Data-Driven Deep Learning Emulators for Geophysical Forecasting. - Varuni Katti Sastry; Romit Maulik; Vishwas Rao; Bethany Lusch; S. Ashwin Renganathan; Rao Kotamarthi (ICCS (5), 2021)

Fast and accurate learned multiresolution dynamical downscaling for precipitation. - Jiali Wang; Zhengchun Liu; Ian T. Foster; Won Chang; Rajkumar Kettimuthu; Rao Kotamarthi (CoRR, 2021)

A Deep Learning Approach to Probabilistic Forecasting of Weather. - Nick Rittler; Carlo Graziani; Jiali Wang; Rao Kotamarthi (CoRR, 2022)

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. - Shuaiwen Leon Song; Bonnie Kruft; Minjia Zhang; Conglong Li; Shiyang Chen 004; Chengming Zhang 006; Masahiro Tanaka; Xiaoxia Wu; Jeff Rasley; Ammar Ahmad Awan; Connor Holmes; Martin Cai; et al. (CoRR, 2023)

Scaling transformer neural networks for skillful and reliable medium-range weather forecasting. - Tung Nguyen; Rohan Shah; Hritik Bansal; Troy Arcomano; Romit Maulik; Rao Kotamarthi; Ian T. Foster; Sandeep Madireddy; Aditya Grover (NeurIPS, 2024)