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State Space Models

Papers archive 2025-07-28

archive papers tagged: 923 · with a code link: 394 · where Syntology ran a sample: 153 (135 with a run with no instrument failure, 18 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (153 of 923 tagged: 135 with a run with no instrument failure, 18 where every run was a failure of Syntology's instrument)

Page 9 of 10: papers 801 to 900 of 923, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.

Papers without a page here are shown as plain text. A Syntology line reads “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.

• PNLSS Toolbox 1.0
  18 May 2021 0 repositories listed
• Stochastic Recurrent Neural Network for Multistep Time Series Forecasting
  26 Apr 2021 0 repositories listed
• Viking: Variational Bayesian Variance Tracking
  16 Apr 2021 0 repositories listed
• Improved Initialization of State-Space Artificial Neural Networks
  26 Mar 2021 0 repositories listed
• PAC-Bayesian theory for stochastic LTI systems
  23 Mar 2021 0 repositories listed
• Smoothing-Averse Control: Covertness and Privacy from Smoothers
  23 Mar 2021 0 repositories listed
• Online Joint State Inference and Learning of Partially Unknown State-Space Models
  15 Feb 2021 0 repositories listed
• Method for estimating hidden structures determined by unidentifiable state-space models and time-series data based on the Groebner basis
  22 Dec 2020 0 repositories listed
• At the Intersection of Deep Sequential Model Framework and State-space Model Framework: Study on Option Pricing
  14 Dec 2020 0 repositories listed
• Variational State and Parameter Estimation
  14 Dec 2020 0 repositories listed
• Quantification of mismatch error in randomly switching linear state-space models
  8 Dec 2020 0 repositories listed
• Variational System Identification for Nonlinear State-Space Models
  8 Dec 2020 0 repositories listed
• Variational Autoencoders for Learning Nonlinear Dynamics of Physical Systems
  7 Dec 2020 0 repositories listed
• Normalizing Kalman Filters for Multivariate Time Series Analysis
  1 Dec 2020 0 repositories listed
• Physics-Informed Neural State Space Models via Learning and Evolution
  26 Nov 2020 0 repositories listed
• Experimental assessment of polynomial nonlinear state-space and nonlinear-mode models for near-resonant vibrations
  17 Nov 2020 0 repositories listed
• Generating Series for Networks of Chen-Fliess Series
  31 Oct 2020 0 repositories listed
• A Systematic Comparison of Forecasting for Gross Domestic Product in an Emergent Economy
  26 Oct 2020 0 repositories listed
• State space models for building control: how deep should you go?
  23 Oct 2020 0 repositories listed
• Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction
  29 Jul 2020 0 repositories listed
• Hierarchical Control of Multi-Agent Systems using Online Reinforcement Learning
  28 Jul 2020 0 repositories listed
• Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF
  17 Jun 2020 0 repositories listed
• Stanza: A Nonlinear State Space Model for Probabilistic Inference in Non-Stationary Time Series
  11 Jun 2020 0 repositories listed
• Neural Physicist: Learning Physical Dynamics from Image Sequences
  9 Jun 2020 0 repositories listed
• Structured Variational Inference in Partially Observable Unstable Gaussian Process State Space Models
  8 Jun 2020 0 repositories listed
• Pairs Trading with Nonlinear and Non-Gaussian State Space Models
  19 May 2020 0 repositories listed
• Localized active learning of Gaussian process state space models
  4 May 2020 0 repositories listed
• Active inference on discrete state-spaces: a synthesis
  28 Mar 2020 0 repositories listed
• Learning Driver Behaviors Using A Gaussian Process Augmented State-Space Model
  16 Mar 2020 0 repositories listed
• Data-driven switching logic design for switched linear systems
  11 Mar 2020 0 repositories listed
• Linear-time inference for Gaussian Processes on one dimension
  11 Mar 2020 0 repositories listed
• PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference
  1 Mar 2020 0 repositories listed
• Kalman Recursions Aggregated Online
  26 Feb 2020 0 repositories listed
• Deep Variational Luenberger-type Observer for Stochastic Video Prediction
  12 Feb 2020 0 repositories listed
• Gaussian Variational State Estimation for Nonlinear State-Space Models
  7 Feb 2020 0 repositories listed
• Data-based computation of stabilizing minimum dwell times for discrete-time switched linear systems
  6 Feb 2020 0 repositories listed
• Doubly Sparse Variational Gaussian Processes
  15 Jan 2020 0 repositories listed
• A general recurrent state space framework for modeling neural dynamics during decision-making
  1 Jan 2020 0 repositories listed
• Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models
  1 Dec 2019 0 repositories listed
• A Sparse Bayesian Deep Learning Approach for Identification of Cascaded Tanks Benchmark
  15 Nov 2019 0 repositories listed
• Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations
  2 Nov 2019 0 repositories listed
• A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems
  31 Oct 2019 0 repositories listed
• The Gaussian Process Prior VAE for Interpretable Latent Dynamics from Pixels
  16 Oct 2019 0 repositories listed
• Variational Tracking and Prediction with Generative Disentangled State-Space Models
  14 Oct 2019 0 repositories listed
• Improving inference for nonlinear state-space models of animal population dynamics given biased sequential life stage data
  19 Sep 2019 0 repositories listed
• Stochastic quasi-Newton with line-search regularization
  3 Sep 2019 0 repositories listed
• DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction
  11 Aug 2019 0 repositories listed
