Розклад

Лекції будуть проводитися з 13:00 до 19:00 у четвер (11.04), п'ятницю (12.04) та з 11:00 до 19:00 у суботу (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”

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”

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”