3 papers
stat.ML2026
Time-Aware Latent Space Bayesian Optimization
Tuan A. Vu, Julien Martinelli, Harri Lähdesmäki
Latent-space Bayesian optimization (LSBO) extends Bayesian optimization to structured domains, such as molecular design, by searching in the continuous latent space of a generative…
cs.LG2025
Position: Biology is the Challenge Physics-Informed ML Needs to Evolve
Julien Martinelli
Physics-Informed Machine Learning (PIML) has successfully integrated mechanistic understanding into machine learning, particularly in domains governed by well-known physical laws.…
q-bio.QM2025
Data-driven Discovery of Digital Twins in Biomedical Research
Clémence Métayer, Annabelle Ballesta, Julien Martinelli
Recent technological advances have expanded the availability of high-throughput biological datasets, enabling the reliable design of digital twins of biomedical systems or patients…