Julien Martinelli

20 papers A* 1A 4Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Time-Aware Latent Space Bayesian Optimization. CoRR Tuan A. Vu, Julien Martinelli, Harri Lähdesmäki
2025	J	`jnl`	Challenges in interpretability of additive models. CoRR Xinyu Zhang, Julien Martinelli, St John
2025	J	`jnl`	Data-driven Discovery of Digital Twins in Biomedical Research. CoRR Clémence Métayer, Annabelle Ballesta, Julien Martinelli
2025	J	`jnl`	In-Context Multi-Objective Optimization. CoRR Xinyu Zhang, Conor Hassan, Julien Martinelli, Daolang Huang, Samuel Kaski
2025	A*	`conf`	PABBO: Preferential Amortized Black-Box Optimization. ICLR Xinyu Zhang, Daolang Huang, Samuel Kaski, Julien Martinelli
2025	J	`jnl`	PABBO: Preferential Amortized Black-Box Optimization. CoRR Xinyu Zhang, Daolang Huang, Samuel Kaski, Julien Martinelli
2025	J	`jnl`	Position: Biology is the Challenge Physics-Informed ML Needs to Evolve. CoRR Julien Martinelli
2025	A	`conf`	Proxy-informed Bayesian transfer learning with unknown sources. UAI Sabina J. Sloman, Julien Martinelli, Samuel Kaski
2025	J	`jnl`	Robust and Computation-Aware Gaussian Processes. CoRR Marshal Arijona Sinaga, Julien Martinelli, Samuel Kaski
2024	A	`conf`	Bayesian Active Learning in the Presence of Nuisance Parameters. UAI Sabina J. Sloman, Ayush Bharti, Julien Martinelli, Samuel Kaski
2024	J	`jnl`	Heteroscedastic Preferential Bayesian Optimization with Informative Noise Distributions. CoRR Marshal Arijona Sinaga, Julien Martinelli, Vikas Garg, Samuel Kaski
2024	J	`jnl`	Human-in-the-loop active learning for goal-oriented molecule generation. J. Cheminformatics Yasmine Nahal, Janosch Menke, Julien Martinelli, Markus Heinonen, Mikhail Kabeshov, Jon Paul Janet, Eva Nittinger, Ola Engkvist, Samuel Kaski
2024	A	`conf`	Learning relevant contextual variables within Bayesian optimization. UAI Julien Martinelli, Ayush Bharti, Armi Tiihonen, S. T. John, Louis Filstroff, Sabina J. Sloman, Patrick Rinke, Samuel Kaski
2024	J	`jnl`	Proxy-informed Bayesian transfer learning with unknown sources. CoRR Sabina J. Sloman, Julien Martinelli, Samuel Kaski
2023	J	`jnl`	Cost-aware learning of relevant contextual variables within Bayesian optimization. CoRR Julien Martinelli, Ayush Bharti, S. T. John, Armi Tiihonen, Sabina Sloman, Louis Filstroff, Samuel Kaski
2023	A	`conf`	Multi-Fidelity Bayesian Optimization with Unreliable Information Sources. AISTATS Petrus Mikkola, Julien Martinelli, Louis Filstroff, Samuel Kaski
2022	J	`jnl`	Multi-Fidelity Bayesian Optimization with Unreliable Information Sources. CoRR Petrus Mikkola, Julien Martinelli, Louis Filstroff, Samuel Kaski
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
2021	J	`jnl`	Model learning to identify systemic regulators of the peripheral circadian clock. Bioinform. Julien Martinelli, Sandrine Dulong, Xiao-Mei Li, Michèle Teboul, Sylvain Soliman, Francis Lévi, François Fages, Annabelle Ballesta
2019	—	`conf`	On Inferring Reactions from Data Time Series by a Statistical Learning Greedy Heuristics. CMSB Julien Martinelli, Jeremy Grignard, Sylvain Soliman, François Fages