3 papers
stat.ML2025
HyperSBINN: A Hypernetwork-Enhanced Systems Biology-Informed Neural Network for Efficient Drug Cardiosafety Assessment
Inass Soukarieh, Gerhard Hessler, Hervé Minoux +6
Mathematical modeling in systems toxicology enables a comprehensive understanding of the effects of pharmaceutical substances on cardiac health. However, the complexity of these mo…
stat.ML2025
A new class of Markov random fields enabling lightweight sampling
Jean-Baptiste Courbot, Hugo Gangloff, Bruno Colicchio
This work addresses the problem of efficient sampling of Markov random fields (MRF). The sampling of Potts or Ising MRF is most often based on Gibbs sampling, and is thus computati…
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…