• Introducing shrinkage in heavy-tailed state space models to predict equity excess returns
  26 Jul 2019 0 repositories listed
• Dynamical Systems as Temporal Feature Spaces
  15 Jul 2019 0 repositories listed
• The Use of Gaussian Processes in System Identification
  13 Jul 2019 0 repositories listed
• Coupling techniques for nonlinear ensemble filtering
  30 Jun 2019 0 repositories listed
• Disentangled State Space Representations
  7 Jun 2019 0 repositories listed
• Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series
  30 May 2019 0 repositories listed
• Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models
  26 May 2019 0 repositories listed
• Estimation of black bear abundance by management zone in Wisconsin
  22 May 2019 0 repositories listed
• A Gaussian process latent force model for joint input-state estimation in linear structural systems
  29 Mar 2019 0 repositories listed
• DISENTANGLED STATE SPACE MODELS: UNSUPERVISED LEARNING OF DYNAMICS ACROSS HETEROGENEOUS ENVIRONMENTS
  27 Mar 2019 0 repositories listed
• A tutorial on group effective connectivity analysis, part 2: second level analysis with PEB
  27 Feb 2019 0 repositories listed
• Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era
  26 Feb 2019 0 repositories listed
• Learning Nonlinear State Space Models with Hamiltonian Sequential Monte Carlo Sampler
  3 Jan 2019 0 repositories listed
• Closed-form Inference and Prediction in Gaussian Process State-Space Models
  10 Dec 2018 0 repositories listed
• Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation
  1 Dec 2018 0 repositories listed
• Explainable Genetic Inheritance Pattern Prediction
  1 Dec 2018 0 repositories listed
• Black-Box Autoregressive Density Estimation for State-Space Models
  20 Nov 2018 0 repositories listed
• Age-at-harvest models as monitoring and harvest management tools for Wisconsin carnivores
  15 Nov 2018 0 repositories listed
• Forecasting Individualized Disease Trajectories using Interpretable Deep Learning
  24 Oct 2018 0 repositories listed
• Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach
  23 Oct 2018 0 repositories listed
• Entropy Analysis of Financial Time Series
  25 Jul 2018 0 repositories listed
• Optimal Continuous State POMDP Planning with Semantic Observations: A Variational Approach
  22 Jul 2018 0 repositories listed
• Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series
  1 Jul 2018 0 repositories listed
• Asymptotic Properties of Recursive Maximum Likelihood Estimation in Non-Linear State-Space Models
  25 Jun 2018 0 repositories listed
• Deep State Space Models for Unconditional Word Generation
  12 Jun 2018 0 repositories listed
• Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms
  6 Jun 2018 0 repositories listed
• Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers
  23 May 2018 0 repositories listed
• Fast Robust Methods for Singular State-Space Models
  7 Mar 2018 0 repositories listed
• Autoregressive Point-Processes as Latent State-Space Models: a Moment-Closure Approach to Fluctuations and Autocorrelations
  28 Feb 2018 0 repositories listed
• Predicting crypto-currencies using sparse non-Gaussian state space models
  13 Feb 2018 0 repositories listed
• Learning and Querying Fast Generative Models for Reinforcement Learning
  8 Feb 2018 0 repositories listed
• Gaussian variational approximation for high-dimensional state space models
  24 Jan 2018 0 repositories listed
• Learning Dynamic State Abstractions for Model-Based Reinforcement Learning
  1 Jan 2018 0 repositories listed
• Discriminative State Space Models
  1 Dec 2017 0 repositories listed
• State Space LSTM Models with Particle MCMC Inference
  30 Nov 2017 0 repositories listed
• Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale
  22 Sep 2017 0 repositories listed
• Extraction of Airways with Probabilistic State-space Models and Bayesian Smoothing
  7 Aug 2017 0 repositories listed
• Sequential Lifted Bayesian Filtering in Multiset Rewriting Systems
  20 Jul 2017 0 repositories listed
• Identification of Gaussian Process State Space Models
  30 May 2017 0 repositories listed
• Stochastic Sequential Neural Networks with Structured Inference
  24 May 2017 0 repositories listed
• Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach
  23 May 2017 0 repositories listed
• Inference via low-dimensional couplings
  17 Mar 2017 0 repositories listed
• Probabilistic learning of nonlinear dynamical systems using sequential Monte Carlo
  7 Mar 2017 0 repositories listed
• Learning of state-space models with highly informative observations: a tempered Sequential Monte Carlo solution
  6 Feb 2017 0 repositories listed
• High-dimensional Filtering using Nested Sequential Monte Carlo
  29 Dec 2016 0 repositories listed
• A State Space Approach for Piecewise-Linear Recurrent Neural Networks for Reconstructing Nonlinear Dynamics from Neural Measurements
  23 Dec 2016 0 repositories listed
• Infinite Hidden Semi-Markov Modulated Interaction Point Process
  1 Dec 2016 0 repositories listed
• Gaussian Process Kernels for Popular State-Space Time Series Models
  25 Oct 2016 0 repositories listed
• Inertial Regularization and Selection (IRS): Sequential Regression in High-Dimension and Sparsity
  23 Oct 2016 0 repositories listed
• Efficient Estimation of Compressible State-Space Models with Application to Calcium Signal Deconvolution
  20 Oct 2016 0 repositories listed
• Incremental Nonlinear System Identification and Adaptive Particle Filtering Using Gaussian Process
  30 Aug 2016 0 repositories listed
• Among-site variability in the stochastic dynamics of East African coral reefs
  27 Jun 2016 0 repositories listed
• Standard State Space Models of Unawareness (Extended Abstract)
  24 Jun 2016 0 repositories listed