Schedule
Lectures will be held from 13:00 to 19:00 on Thursday (11.04), Friday (12.04) and 11:00 to 19:00 on Saturday (13.04).
Thursday 11.04
13:00-15:20: Vitalii Tymchyshyn – “Topological data analysis for cosmology”
15:30-16:40: Olga Gogota – “Machine learning for neutrino physics experiments”
16:50-17:20: Mykhailo Koreshkov – “Approaches to texture classification for biological microscopic photography”
Friday 12.04
12:30-14:15: Oleksandr Isayev – “Neural networks learning quantum mechanics”
14:20-15:50: Tong Li – “FAIR image analysis: unveiling Insights through reproducibility in Image-based spatial transcriptomics”
16:00-17:15: Jiří Vyskočil – “High-energy laser-plasma interactions”
17:20-17:50: Denys Klekots – “Machine learning for signal/background discrimination in high energy physics”
Saturday 13.04
11:00-12:15: Oleksii Ignatenko – “Shapley values for explainable machine learning”
12:20-14:10: Mykola Korablov – “Non-smooth optimization in machine learning: review of N.Z. Shor's methods and their applications”
14:50-15:20: Oleksandr Petrenko – “Development of machine learning models for biomedical applications”
15:30-16:25: Nitesh V. Chawla – “AI for science & society”
16:30-17:00: Oleksandr Petrenko – “Machine learning in high-throughput biology experiments: state of the art”
17:00-19:15: Alina Frolova – “Metagenomics applications”