Schedule: Summer School on Machine Learning for Scientific Research
- Intro to PSI:ML – Ivan Milić, Marko Simonović, Mateja Bošković
- Core ML 1: Intro to statistical learning – Miroslav Živanović
- Core ML 2: Intro to Bayesian Inference – Ivan Milić
- Core ML 3: Foundations of neural networks – Vladisav Jelisavčić
- Bayesian Deep Learning – Andrija Petrović
- Hierarchical Bayesian Models – Olivera Stojanović
- AI in Security – Bojan Kološnjaji
- Causal Inference – Petra Laketa
- Active Learning – Andjelka Zečević
- Uncertainty Estimation – Danijela Horak
- Discovery with unsupervised learning – Alex Razim
- Bayesian Optimization of Chemical Reactions – Bojana Ranković, Vera Milovanović
- Operator Learning 1 – Bogdan Raonić
- Operator Learning 2 – Bogdan Raonić
- Remote Sensing – Danilo Đorđević
- Seismology (Sequential learning) – Danilo Đorđević
- Operator Learning 3 – Bogdan Raonić
- Graph NNs – Vladimir Gligorijević
- Generative AI in drug discovery – Vladimir Gligorijević
- Reinforcement Learning – Nemanja Rakićević
