Milica Todorovic

According to our database, Milica Todorovic authored at least 6 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Perspective: Towards sustainable exploration of chemical spaces with machine learning.

Leonardo Medrano Sandonas, David Balcells, Anton Bochkarev, Jacqueline M. Cole, Volker L. Deringer, Werner Dobrautz, Adrian Ehrenhofer, Thorben Frank, Pascal Friederich, Rico Friedrich, Janine George, Luca Ghiringhelli, Alejandra Hinostroza Caldas, Veronika Jurásková, Hannes Kneiding, Yury Lysogorskiy, Johannes T. Margraf, Hanna Türk, O. Anatole von Lilienfeld, Milica Todorovic, Alexandre Tkatchenko, Mariana Rossi, Gianaurelio Cuniberti

CoRR, April, 2026

Journal Research Data Policies in Materials Science.

Lukas Hörmann, Hemanadhan Myneni, Rwayda Kh. S. Al-Hamd, Katarina Batalovic, Silvia Bonfanti, Federico Grasselli, Saulius Grazulis, Bahattin Koç, Konstantinos Konstantinou, Ivor Loncaric, Nataliya Lopanitsyna, José Manuel Oliveira, Paolo Pegolo, Patrícia Ramos, Kevin Rossi, Sebastian P. Schwaminger, Edith Simmen, Milica Todorovic, Markus Stricker, Jonathan Schmidt

CoRR, March, 2026

2024

Active Learning of Molecular Data for Task-Specific Objectives.

Kunal Ghosh, Milica Todorovic, Aki Vehtari, Patrick Rinke

CoRR, 2024

2023

Exploring the Conformers of an Organic Molecule on a Metal Cluster with Bayesian Optimization.

Lincan Fang, Xiaomi Guo, Milica Todorovic, Patrick Rinke, Xi Chen

J. Chem. Inf. Model., February, 2023

2021

Efficient hyperparameter tuning for kernel ridge regression with Bayesian optimization.

Annika Stuke, Patrick Rinke, Milica Todorovic

Mach. Learn. Sci. Technol., 2021

2020

Projective Preferential Bayesian Optimization.

Petrus Mikkola, Milica Todorovic, Jari Järvi, Patrick Rinke, Samuel Kaski

Proceedings of the 37th International Conference on Machine Learning, 2020