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On 1/n neural representation and robustness

Dec 08, 2020
Josue Nassar, Piotr Aleksander Sokol, SueYeon Chung, Kenneth D. Harris, Il Memming Park


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Rescuing neural spike train models from bad MLE

Oct 23, 2020
Diego M. Arribas, Yuan Zhao, Il Memming Park

* To appear in Advances in Neural Information Processing 2020 

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Non-parametric generalized linear model

Sep 02, 2020
Matthew Dowling, Yuan Zhao, Il Memming Park


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Streaming Variational Monte Carlo

Jun 10, 2019
Yuan Zhao, Josue Nassar, Ian Jordan, Mónica Bugallo, Il Memming Park


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Gated recurrent units viewed through the lens of continuous time dynamical systems

Jun 03, 2019
Ian D. Jordan, Piotr Aleksander Sokol, Il Memming Park


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Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling

Dec 05, 2018
Josue Nassar, Scott W. Linderman, Monica Bugallo, Il Memming Park


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Information Geometry of Orthogonal Initializations and Training

Oct 09, 2018
Piotr A. Sokol, Il Memming Park

* 12 pages, 4 figures 

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Variational Joint Filtering

May 21, 2018
Yuan Zhao, Il Memming Park


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Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains

Dec 23, 2016
Yuan Zhao, Il Memming Park

* Neural Computation, May 2017, Vol. 29, No. 5 , Pages: 1293-1316 

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Black box variational inference for state space models

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


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Bayesian Extensions of Kernel Least Mean Squares

Oct 20, 2013
Il Memming Park, Sohan Seth, Steven Van Vaerenbergh

* 7 pages, 4 fiures 

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Active Bayesian Optimization: Minimizing Minimizer Entropy

Feb 09, 2012
Il Memming Park, Marcel Nassar, Mijung Park


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