25 citations · 35 across the 11 of their papers we have counts for
3 papers · 1 filter
Calibrating Generative Models to Feature Distributions with MMD Finetuning
Nathaniel L. Diamant, Brian L. Trippe
Generative models can produce individually plausible samples while deviating substantially from a target set in the distribution of key features. For example, a model pretrained on…
MotifBench: A standardized protein design benchmark for motif-scaffolding problems
Zhuoqi Zheng, Bo Zhang, Kieran Didi +5
The motif-scaffolding problem is a central task in computational protein design: Given the coordinates of atoms in a geometry chosen to confer a desired biochemical function (a mot…
SE(3) diffusion model with application to protein backbone generation
Jason Yim, Brian L. Trippe, Valentin De Bortoli +4
The design of novel protein structures remains a challenge in protein engineering for applications across biomedicine and chemistry. In this line of work, a diffusion model over ri…