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Prasanna Balaprakash
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Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles


Feb 20, 2023
Romit Maulik, Romain Egele, Krishnan Raghavan, Prasanna Balaprakash

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Analyzing the impact of climate change on critical infrastructure from the scientific literature: A weakly supervised NLP approach


Feb 06, 2023
Tanwi Mallick, Joshua David Bergerson, Duane R. Verner, John K Hutchison, Leslie-Anne Levy, Prasanna Balaprakash

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Unified Probabilistic Neural Architecture and Weight Ensembling Improves Model Robustness


Oct 08, 2022
Sumegha Premchandar, Sandeep Madireddy, Sanket Jantre, Prasanna Balaprakash

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HPC Storage Service Autotuning Using Variational-Autoencoder-Guided Asynchronous Bayesian Optimization


Oct 03, 2022
Matthieu Dorier, Romain Egele, Prasanna Balaprakash, Jaehoon Koo, Sandeep Madireddy, Srinivasan Ramesh, Allen D. Malony, Rob Ross

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* Accepted at IEEE Cluster 2022 
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Explainable Graph Pyramid Autoformer for Long-Term Traffic Forecasting


Sep 27, 2022
Weiheng Zhong, Tanwi Mallick, Hadi Meidani, Jane Macfarlane, Prasanna Balaprakash

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Asynchronous Distributed Bayesian Optimization at HPC Scale


Jul 04, 2022
Romain Egele, Joceran Gouneau, Venkatram Vishwanath, Isabelle Guyon, Prasanna Balaprakash

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Multifidelity Reinforcement Learning with Control Variates


Jun 10, 2022
Sami Khairy, Prasanna Balaprakash

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* Preprint. Under review 
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Sequential Bayesian Neural Subnetwork Ensembles


Jun 01, 2022
Sanket Jantre, Sandeep Madireddy, Shrijita Bhattacharya, Tapabrata Maiti, Prasanna Balaprakash

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Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting


Apr 05, 2022
Tanwi Mallick, Prasanna Balaprakash, Jane Macfarlane

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Stabilized Neural Ordinary Differential Equations for Long-Time Forecasting of Dynamical Systems


Mar 29, 2022
Alec J. Linot, Josh W. Burby, Qi Tang, Prasanna Balaprakash, Michael D. Graham, Romit Maulik

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