R. Mikut

On the Encoding of Calendar Features in Covariate-Informed Time Series Foundation Models

Time series foundation models (TSFMs) increasingly offer covariate support, with calendar information being the most common type of categorical covariate in practice, as it is available for every point in time. However, how these features are encoded is largely treated as an implementation detail rather than as an obje...

From pixels to patterns: the AI revolution in stem cell-derived models

It is argued that AI is not merely an analytical tool, but a discovery engine that enhances reproducibility, accelerates insight and brings us closer to a mechanistic understanding of self-organization in complex stem cell-derived systems.

Evaluating Time-Series Foundation Models for Cooling Demand Forecasting with Little Data