Search Results for author:
Found 2 papers, 0 papers with code
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation
Proteins are essential for almost all biological processes and derive their diverse functions from complex 3D structures, which are in turn determined by their amino acid sequences.
GSNs : Generative Stochastic Networks
We introduce a novel training principle for probabilistic models that is an alternative to maximum likelihood.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
