conftrace_

state-space model

153 papers

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Also known as

SSM

Co-occurring keywords

variational inference (2069) state space model (390) gaussian process (1200) bayesian inference (1907) attention mechanism (4001) time series (435) sequential monte carlo (90) sequence modeling (288) particle filter (86) dynamical system (398)

Papers

Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models ICML 2019
Parameter elimination in particle Gibbs sampling NIPS 2019
Replica Conditional Sequential Monte Carlo ICML 2019
Inference via Low-Dimensional Couplings JMLR 2018
Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms ICML 2018
Nonparametric Bayesian sparse graph linear dynamical systems AISTATS 2018
Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series ICML 2018
Generative Temporal Models with Spatial Memory for Partially Observed Environments ICML 2018
Probabilistic Recurrent State-Space Models ICML 2018
A state-space model of cross-region dynamic connectivity in MEG/EEG NIPS 2016
A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment NIPS 2014
Particle Gibbs with Ancestor Sampling JMLR 2014
Variational Gaussian Process State-Space Models NIPS 2014
Bayesian Switching Interaction Analysis Under Uncertainty AISTATS 2014
Approximate inference in latent Gaussian-Markov models from continuous time observations NIPS 2013
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC NIPS 2013
Fast interior-point inference in high-dimensional sparse, penalized state-space models AISTATS 2012
Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression AISTATS 2012
Ancestor Sampling for Particle Gibbs NIPS 2012
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron NIPS 2011
A General Linear Non-Gaussian State-Space Model: Identifiability, Identification, and Applications ACML 2011
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes JMLR 2010
State-Space Inference and Learning with Gaussian Processes AISTATS 2010
Mixture of time-warped trajectory models for movement decoding NIPS 2010
Using Bayesian Dynamical Systems for Motion Template Libraries NIPS 2008