1.7k citations · 2.1k across the 41 of their papers we have counts for
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Paraformer: Parameterization of Sub-grid Scale Processes Using Transformers
Shuochen Wang, Nishant Yadav, Auroop R. Ganguly
One of the major sources of uncertainty in the current generation of Global Climate Models (GCMs) is the representation of sub-grid scale physical processes. Over the years, a seri…
Finer resolutions and targeted process representations in earth systems models improve hydrologic projections and hydroclimate impacts
Puja Das, Auroop R. Ganguly
Earth system models inform water policy and interventions, but knowledge gaps in hydrologic representations limit the credibility of projections and impacts assessments. The litera…
Hybrid physics-AI outperforms numerical weather prediction for extreme precipitation nowcasting
Puja Das, August Posch, Nathan Barber +6
Precipitation nowcasting, critical for flood emergency and river management, has remained challenging for decades, although recent developments in deep generative modeling (DGM) su…
Topological Determinants of Resilience in Urban Rail Networks Facing Multi-Hazard Disruptions
Ashis Kumar Pal, Auroop R. Ganguly
This study examines the failure and recovery, two key components of resilience of nine major urban rail networks - Washington DC, Boston, Chicago, Delhi, Tokyo, Paris, Shanghai, Lo…
Assessing the Impact of Distribution Shift on Reinforcement Learning Performance
Ted Fujimoto, Joshua Suetterlein, Samrat Chatterjee +1
Research in machine learning is making progress in fixing its own reproducibility crisis. Reinforcement learning (RL), in particular, faces its own set of unique challenges. Compar…