Seminar on Euclidean Fast Attention for Atomic Modeling by Thorben F.
— Join us for a seminar by Thorben Frank on Friday, May 16, at 3:00 PM in MXG 312. Thorben is a PhD student in the Machine Learning Group at TU Berlin and the Berlin Institute for the Foundations of Learning and Data (BIFOLD). His work focuses on developing machine learning methods for quantum chemistry, combining geometric deep learning with message passing neural networks, to shape a new generation of machine learning force fields.
