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Arlei Lopes da Silva

2 accepted papers

2024

Pluvial Flood Emulation with Hydraulics-informed Message Passing

ICML 2024poster

Machine Learning (ML) has emerged as a promising alternative to numerical methods for physics-based simulation due to its flexibility and efficiency. Flood modeling is a key case study for ML-based simulation due to its relevance as a tool for supporting preventive and emergency measures to mitigate…

Cited by 2SourcePDFScholar
2021

Combining Physics and Machine Learning for Network Flow Estimation

ICLR 2021poster

The flow estimation problem consists of predicting missing edge flows in a network (e.g., traffic, power, and water) based on partial observations. These missing flows depend both on the underlying \textit{physics} (edge features and a flow conservation law) as well as the observed edge flows. This…

Cited by 20SourcePDFScholar