Julien Martinelli

According to our database, Julien Martinelli authored at least 6 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Heteroscedastic Preferential Bayesian Optimization with Informative Noise Distributions.

Marshal Arijona Sinaga, Julien Martinelli, Vikas Garg, Samuel Kaski

CoRR, 2024

2023

Cost-aware learning of relevant contextual variables within Bayesian optimization.

Julien Martinelli, Ayush Bharti, S. T. John, Armi Tiihonen, Sabina Sloman, Louis Filstroff, Samuel Kaski

CoRR, 2023

Multi-Fidelity Bayesian Optimization with Unreliable Information Sources.

Petrus Mikkola, Julien Martinelli, Louis Filstroff, Samuel Kaski

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

On learning mechanistic models from time series data with applications to personalised chronotherapies. (Sur l'apprentissage automatique de modèles mécanistes à partir de données temporelles avec application aux chronothérapies personnalisées).

Julien Martinelli

PhD thesis, 2022

2021

Model learning to identify systemic regulators of the peripheral circadian clock.

Julien Martinelli, Sandrine Dulong, Xiao-Mei Li, Michèle Teboul, Sylvain Soliman, Francis Lévi, François Fages, Annabelle Ballesta

Bioinform., 2021

2019

On Inferring Reactions from Data Time Series by a Statistical Learning Greedy Heuristics.

Julien Martinelli, Jeremy Grignard, Sylvain Soliman, François Fages

Proceedings of the Computational Methods in Systems Biology, 2019