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State Space Models

Papers

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Showing 701–750 of 923 papers

TitleStatusHype
A Compendium of Control-Oriented Models of Gas Processing Equipment Components—0
Maximum likelihood recursive state estimation in state-space models: A new approach based on statistical analysis of incomplete data—0
Ensemble transport smoothing. Part I: Unified frameworkCode0
Ensemble transport smoothing. Part II: Nonlinear updatesCode0
Efficient variational approximations for state space models—0
Modelling Emotion Dynamics in Song Lyrics with State Space Models—0
Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference—0
Marginalized particle Gibbs for multiple state-space models coupled through shared parameters—0
Outlier-Insensitive Kalman Filtering Using NUV PriorsCode0
S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces—0
Direct identification of continuous-time linear switched state-space models—0
Counter-Adversarial Learning with Inverse Unscented Kalman Filter—0
Neural State-Space Modeling with Latent Causal-Effect DisentanglementCode0
Time Series Clustering with an EM algorithm for Mixtures of Linear Gaussian State Space ModelsCode0
A physics-based domain adaptation framework for modelling and forecasting building energy systems—0
Dynamic Bayesian Learning for Spatiotemporal Mechanistic ModelsCode0
fMRI-S4: learning short- and long-range dynamic fMRI dependencies using 1D Convolutions and State Space ModelsCode0
Unsupervised learning of observation functions in state-space models by nonparametric moment methods—0
Hidden Parameter Recurrent State Space Models For Changing Dynamics ScenariosCode0
Long Range Language Modeling via Gated State SpacesCode0
How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections—0
On the Parameterization and Initialization of Diagonal State Space Models—0
SIXO: Smoothing Inference with Twisted ObjectivesCode0
Improving the Diagnosis of Psychiatric Disorders with Self-Supervised Graph State Space Models—0
Amortized backward variational inference in nonlinear state-space models—0
Counterfactual Analysis in Dynamic Latent State Models—0
Deep Direct Discriminative Decoders for High-dimensional Time-series Data AnalysisCode0
Learning Individual Interactions from Population Dynamics with Discrete-Event Simulation Model—0
Continuous-time identification of dynamic state-space models by deep subspace encodingCode0
Learning Reduced Nonlinear State-Space Models: an Output-Error Based Canonical Approach—0
On the Herdability of Linear Time-Invariant Systems with Special Topological Structures—0
A Tutorial on Solution Properties of State Space Models of Dynamical Systems—0
Causal Discovery of Macroeconomic State-Space ModelsCode0
Impedance-based Root-cause Analysis: Comparative Study of Impedance Models and Calculation of Eigenvalue Sensitivity—0
Inverse Online Learning: Understanding Non-Stationary and Reactionary PoliciesCode0
Interpretable Latent Variables in Deep State Space Models—0
Neural Ordinary Differential Equations for Nonlinear System Identification—0
Data-driven approximation and reduction from noisy data in matrix pencil frameworks—0
Simple Models and Biased Forecasts—0
Efficient learning of hidden state LTI state space models of unknown order—0
Inertial Navigation Using an Inertial Sensor ArrayCode0
The Annotated S4—0
Inverse Extended Kalman Filter -- Part I: Fundamentals—0
Linear Variational State-Space FilteringCode0
Variational-Based Nonlinear Bayesian Filtering with Biased Observations—0
Efficient Estimation of State-Space Mixed-Frequency VARs: A Precision-Based Approach—0
SSDNet: State Space Decomposition Neural Network for Time Series ForecastingCode0
On Recursive State Estimation for Linear State-Space Models Having Quantized Output Data—0
Traversing Time with Multi-Resolution Gaussian Process State-Space Models—0
Latent Matters: Learning Deep State-Space Models—0
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