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.