Julien Martinelli

According to our database1, Julien Martinelli authored at least 6 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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In proceedings 
Article 
PhD thesis 
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Links

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Bibliography

2024
Heteroscedastic Preferential Bayesian Optimization with Informative Noise Distributions.
CoRR, 2024

2023
Cost-aware learning of relevant contextual variables within Bayesian optimization.
CoRR, 2023

Multi-Fidelity Bayesian Optimization with Unreliable Information Sources.
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).
PhD thesis, 2022

2021
Model learning to identify systemic regulators of the peripheral circadian clock.
Bioinform., 2021

2019
On Inferring Reactions from Data Time Series by a Statistical Learning Greedy Heuristics.
Proceedings of the Computational Methods in Systems Biology, 2019


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