2 papers
math.ST2025
Effective regions and kernels in continuous sparse regularisation, with application to sketched mixtures
Yohann De Castro, Rémi Gribonval, Nicolas Jouvin
This paper advances the general theory of continuous sparse regularisation on measures with the Beurling-LASSO (BLASSO). This TV-regularised convex program on the space of measures…
stat.ML2024
jinns: a JAX Library for Physics-Informed Neural Networks
Hugo Gangloff, Nicolas Jouvin
jinns is an open-source Python library for physics-informed neural networks, built to tackle both forward and inverse problems, as well as meta-model learning. Rooted in the JAX ec…