Dorier, Matthieu, and Egele, Romain, et al. “HPC Storage Service Autotuning Using Variational-Autoencoder-Guided Asynchronous Bayesian Optimization”. International Conference on Cluster Computing (Cluster). IEEE, 2022. (arXiv)
Egele, Romain, et al. “AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification.” International Conference on Pattern Recognition (ICPR), 2022. (arXiv)
[Pre-Print] Egele, Romain, et al. “Asynchronous Distributed Bayesian Optimization at HPC Scale.” (arXiv)
2021
Egele, Romain, et al. “AgEBO-tabular: joint neural architecture and hyperparameter search with autotuned data-parallel training for tabular data.” SC21: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2021. (arXiv)
2020
Maulik, Romit, et al. “Recurrent neural network architecture search for geophysical emulation.” SC20: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2020. (arXiv)
Jiang, Shengli, and Prasanna Balaprakash. “Graph Neural Network Architecture Search for Molecular Property Prediction.” 2020 IEEE International Conference on Big Data (Big Data). IEEE, 2020. (arXiv)
2019
Balaprakash, Prasanna, and Egele, Romain, et al. “Scalable reinforcement-learning-based neural architecture search for cancer deep learning research.” SC19: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2019. (arXiv)
2018
Balaprakash, Prasanna, et al. “DeepHyper: Asynchronous hyperparameter search for deep neural networks.” 2018 IEEE 25th international conference on high performance computing (HiPC). IEEE, 2018.