Research & Publications
Contents
Research & Publications#
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.
[Pre-Print] Egele, Romain, et al. “AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification.” (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 tal. “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.