112 citations · 239 across the 8 of their papers we have counts for
4 papers · 1 filter
Generating and designing DNA with deep generative models
Nathan Killoran, Leo J. Lee, Andrew Delong +2
We propose generative neural network methods to generate DNA sequences and tune them to have desired properties. We present three approaches: creating synthetic DNA sequences using…
Variational Learning in Mixed-State Dynamic Graphical Models
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang
Many real-valued stochastic time-series are locally linear (Gassian), but globally non-linear. For example, the trajectory of a human hand gesture can be viewed as a linear dynamic…
Learning Generative Models of Similarity Matrices
Romer Rosales, Brendan J. Frey
We describe a probabilistic (generative) view of affinity matrices along with inference algorithms for a subclass of problems associated with data clustering. This probabilistic vi…
Fast Exact Inference for Recursive Cardinality Models
Daniel Tarlow, Kevin Swersky, Richard S. Zemel +2
Cardinality potentials are a generally useful class of high order potential that affect probabilities based on how many of D binary variables are active. Maximum a posteriori (MAP)…