2 papers
cs.LG2026
Applications of temporal graph learning for predicting the dynamics of biological systems
Manuel Dileo, Andrea Sottoriva
Biological foundation models have shown strong performance in single-cell representation learning by applying transformer architectures directly to gene-expression matrices. Howeve…
cs.AI2025
Mixtures of Neural Cellular Automata: A Stochastic Framework for Growth Modelling and Self-Organization
Salvatore Milite, Giulio Caravagna, Andrea Sottoriva
Neural Cellular Automata (NCAs) are a promising new approach to model self-organizing processes, with potential applications in life science. However, their deterministic nature li…