D. Matyushin

In-Context Learning Meets Small Molecule Property Prediction: Benchmarking Novel Machine Learning Approaches.

Recently, a new category of machine learning approaches for tabular data has emerged: tabular foundation models (TFM), based on in-context learning. A TFM is a neural network (usually a transformer) pretrained primarily on synthetic data. Its input is an entire data set: features and labels for training records, along...