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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 2Source ↗PDF ↗Scholar ↗
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 20Source ↗PDF ↗Scholar ↗