19 citations · 19 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 19 cited
Plug & Play Directed Evolution of Proteins with Gradient-based Discrete MCMC
Patrick Emami, Aidan Perreault, Jeffrey Law +2
A long-standing goal of machine-learning-based protein engineering is to accelerate the discovery of novel mutations that improve the function of a known protein. We introduce a sa…
cs.CV2022
Towards Improving the Generation Quality of Autoregressive Slot VAEs
Patrick Emami, Pan He, Sanjay Ranka +1
Unconditional scene inference and generation are challenging to learn jointly with a single compositional model. Despite encouraging progress on models that extract object-centric…