Romain Egele
According to our database1,
Romain Egele
authored at least 13 papers
between 2019 and 2023.
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Bibliography
2023
Parallel Multi-Objective Hyperparameter Optimization with Uniform Normalization and Bounded Objectives.
CoRR, 2023
Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles.
CoRR, 2023
Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization.
Proceedings of the 19th IEEE International Conference on e-Science, 2023
2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
HPC Storage Service Autotuning Using Variational- Autoencoder -Guided Asynchronous Bayesian Optimization.
Proceedings of the IEEE International Conference on Cluster Computing, 2022
2021
AgEBO-tabular: joint neural architecture and hyperparameter search with autotuned data-parallel training for tabular data.
Proceedings of the International Conference for High Performance Computing, 2021
2020
AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data.
CoRR, 2020
Proceedings of the International Conference for High Performance Computing, 2020
2019
Scalable reinforcement-learning-based neural architecture search for cancer deep learning research.
Proceedings of the International Conference for High Performance Computing, 2019