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Romit Maulik
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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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Multiscale Graph Neural Network Autoencoders for Interpretable Scientific Machine Learning


Feb 17, 2023
Shivam Barwey, Varun Shankar, Venkatasubramanian Viswanathan, Romit Maulik

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* 30 pages, 17 figures. Correction: Fixed authorship 
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Differentiable physics-enabled closure modeling for Burgers' turbulence


Sep 23, 2022
Varun Shankar, Vedant Puri, Ramesh Balakrishnan, Romit Maulik, Venkatasubramanian Viswanathan

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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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Multi-fidelity reinforcement learning framework for shape optimization


Feb 22, 2022
Sahil Bhola, Suraj Pawar, Prasanna Balaprakash, Romit Maulik

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AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification


Oct 26, 2021
Romain Egele, Romit Maulik, Krishnan Raghavan, Prasanna Balaprakash, Bethany Lusch

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Assessments of model-form uncertainty using Gaussian stochastic weight averaging for fluid-flow regression


Sep 16, 2021
Masaki Morimoto, Kai Fukami, Romit Maulik, Ricardo Vinuesa, Koji Fukagata

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Data-Driven Wind Turbine Wake Modeling via Probabilistic Machine Learning


Sep 06, 2021
S. Ashwin Renganathan, Romit Maulik, Stefano Letizia, Giacomo Valerio Iungo

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* 18 pages, 10 figures 
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Learning the temporal evolution of multivariate densities via normalizing flows


Jul 29, 2021
Yubin Lu, Romit Maulik, Ting Gao, Felix Dietrich, Ioannis G. Kevrekidis, Jinqiao Duan

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