2 citations · 3 across the 2 of their papers we have counts for
3 papers
ProteinGuide: On-the-fly property guidance for protein sequence generative models
Junhao Xiong, Ishan Gaur, Maria Lukarska +4
Sequence generative models are transforming protein engineering. However, no principled framework exists for conditioning these models on auxiliary information, such as experimenta…
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
Hunter Nisonoff, Junhao Xiong, Stephan Allenspach +1
Generative models on discrete state-spaces have a wide range of potential applications, particularly in the domain of natural sciences. In continuous state-spaces, controllable and…
Augmenting Neural Networks with Priors on Function Values
Hunter Nisonoff, Yixin Wang, Jennifer Listgarten
The need for function estimation in label-limited settings is common in the natural sciences. At the same time, prior knowledge of function values is often available in these domai…