44 citations · 181 across the 20 of their papers we have counts for
3 papers · 1 filter
Correcting motion induced fluorescence artifacts in two-channel neural imaging
Matthew S. Creamer, Kevin S. Chen, Andrew M. Leifer +1
Imaging neural activity in a behaving animal presents unique challenges in part because motion from an animal's movement creates artifacts in fluorescence intensity time-series tha…
Bayesian Active Learning for Discrete Latent Variable Models
Aditi Jha, Zoe C. Ashwood, Jonathan W. Pillow
Active learning seeks to reduce the amount of data required to fit the parameters of a model, thus forming an important class of techniques in modern machine learning. However, pas…
Loss-calibrated expectation propagation for approximate Bayesian decision-making
Michael J. Morais, Jonathan W. Pillow
Approximate Bayesian inference methods provide a powerful suite of tools for finding approximations to intractable posterior distributions. However, machine learning applications t…