Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

SemiMultiPose: A Semi-supervised Multi-animal Pose Estimation Framework


Apr 14, 2022
Ari Blau, Christoph Gebhardt, Andres Bendesky, Liam Paninski, Anqi Wu

* 10 pages, 7 figures, preprint 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Attentive Clustering Processes


Oct 29, 2020
Ari Pakman, Yueqi Wang, Yoonho Lee, Pallab Basu, Juho Lee, Yee Whye Teh, Liam Paninski


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A zero-inflated gamma model for deconvolved calcium imaging traces


Jun 05, 2020
Xue-Xin Wei, Ding Zhou, Andres Grosmark, Zaki Ajabi, Fraser Sparks, Pengcheng Zhou, Mark Brandon, Attila Losonczy, Liam Paninski

* Neurons, Behavior, Data Analysis, and Theory, 2020 
* Accepted for publication in Neurons, Behavior, Data analysis, and Theory 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Disentangled sticky hierarchical Dirichlet process hidden Markov model


Apr 06, 2020
Ding Zhou, Yuanjun Gao, Liam Paninski


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

General linear-time inference for Gaussian Processes on one dimension


Mar 11, 2020
Jackson Loper, David Blei, John P. Cunningham, Liam Paninski

* 36 pages, 5 figures, submitted to ICML 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Discrete Neural Processes


Dec 28, 2018
Ari Pakman, Liam Paninski

* arXiv admin note: text overlap with arXiv:1811.09747 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Amortized Bayesian inference for clustering models


Nov 24, 2018
Ari Pakman, Liam Paninski

* Presented at [email protected] 2018 Workshop 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A Novel Variational Family for Hidden Nonlinear Markov Models


Nov 06, 2018
Daniel Hernandez, Antonio Khalil Moretti, Ziqiang Wei, Shreya Saxena, John Cunningham, Liam Paninski

* 6 figs, Submitted to ICLR 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Penalized matrix decomposition for denoising, compression, and improved demixing of functional imaging data


Jul 17, 2018
E. Kelly Buchanan, Ian Kinsella, Ding Zhou, Rong Zhu, Pengcheng Zhou, Felipe Gerhard, John Ferrante, Ying Ma, Sharon Kim, Mohammed Shaik, Yajie Liang, Rongwen Lu, Jacob Reimer, Paul Fahey, Taliah Muhammad, Graham Dempsey, Elizabeth Hillman, Na Ji, Andreas Tolias, Liam Paninski

* 36 pages, 18 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Reparameterizing the Birkhoff Polytope for Variational Permutation Inference


Oct 26, 2017
Scott W. Linderman, Gonzalo E. Mena, Hal Cooper, Liam Paninski, John P. Cunningham


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
>>