no code implementations • 26 Jun 2021 • Surender V Raj, Manish Kumar, Udit Bhatia
Accordingly, fragility curves for collapse and functionality disruption damage states were developed considering relevant aleatory and epistemic uncertainties.
no code implementations • 23 Jun 2021 • Nidhin Harilal, Udit Bhatia, Auroop R. Ganguly
However, our understanding of how to design Bayesian Deep Learning (BDL) hyperparameters, specifically, the depth, width and ensemble size, for robust function mapping with uncertainty quantification, is still emerging.
no code implementations • 22 Apr 2021 • Pravin Bhasme, Jenil Vagadiya, Udit Bhatia
Here we develop a Physics Informed Machine Learning (PIML) model that combines the process understanding of conceptual hydrological model with predictive abilities of state-of-the-art ML models.
BIG-bench Machine Learning Physics-informed machine learning +2
1 code implementation • 23 Sep 2020 • Nidhin Harilal, Udit Bhatia, Mayank Singh
Projection of changes in extreme indices of climate variables such as temperature and precipitation are critical to assess the potential impacts of climate change on human-made and natural systems, including critical infrastructures and ecosystems.