YouTube video by César Leblanc

Differentiable programming encompasses methods for computing the gradient of a numerical model’s output. As a cornerstone of modern scientific computing, it presents immense opportunities to enhance our understanding and prediction of natural systems. In this talk, I will introduce the fundamental concepts of differentiable programming, present the available toolbox for practitioners, share lessons learned from a user perspective, and showcase three research projects from my portfolio that leverage differentiable programming to advance ecological research: predicting spatial biodiversity patterns, modeling ecological community dynamics, and optimizing biodiversity conservation planning. Through this talk, I aim to illustrate how differentiable programming can accelerate the integration of scientific models and data, a crucial step toward building interpretable models with robust extrapolation capabilities.

Abstract. Mango (Mangifera indica L.), a leading tropical fruit crop, is a prime candidate for intensification through modern orchard-management techniques

Premise The Glossopteridales are an extinct group of seed plants that dominated mid to high latitude floras of the supercontinent Gondwana during the Permian (298–251 million years ago). Reconstruct.....

Pl@ntNet a eu le plaisir d’accueillir ces deux dernières semaines Étienne Laliberté, chercheur au MILA (Montréal Institute for Learning Algorithms). Actuellement en visite à Montpellier, il a échangé ...

The first training session on the use of the Pl@ntNet application in Uganda was recently held. Five one-day training sessions, combining both theoretical and practical components, took place at the .....

Aim Global forests face increasing stresses from novel climate states, altered disturbance regimes and the spread of pests and pathogens. Understanding where and when mortality occurs across species...

Negative density dependence persisted for up to 5 years after tree death, but with interspecific variation. Although stabilising niche differences were large, fitness differences–at the seedling life...