-Ethiopic: A Historical Handwritten Dataset for Ethiopic OCR with Baseline Models and Human-level Performance
Birhanu Hailu Belay, Isabelle Guyon, Tadele Mengiste, Bezawork Tilahun, Marcus Liwicki, Tesfa Tegegne, Romain Egele
- Submitted to ICLR 2024
- Readers: Everyone
HHD-Ethiopic: A Historical Handwritten Dataset for Ethiopic OCR with Baseline Models and Human-level Performance
Birhanu Hailu Belay, Isabelle Guyon, Tadele Mengiste, Bezawork Tilahun, Marcus Liwicki, Tesfa Tegegne, Romain Egele, Tsiyon Worku
- Submitted to NeurIPS 2023 Datasets and Benchmarks
- Readers: Everyone
Optimizing Distributed Training on Frontier for Large Language Models
Sajal Dash, Isaac Lyngaas, Junqi Yin, Xiao Wang, Romain Egele, Guojing Cong, Feiyi Wang, Prasanna Balaprakash
- CoRR 2023
- Readers: Everyone
Parallel Multi-Objective Hyperparameter Optimization with Uniform Normalization and Bounded Objectives
Romain Egele, Tyler Chang, Yixuan Sun, Venkatram Vishwanath, Prasanna Balaprakash
- CoRR 2023
- Readers: Everyone
Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization?
Romain Egele, Isabelle Guyon, Yixuan Sun, Prasanna Balaprakash
- CoRR 2023
- Readers: Everyone
Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles
Romit Maulik, Romain Egele, Krishnan Raghavan, Prasanna Balaprakash
- CoRR 2023
- Readers: Everyone
Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization
Romain Égelé, Isabelle Guyon, Venkatram Vishwanath, Prasanna Balaprakash
- e-Science 2023
- Readers: Everyone
Asynchronous Distributed Bayesian Optimization at HPC Scale
Romain Egele, Joceran Gouneau, Venkatram Vishwanath, Isabelle Guyon, Prasanna Balaprakash
- CoRR 2022
- Readers: Everyone
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification
Romain Egele, Romit Maulik, Krishnan Raghavan, Bethany Lusch, Isabelle Guyon, Prasanna Balaprakash
- ICPR 2022
- Readers: Everyone
HPC Storage Service Autotuning Using Variational- Autoencoder -Guided Asynchronous Bayesian Optimization
Matthieu Dorier, Romain Egele, Prasanna Balaprakash, Jaehoon Koo, Sandeep Madireddy, Srinivasan Ramesh, Allen D. Malony, Robert B. Ross
- 2022 (modified: 25 Apr 2023)
- CLUSTER 2022
- Readers: Everyone

View all 17 publications

Co-Authors

View all 33 co-authors