Variational online learning of neural dynamics

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Variational online learning of neural dynamics

27 July 2017

Il Memming Park

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Papers citing "Variational online learning of neural dynamics"

12 / 12 papers shown

Title
Structured Inference Networks for Nonlinear State Space Models Rahul G. Krishnan Uri Shalit David Sontag BDL 96 459 0 30 Sep 2016
LFADS - Latent Factor Analysis via Dynamical Systems David Sussillo Rafal Jozefowicz L. F. Abbott C. Pandarinath AI4CE 71 91 0 22 Aug 2016
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data Maximilian Karl Maximilian Sölch Justin Bayer Patrick van der Smagt BDL 55 375 0 20 May 2016
Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains Yuan Zhao Il-Su Park 73 117 0 11 Apr 2016
Composing graphical models with neural networks for structured representations and fast inference Matthew J. Johnson David Duvenaud Alexander B. Wiltschko S. R. Datta Ryan P. Adams BDL OCL 92 485 0 20 Mar 2016
Black box variational inference for state space models Evan Archer Il Memming Park Lars Buesing John P. Cunningham Liam Paninski BDL 83 161 0 23 Nov 2015
Recurrent Gaussian Processes C. L. C. Mattos Zhenwen Dai Andreas C. Damianou Jeremy Forth G. Barreto Neil D. Lawrence BDL 59 75 0 20 Nov 2015
Deep Kalman Filters Rahul G. Krishnan Uri Shalit David Sontag BDL AI4TS 75 374 0 16 Nov 2015
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images Manuel Watter Jost Tobias Springenberg Joschka Boedecker Martin Riedmiller BDL 88 847 0 24 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Variational Gaussian Process State-Space Models R. Frigola Yutian Chen C. Rasmussen BDL 68 179 0 18 Jun 2014
Streaming Variational Bayes Tamara Broderick N. Boyd Andre Wibisono Ashia Wilson Michael I. Jordan 85 346 0 25 Jul 2013