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cs.LG2026
Applying the maximum entropy principle to neural networks enhances multi-species distribution models
Maxime Ryckewaert, Diego Marcos, Christophe Botella +3
The rapid expansion of citizen science initiatives has led to a significant growth of biodiversity databases, and particularly presence-only (PO) observations. PO data are invaluab…
cs.LG2024
MALPOLON: A Framework for Deep Species Distribution Modeling
Theo Larcher, Lukas Picek, Benjamin Deneu +3
This paper describes a deep-SDM framework, MALPOLON. Written in Python and built upon the PyTorch library, this framework aims to facilitate training and inferences of deep species…