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BLACK BOX VARIATIONAL INFERENCE FOR STATE SPACE MODELS
- Evan Archer, Il Memming Park, Lars Buesing, J. Cunningham, L. Paninski
- Computer Science
- 23 November 2015
TLDR
Linear dynamical neural population models through nonlinear embeddings
- Yuanjun Gao, Evan Archer, L. Paninski, J. Cunningham
- Computer ScienceNIPS
- 26 May 2016
A body of recent work in modeling neural activity focuses on recovering low-dimensional latent features that capture the statistical structure of large-scale neural populations. Most such approaches…
Bayesian entropy estimation for countable discrete distributions
- Evan Archer, Il-Su Park, J. Pillow
- Mathematics, Computer ScienceJ. Mach. Learn. Res.
- 1 February 2013
TLDR
Spectral methods for neural characterization using generalized quadratic models
- Il-Su Park, Evan Archer, N. Priebe, J. Pillow
- MathematicsNIPS
- 5 December 2013
TLDR
Bayesian and Quasi-Bayesian Estimators for Mutual Information from Discrete Data
- Evan Archer, Il-Su Park, J. Pillow
- Mathematics, Computer ScienceEntropy
- 10 May 2013
TLDR
Low-dimensional models of neural population activity in sensory cortical circuits
- Evan Archer, Urs Köster, J. Pillow, J. Macke
- BiologyNIPS
- 8 December 2014
TLDR
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders
- Artur Speiser, Jinyao Yan, Evan Archer, Lars Buesing, Srinivas C. Turaga, J. Macke
- Computer ScienceNIPS
- 6 November 2017
TLDR
Bayesian entropy estimation for binary spike train data using parametric prior knowledge
- Evan Archer, Il-Su Park, J. Pillow
- Computer ScienceNIPS
- 5 December 2013
TLDR
Universal models for binary spike patterns using centered Dirichlet processes
- Il-Su Park, Evan Archer, Kenneth W. Latimer, J. Pillow
- Computer Science, BiologyNIPS
- 5 December 2013
TLDR
Bayesian estimation of discrete entropy with mixtures of stick-breaking priors
- Evan Archer, Il-Su Park, J. Pillow
- MathematicsNIPS
- 3 December 2012
TLDR
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