45 citations · 129 across the 21 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.CE2024★ 10 cited
On the Effectiveness of Neural Operators at Zero-Shot Weather Downscaling
Saumya Sinha, Brandon Benton, Patrick Emami
Machine learning (ML) methods have shown great potential for weather downscaling. These data-driven approaches provide a more efficient alternative for producing high-resolution we…
cs.LG2024★ 2 cited
SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems
Patrick Emami, Zhaonan Li, Saumya Sinha +1
Surrogate models are used to predict the behavior of complex energy systems that are too expensive to simulate with traditional numerical methods. Our work introduces the use of la…
cs.AI2024★ 2 cited
Three Pathways to Neurosymbolic Reinforcement Learning with Interpretable Model and Policy Networks
Peter Graf, Patrick Emami
Neurosymbolic AI combines the interpretability, parsimony, and explicit reasoning of classical symbolic approaches with the statistical learning of data-driven neural approaches. M…