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Found 4 papers, 1 papers with code
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models
Proteins are macromolecules that mediate a significant fraction of the cellular processes that underlie life.
Fast fixed-backbone protein sequence and rotamer design
Protein fixed-backbone sequence design is an important task in computational protein design, and being able to quickly and accurately modify or redesign side-chains is a useful subroutine in the context of functional design problems such as ligand binding site, enzyme, and binder design.
Streamlining Variational Inference for Constraint Satisfaction Problems
Several algorithms for solving constraint satisfaction problems are based on survey propagation, a variational inference scheme used to obtain approximate marginal probability estimates for variable assignments.
Tight Variational Bounds via Random Projections and I-Projections
We show that information projections can be combined with random projections to obtain provable guarantees on the quality of the approximation obtained, regardless of the complexity of the original model.
