How symmetry can come to the aid of machine learning | MIT News
Behrooz Tahmasebi — an MIT PhD student in the Department of Electrical Engineering and Computer Science (EECS) and an affiliate
Continue reading
Tag: geometric deep learning
Generating 3D Molecular Conformers via Equivariant Coarse-Graining and Aggregated Attention – The Berkeley Artificial Intelligence Research Blog
Figure 1: CoarsenConf architecture. Molecular conformer generation is a fundamental task in computational chemistry. The objective is to predict stable
Continue reading