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We perform approximate inference in state-space models with nonlinear state transitions.
A new approach to linear filtering and prediction problems
Rudolph Emil Kalman · 1960
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Maximum likelihood estimates of linear dynamic systems
Herbert E Rauch, F Tung, and Charlotte T Striebel · 1965
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Asymptotic behavior of the extended kalman filter as a parameter estimator for linear systems
Lennart Ljung · 1979
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Pseudo maximum likelihood methods: Theory
Christian Gourieroux, Alain Monfort, and Alain Trognon · 1984
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The two-filter formula for smoothing and an implementation of the gaussian-sum smoother
Genshiro Kitagawa · 1994
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The expectation-maximization algorithm
Todd K Moon · 1996
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Pattern recognition
Christopher M Bishop · 2006
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Sparse mri: The application of compressed sensing for rapid mr imaging
Michael Lustig, David Donoho, and John M Pauly · 2007
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Probabilistic graphical models: principles and techniques
Daphne Koller and Nir Friedman · 2009
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Posterior regularization for structured latent variable models
Kuzman Ganchev, Joao Graça, Jennifer Gillenwater, and Ben Taskar · 2010
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Mcmc using hamiltonian dynamics
Radford M Neal et al · 2011
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Speech recognition with deep recurrent neural networks
Alex Graves, Abdel-rahman Mohamed, and Geoffrey Hinton · 2013
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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A convolutional neural network for modelling sentences
Nal Kalchbrenner, Edward Grefenstette, and Phil Blunsom · 2014
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Black box variational inference for state space models
Evan Archer, Il Memming Park, Lars Buesing, John Cunningham, and Liam Paninski · 2015
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Rahul G Krishnan, Uri Shalit, and David Sontag · 2015
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From pixels to torques: Policy learning with deep dynamical models
Niklas Wahlström, Thomas B Schön, and Marc Peter Deisenroth · 2015
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Embed to control: A locally linear latent dynamics model for control from raw images
Noise2noise: Learning image restoration without clean data
Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, and Timo Aila · 2018
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Variational sequential monte carlo
Christian Naesseth, Scott Linderman, Rajesh Ranganath, and David Blei · 2018
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Deep state space models for time series forecasting
Syama Sundar Rangapuram, Matthias W Seeger, Jan Gasthaus, Lorenzo Stella, Yuyang Wang, and Tim Januschowski · 2018
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Speech commands: A dataset for limited-vocabulary speech recognition
Pete Warden · 2018
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Disentangled sequential autoencoder
Li Yingzhen and Stephan Mandt · 2018
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