1 citations · 1 across the 4 of their papers we have counts for
4 papers
Reward Weighted Classifier-Free Guidance as Policy Improvement in Autoregressive Models
Alexander Peysakhovich, William Berman
Consider an auto-regressive model that produces outputs x (e.g., answers to questions, molecules) each of which can be summarized by an attribute vector y (e.g., helpfulness vs. ha…
MONET -- Virtual Cell Painting of Brightfield Images and Time Lapses Using Reference Consistent Diffusion
Alexander Peysakhovich, William Berman, Joseph Rufo +2
Cell painting is a popular technique for creating human-interpretable, high-contrast images of cell morphology. There are two major issues with cell paint: (1) it is labor-intensiv…
MUMU: Bootstrapping Multimodal Image Generation from Text-to-Image Data
William Berman, Alexander Peysakhovich
We train a model to generate images from multimodal prompts of interleaved text and images such as "a <picture of a man> man and his <picture of a dog> dog in an <picture of a cart…
aMUSEd: An Open MUSE Reproduction
Suraj Patil, William Berman, Robin Rombach +1
We present aMUSEd, an open-source, lightweight masked image model (MIM) for text-to-image generation based on MUSE. With 10 percent of MUSE's parameters, aMUSEd is focused on fast…