PABBO: Preferential Amortized Black-Box Optimization.

Julien Martinelli Xinyu Zhang Daolang Huang Samuel Kaski Julien Martinelli PABBO: Preferential Amortized Black-Box Optimization. 2025 ICLR https://openreview.net/forum?id=YhfrKB3Ah7 conf/iclr/2025 db/conf/iclr/iclr2025.html#ZhangHKM25 Sabina J. Sloman Julien Martinelli Samuel Kaski Proxy-informed Bayesian transfer learning with unknown sources. 3958-3978 2025 UAI https://proceedings.mlr.press/v286/sloman25a.html conf/uai/2025 db/conf/uai/uai2025.html#SlomanMK25 streams/conf/uai

Xinyu Zhang Daolang Huang Samuel Kaski Julien Martinelli PABBO: Preferential Amortized Black-Box Optimization. 2025 March abs/2503.00924 CoRR https://doi.org/10.48550/arXiv.2503.00924 db/journals/corr/corr2503.html#abs-2503-00924 streams/journals/corr

Xinyu Zhang Julien Martinelli ST John Challenges in interpretability of additive models. 2025 April abs/2504.10169 CoRR https://doi.org/10.48550/arXiv.2504.10169 db/journals/corr/corr2504.html#abs-2504-10169 streams/journals/corr

Marshal Arijona Sinaga Julien Martinelli Samuel Kaski Robust and Computation-Aware Gaussian Processes. 2025 May abs/2505.21133 CoRR https://doi.org/10.48550/arXiv.2505.21133 db/journals/corr/corr2505.html#abs-2505-21133 streams/journals/corr

Clémence Métayer Annabelle Ballesta Julien Martinelli Data-driven Discovery of Digital Twins in Biomedical Research. 2025 August abs/2508.21484 CoRR https://doi.org/10.48550/arXiv.2508.21484 db/journals/corr/corr2508.html#abs-2508-21484 streams/journals/corr

Julien Martinelli Position: Biology is the Challenge Physics-Informed ML Needs to Evolve. 2025 October abs/2510.25368 CoRR https://doi.org/10.48550/arXiv.2510.25368 db/journals/corr/corr2510.html#abs-2510-25368 streams/journals/corr

Xinyu Zhang Conor Hassan Julien Martinelli Daolang Huang Samuel Kaski In-Context Multi-Objective Optimization. 2025 December abs/2512.11114 CoRR https://doi.org/10.48550/arXiv.2512.11114 db/journals/corr/corr2512.html#abs-2512-11114 streams/journals/corr

Yasmine Nahal Janosch Menke Julien Martinelli Markus Heinonen Mikhail Kabeshov Jon Paul Janet Eva Nittinger Ola Engkvist Samuel Kaski Human-in-the-loop active learning for goal-oriented molecule generation. 138 2024 December 16 J. Cheminformatics 1 https://doi.org/10.1186/s13321-024-00924-y db/journals/jcheminf/jcheminf16.html#NahalMMHKJNEK24 streams/journals/jcheminf

Julien Martinelli Ayush Bharti Armi Tiihonen S. T. John Louis Filstroff Sabina J. Sloman Patrick Rinke Samuel Kaski Learning relevant contextual variables within Bayesian optimization. 2450-2470 2024 UAI https://proceedings.mlr.press/v244/martinelli24a.html conf/uai/2024 db/conf/uai/uai2024.html#MartinelliBTJFS24 Sabina J. Sloman Ayush Bharti Julien Martinelli Samuel Kaski Bayesian Active Learning in the Presence of Nuisance Parameters. 3245-3263 2024 UAI https://proceedings.mlr.press/v244/sloman24a.html conf/uai/2024 db/conf/uai/uai2024.html#SlomanBMK24

Marshal Arijona Sinaga Julien Martinelli Vikas Garg 0001 Samuel Kaski Heteroscedastic Preferential Bayesian Optimization with Informative Noise Distributions. 2024 abs/2405.14657 CoRR https://doi.org/10.48550/arXiv.2405.14657 db/journals/corr/corr2405.html#abs-2405-14657

Sabina J. Sloman Julien Martinelli Samuel Kaski Proxy-informed Bayesian transfer learning with unknown sources. 2024 abs/2411.03263 CoRR https://doi.org/10.48550/arXiv.2411.03263 db/journals/corr/corr2411.html#abs-2411-03263 streams/journals/corr

Petrus Mikkola Julien Martinelli Louis Filstroff Samuel Kaski Multi-Fidelity Bayesian Optimization with Unreliable Information Sources. 7425-7454 2023 AISTATS https://proceedings.mlr.press/v206/mikkola23a.html conf/aistats/2023 db/conf/aistats/aistats2023.html#MikkolaMFK23

Julien Martinelli Ayush Bharti S. T. John Armi Tiihonen Sabina Sloman Louis Filstroff Samuel Kaski Cost-aware learning of relevant contextual variables within Bayesian optimization. 2023 abs/2305.14120 CoRR https://doi.org/10.48550/arXiv.2305.14120 db/journals/corr/corr2305.html#abs-2305-14120

Julien Martinelli 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). 2022 Polytechnic Institute of Paris, Palaiseau, France https://tel.archives-ouvertes.fr/tel-03686289

Petrus Mikkola Julien Martinelli Louis Filstroff Samuel Kaski Multi-Fidelity Bayesian Optimization with Unreliable Information Sources. 2022 abs/2210.13937 CoRR https://doi.org/10.48550/arXiv.2210.13937 db/journals/corr/corr2210.html#abs-2210-13937

Julien Martinelli Sandrine Dulong Xiao-Mei Li Michèle Teboul Sylvain Soliman Francis Lévi François Fages Annabelle Ballesta Model learning to identify systemic regulators of the peripheral circadian clock. 401-409 2021 37 Bioinform. Supplement https://doi.org/10.1093/bioinformatics/btab297 db/journals/bioinformatics/bioinformatics37.html#MartinelliDLTSL21

Julien Martinelli Jeremy Grignard Sylvain Soliman François Fages On Inferring Reactions from Data Time Series by a Statistical Learning Greedy Heuristics. 352-355 2019 CMSB https://doi.org/10.1007/978-3-030-31304-3_25 conf/cmsb/2019 db/conf/cmsb/cmsb2019.html#MartinelliGSF19 Annabelle Ballesta Ayush Bharti Sandrine Dulong Ola Engkvist François Fages Louis Filstroff Vikas Garg 0001 Jeremy Grignard Conor Hassan Markus Heinonen Daolang Huang Jon Paul Janet S. T. John ST John Mikhail Kabeshov Samuel Kaski Francis Lévi Xiao-Mei Li Janosch Menke Clémence Métayer Petrus Mikkola Yasmine Nahal Eva Nittinger Patrick Rinke Marshal Arijona Sinaga Sabina SlomanSabina J. Sloman Sylvain Soliman Michèle Teboul Armi Tiihonen Xinyu Zhang