state space model

Spatio-Temporal Variational Gaussian Processes NeurIPS 2021 Targeted Neural Dynamical Modeling NeurIPS 2021 The neural moving average model for scalable variational inference of state space models UAI 2021 Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF ICLR 2021 VDSM: Unsupervised Video Disentanglement With State-Space Modeling and Deep Mixtures of Experts CVPR 2021 A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning Interspeech 2020 Deep Rao-Blackwellised Particle Filters for Time Series Forecasting NeurIPS 2020 Doubly Sparse Variational Gaussian Processes AISTATS 2020 Dynamical Systems as Temporal Feature Spaces JMLR 2020 Dynamic content based ranking AISTATS 2020 Estimating Fluctuations in Neural Representations of Uncertain Environments NeurIPS 2020 Generalised Bayesian Filtering via Sequential Monte Carlo NeurIPS 2020 Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space JMLR 2020 Localized active learning of Gaussian process state space models L4DC 2020 Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns AAAI 2020 Normalizing Kalman Filters for Multivariate Time Series Analysis NeurIPS 2020 Relational State-Space Model for Stochastic Multi-Object Systems ICLR 2020 Structured Object-Aware Physics Prediction for Video Modeling and Planning ICLR 2020 Structured Variational Inference in Partially Observable Unstable Gaussian Process State Space Models L4DC 2020 A recurrent Markov state-space generative model for sequences AISTATS 2019 A Spatiotemporal Approach to Predicting Glaucoma Progression Using a CT-HMM MLHC 2019 A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI NeurIPS 2019 Attentive State-Space Modeling of Disease Progression NeurIPS 2019 Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models ICML 2019 Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach AISTATS 2019