Enabling hyperparameter optimization in sequential autoencoders for spiking neural data

21 August 2019

Papers citing "Enabling hyperparameter optimization in sequential autoencoders for spiking neural data"

9 / 9 papers shown

Title
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 358 10,591 0 17 Feb 2020
Learning interpretable continuous-time models of latent stochastic dynamical systems Lea Duncker G. Bohner Julien Boussard M. Sahani 39 77 0 12 Feb 2019
Population Based Training of Neural Networks Max Jaderberg Valentin Dalibard Simon Osindero Wojciech M. Czarnecki Jeff Donahue ... Tim Green Iain Dunning Karen Simonyan Chrisantha Fernando Koray Kavukcuoglu 71 741 0 27 Nov 2017
Structured Inference Networks for Nonlinear State Space Models Rahul G. Krishnan Uri Shalit David Sontag BDL 86 456 0 30 Sep 2016
LFADS - Latent Factor Analysis via Dynamical Systems David Sussillo Rafal Jozefowicz L. F. Abbott C. Pandarinath AI4CE 48 90 0 22 Aug 2016
Linear dynamical neural population models through nonlinear embeddings Yuanjun Gao Evan Archer Liam Paninski John P. Cunningham 57 155 0 26 May 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 49 374 0 20 May 2016
Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains Yuan Zhao Il-Su Park 44 117 0 11 Apr 2016
DRAW: A Recurrent Neural Network For Image Generation Karol Gregor Ivo Danihelka Alex Graves Danilo Jimenez Rezende Daan Wierstra GAN DRL 161 1,960 0 16 Feb 2015