We introduce FEEL, a benchmarking study evaluating 19 emotion datasets based on physiological signals, uncovering key insights into their generalizability and cross-dataset transferability.

Learning to forecast in the transformed domain improves forecasting performance.

We introduce the first ever transient flow dataset for benchmarking ML for chemistry, focusing on time-series data for solvent selection.