by Nina Omejc | Oct 29, 2026 | AI@JSI Seminar Upcoming
Tabular data is prevalent across many scientific domains, particularly in medicine and healthcare, where datasets are often heterogeneous, small but high-dimensional, and noisy. Despite recent advances in tabular foundation models, learning representations that...
by Nina Omejc | Jan 26, 2026 | AI@JSI Seminar
Many real-world systems—from physiology and neuroscience to climate and finance—are inherently non-stationary, operating far from equilibrium with structure that evolves in time. This talk presents a physical and data-driven framework for understanding such systems...
