conftrace_

state space model

390 papers

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Also known as

SSM SSMS

Co-occurring keywords

semantic segmentation (3186) sequence modeling (288) state-space model (153) attention mechanism (4001) variational inference (2069) image restoration (1517) image classification (1944) mamba architecture (35) 3d vision (1098) gaussian process (1200)

Papers

Localized active learning of Gaussian process state space models L4DC 2020
Structured Variational Inference in Partially Observable Unstable Gaussian Process State Space Models L4DC 2020
Normalizing Kalman Filters for Multivariate Time Series Analysis NIPS 2020
Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space JMLR 2020
Dynamical Systems as Temporal Feature Spaces JMLR 2020
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting IJCAI 2019
A Spatiotemporal Approach to Predicting Glaucoma Progression Using a CT-HMM MLHC 2019
End-to-End Probabilistic Inference for Nonstationary Audio Analysis ICML 2019
Switching Linear Dynamics for Variational Bayes Filtering ICML 2019
Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models NIPS 2019
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers AISTATS 2019
Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach AISTATS 2019
Variational Sequential Monte Carlo AISTATS 2018
State Space Gaussian Processes with Non-Gaussian Likelihood ICML 2018
Deep State Space Models for Unconditional Word Generation NIPS 2018
Deep State Space Models for Time Series Forecasting NIPS 2018
Sparse Learning in Gaussian Chain Graphs for State Space Models PGM 2018
Multivariate Bayesian Structural Time Series Model JMLR 2018
Infinite-Horizon Gaussian Processes NIPS 2018
Discriminative State Space Models NIPS 2017
Identification of Gaussian Process State Space Models NIPS 2017
Learning to Filter with Predictive State Inference Machines ICML 2016
Learning Complex Uncertain States Changes via Asymmetric Hidden Markov Models: an Industrial Case PGM 2016
The Nonparametric Kernel Bayes Smoother AISTATS 2016
Sequential Neural Models with Stochastic Layers NIPS 2016