ML Anthology

Martinelli, Julien

11 publications

ICLR 2025 PABBO: Preferential Amortized Black-Box Optimization Xinyu Zhang, Daolang Huang, Samuel Kaski, Julien Martinelli
NeurIPS 2025 Position: Biology Is the Challenge Physics-Informed ML Needs to Evolve Julien Martinelli
UAI 2025 Proxy-Informed Bayesian Transfer Learning with Unknown Sources Sabina J. Sloman, Julien Martinelli, Samuel Kaski
NeurIPS 2025 Robust and Computation-Aware Gaussian Processes Marshal Arijona Sinaga, Julien Martinelli, Samuel Kaski
UAI 2024 Bayesian Active Learning in the Presence of Nuisance Parameters Sabina J. Sloman, Ayush Bharti, Julien Martinelli, Samuel Kaski
NeurIPSW 2024 Computation-Aware Robust Gaussian Processes Marshal Arijona Sinaga, Julien Martinelli, Samuel Kaski
UAI 2024 Learning Relevant Contextual Variables Within Bayesian Optimization Julien Martinelli, Ayush Bharti, Armi Tiihonen, S. T. John, Louis Filstroff, Sabina J. Sloman, Patrick Rinke, Samuel Kaski
NeurIPSW 2023 Learning Relevant Contextual Variables Within Bayesian Optimization Julien Martinelli, Ayush Bharti, Armi Tiihonen, Louis Filstroff, S. T. John, Sabina J. Sloman, Patrick Rinke, Samuel Kaski
NeurIPSW 2023 Leveraging Expert Feedback to Align Proxy and Ground Truth Rewards in Goal-Oriented Molecular Generation Julien Martinelli, Yasmine Nahal, Duong Lê, Ola Engkvist, Samuel Kaski
AISTATS 2023 Multi-Fidelity Bayesian Optimization with Unreliable Information Sources Petrus Mikkola, Julien Martinelli, Louis Filstroff, Samuel Kaski
NeurIPSW 2023 Preferential Heteroscedastic Bayesian Optimization with Informative Noise Priors Marshal Arijona Sinaga, Julien Martinelli, Samuel Kaski