Romain Egele
Romain Egele
Argonne National Laboratory and Université Paris-Saclay
Verified email at - Homepage
Cited by
Cited by
Deephyper: Asynchronous hyperparameter search for deep neural networks
P Balaprakash, M Salim, TD Uram, V Vishwanath, SM Wild
2018 IEEE 25th international conference on high performance computing (HiPC …, 2018
Scalable reinforcement-learning-based neural architecture search for cancer deep learning research
P Balaprakash, R Egele, M Salim, S Wild, V Vishwanath, F Xia, T Brettin, ...
Proceedings of the international conference for high performance computing …, 2019
Recurrent neural network architecture search for geophysical emulation
R Maulik, R Egele, B Lusch, P Balaprakash
SC20: International Conference for High Performance Computing, Networking …, 2020
Autodeuq: Automated deep ensemble with uncertainty quantification
R Egele, R Maulik, K Raghavan, B Lusch, I Guyon, P Balaprakash
2022 26th International Conference on Pattern Recognition (ICPR), 1908-1914, 2022
AgEBO-tabular: joint neural architecture and hyperparameter search with autotuned data-parallel training for tabular data
R Egele, P Balaprakash, I Guyon, V Vishwanath, F Xia, R Stevens, Z Liu
Proceedings of the International Conference for High Performance Computing …, 2021
Hpc storage service autotuning using variational-autoencoder-guided asynchronous bayesian optimization
M Dorier, R Egele, P Balaprakash, J Koo, S Madireddy, S Ramesh, ...
2022 IEEE International Conference on Cluster Computing (CLUSTER), 381-393, 2022
Optimizing distributed training on frontier for large language models
S Dash, IR Lyngaas, J Yin, X Wang, R Egele, JA Ellis, M Maiterth, G Cong, ...
ISC High Performance 2024 Research Paper Proceedings (39th International …, 2024
Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles
R Maulik, R Egele, K Raghavan, P Balaprakash
Physica D: Nonlinear Phenomena 454, 133852, 2023
Asynchronous decentralized bayesian optimization for large scale hyperparameter optimization
R Egelé, I Guyon, V Vishwanath, P Balaprakash
2023 IEEE 19th International Conference on e-Science (e-Science), 1-10, 2023
Parallel Multi-Objective Hyperparameter Optimization with Uniform Normalization and Bounded Objectives
R Egele, T Chang, Y Sun, V Vishwanath, P Balaprakash
arXiv preprint arXiv:2309.14936, 2023
Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization?
R Egele, I Guyon, Y Sun, P Balaprakash
arXiv preprint arXiv:2307.15422, 2023
The unreasonable effectiveness of early discarding after one epoch in neural network hyperparameter optimization
R Egele, F Mohr, T Viering, P Balaprakash
Neurocomputing, 127964, 2024
Refining computer tomography data with super-resolution networks to increase the accuracy of respiratory flow simulations
X Liu, M Rüttgers, A Quercia, R Egele, E Pfaehler, R Shende, M Aach, ...
Future Generation Computer Systems 159, 474-488, 2024
Optimization of Learning Workflows at Large Scale on High-Performance Computing Systems
R Egele
Université Paris-Saclay, 2024
Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approach
Y Sun, O Sowunmi, R Egele, SHK Narayanan, L Van Roekel, ...
Mathematics 12 (10), 1483, 2024
AI Competitions and Benchmarks: Dataset Development
R Egele, J Junior, CS Jacques, JN van Rijn, I Guyon, X Baró, A Clapés, ...
arXiv preprint arXiv:2404.09703, 2024
HHD-Ethiopic A Historical Handwritten Dataset for Ethiopic OCR with Baseline Models and Human-level Performance
BH Belay, I Guyon, T Mengiste, B Tilahun, M Liwicki, T Tegegne, R Egele
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