Prabhat

Physics-informed machine learning: case studies for weather and climate modelling

Karthik Kashinath, Mohamed Elhafiz Mustafa, Adrian Albert et al. · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · 2021 · 582 citations

Scalable Bayesian Optimization Using Deep Neural Networks

Jasper Snoek, Oren Rippel, Kevin Swersky et al. · arXiv (Cornell University) · 2015 · 439 citations · Full text

Artificial Intelligence, Model Optimization, Hyperparameter Estimation +13

Scalable Bayesian Optimization Using Deep Neural Networks

Jasper Snoek, Oren Rippel, Kevin Swersky et al. · arXiv (Cornell University) · 2015 · 376 citations · Full text

Artificial Intelligence, Model Optimization, Hyperparameter Estimation +13

Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets

Yunjie Liu, Evan Racah, Prabhat et al. · arXiv (Cornell University) · 2016 · 315 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +21

The effect of horizontal resolution on simulation quality in the <scp>C</scp>ommunity <scp>A</scp>tmospheric <scp>M</scp>odel, <scp>CAM</scp>5.1

Michael Wehner, Kevin A. Reed, Fuyu Li et al. · Journal of Advances in Modeling Earth Systems · 2014 · 296 citations · Full text

High Resolution, Engineering, Climate Modeling +24