Search Results for author:
Found 2 papers, 1 papers with code
Advancing Extrapolative Predictions of Material Properties through Learning to Learn
Recent advancements in machine learning have showcased its potential to significantly accelerate the discovery of new materials.
Transfer learning with affine model transformation
Supervised transfer learning has received considerable attention due to its potential to boost the predictive power of machine learning in scenarios where data are scarce.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
