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Marie-Amélie Boucher

Université de Sherbrooke

2500 bd de l'Universite

Sherbrooke, Québec J1K 2R1

Canada

SCHOLARLY PAPERS

2

DOWNLOADS

120

TOTAL CITATIONS

1

Scholarly Papers (2)

1.

A Causal Physics-Informed Deep Learning Formulation for Groundwater Flow Modeling and Climate Change Effect Analysis

Number of pages: 57 Posted: 04 Nov 2023
affiliation not provided to SSRN, affiliation not provided to SSRN, Université de Sherbrooke, Ouranos and Ouranos
Downloads 67 (899,089)
Citation 1

Abstract:

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Physics-informed neural networks, Causality, Interpretability, Machine Learning, Climate change, Groundwater modeling

2.

Optimal Credible Warnings

CRREP working paper series 2018-13
Number of pages: 29 Posted: 21 Aug 2018
Koffi Akakpo, Marie-Amélie Boucher and Vincent Boucher
Université Laval - Département d'Économique, Université de Sherbrooke and Université Laval
Downloads 53 (1,030,766)

Abstract:

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Flood warnings, Renewable resource management, Uncertainty