460 citations · 723 across the 6 of their papers we have counts for
6 papers
Is there a robust effect of mainland mutualism rates on species richness of oceanic islands?
Maximilian Pichler, Florian Hartig
In island biogeography, it is widely accepted that species richness on island depends on the area and isolation of the island as well as the species pool on the mainland. Delavaux…
Can predictive models be used for causal inference?
Maximilian Pichler, Florian Hartig
Supervised machine learning (ML) and deep learning (DL) algorithms excel at predictive tasks, but it is commonly assumed that they often do so by exploiting non-causal correlations…
cito: An R package for training neural networks using torch
Christian Amesoeder, Florian Hartig, Maximilian Pichler
Deep Neural Networks (DNN) have become a central method in ecology. Most current deep learning (DL) applications rely on one of the major deep learning frameworks, in particular To…
Machine Learning and Deep Learning -- A review for Ecologists
Maximilian Pichler, Florian Hartig
1. The popularity of Machine learning (ML), Deep learning (DL), and Artificial intelligence (AI) has risen sharply in recent years. Despite this spike in popularity, the inner work…
A new method for faster and more accurate inference of species associations from big community data
Maximilian Pichler, Florian Hartig
1. Joint Species Distribution models (JSDMs) explain spatial variation in community composition by contributions of the environment, biotic associations, and possibly spatially str…
Machine learning algorithms to infer trait-matching and predict species interactions in ecological networks
Maximilian Pichler, Virginie Boreux, Alexandra-Maria Klein +2
Ecologists have long suspected that species are more likely to interact if their traits match in a particular way. For example, a pollination interaction may be more likely if the…