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

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Liam Paninski

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

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

Disentangled sticky hierarchical Dirichlet process hidden Markov model

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

  Access Paper or Ask Questions

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

Discrete Neural Processes

Dec 28, 2018
Ari Pakman, Liam Paninski

* arXiv admin note: text overlap with arXiv:1811.09747 

  Access Paper or Ask Questions

Amortized Bayesian inference for clustering models

Nov 24, 2018
Ari Pakman, Liam Paninski

* Presented at [email protected] 2018 Workshop 

  Access Paper or Ask Questions

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

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

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

Stochastic Bouncy Particle Sampler

Jun 14, 2017
Ari Pakman, Dar Gilboa, David Carlson, Liam Paninski

* ICML Camera ready version 

  Access Paper or Ask Questions

Recurrent switching linear dynamical systems

Oct 26, 2016
Scott W. Linderman, Andrew C. Miller, Ryan P. Adams, David M. Blei, Liam Paninski, Matthew J. Johnson

* 15 pages, 6 figures 

  Access Paper or Ask Questions

Linear dynamical neural population models through nonlinear embeddings

Oct 25, 2016
Yuanjun Gao, Evan Archer, Liam Paninski, John P. Cunningham

* NIPS 2016 

  Access Paper or Ask Questions

Robust and scalable Bayesian analysis of spatial neural tuning function data

Jun 24, 2016
Kamiar Rahnama Rad, Timothy A. Machado, Liam Paninski

  Access Paper or Ask Questions

Partition Functions from Rao-Blackwellized Tempered Sampling

May 25, 2016
David Carlson, Patrick Stinson, Ari Pakman, Liam Paninski

* 15 pages, 8 figures; Appearing at International Conference on Machine Learning 2016 

  Access Paper or Ask Questions

Neuroprosthetic decoder training as imitation learning

Mar 14, 2016
Josh Merel, David Carlson, Liam Paninski, John P. Cunningham

  Access Paper or Ask Questions

Black box variational inference for state space models

Nov 23, 2015
Evan Archer, Il Memming Park, Lars Buesing, John Cunningham, Liam Paninski

  Access Paper or Ask Questions