| PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference | Mar 1, 2020 | Bayesian Inferencecontinuous-control | —Unverified | 0 |
| Kalman Recursions Aggregated Online | Feb 26, 2020 | State Space Models | —Unverified | 0 |
| Deep Variational Luenberger-type Observer for Stochastic Video Prediction | Feb 12, 2020 | Representation LearningState Space Models | —Unverified | 0 |
| Gaussian Variational State Estimation for Nonlinear State-Space Models | Feb 7, 2020 | State EstimationState Space Models | —Unverified | 0 |
| Data-based computation of stabilizing minimum dwell times for discrete-time switched linear systems | Feb 6, 2020 | State Space Models | —Unverified | 0 |
| Doubly Sparse Variational Gaussian Processes | Jan 15, 2020 | Gaussian ProcessesState Space Models | —Unverified | 0 |
| Unifying and generalizing models of neural dynamics during decision-making | Jan 13, 2020 | Decision MakingOpen-Ended Question Answering | CodeCode Available | 1 |
| Taylor Moment Expansion for Continuous-Discrete Gaussian Filtering and Smoothing | Jan 8, 2020 | State Space Models | CodeCode Available | 1 |
| A general recurrent state space framework for modeling neural dynamics during decision-making | Jan 1, 2020 | Decision MakingOpen-Ended Question Answering | —Unverified | 0 |
| Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models | Dec 1, 2019 | Bayesian InferenceDenoising | —Unverified | 0 |
| Attentive State-Space Modeling of Disease Progression | Dec 1, 2019 | Predicting Patient OutcomesState Space Models | CodeCode Available | 0 |
| A Sparse Bayesian Deep Learning Approach for Identification of Cascaded Tanks Benchmark | Nov 15, 2019 | State Space Models | —Unverified | 0 |
| Factored Latent-Dynamic Conditional Random Fields for Single and Multi-label Sequence Modeling | Nov 9, 2019 | GPUModel Selection | CodeCode Available | 0 |
| Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations | Nov 2, 2019 | Decision MakingSequential Decision Making | —Unverified | 0 |
| A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems | Oct 31, 2019 | State Space Models | —Unverified | 0 |
| Parameter elimination in particle Gibbs sampling | Oct 30, 2019 | Bayesian InferenceEpidemiology | CodeCode Available | 0 |
| The Gaussian Process Prior VAE for Interpretable Latent Dynamics from Pixels | Oct 16, 2019 | State Space Models | —Unverified | 0 |
| Variationally Inferred Sampling Through a Refined Bound | Oct 16, 2019 | Bayesian InferenceDensity Estimation | CodeCode Available | 0 |
| Variational Tracking and Prediction with Generative Disentangled State-Space Models | Oct 14, 2019 | Bayesian InferencePosition | —Unverified | 0 |
| Probabilistic sequential matrix factorization | Oct 9, 2019 | ImputationMultivariate Time Series Forecasting | CodeCode Available | 0 |
| The Neural Moving Average Model for Scalable Variational Inference of State Space Models | Oct 2, 2019 | Bayesian InferenceNormalising Flows | CodeCode Available | 0 |
| Improving inference for nonlinear state-space models of animal population dynamics given biased sequential life stage data | Sep 19, 2019 | State Space Models | —Unverified | 0 |
| Stochastic quasi-Newton with line-search regularization | Sep 3, 2019 | State Space Models | —Unverified | 0 |
| Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs | Aug 26, 2019 | Bayesian InferenceDensity Estimation | CodeCode Available | 0 |
| DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction | Aug 11, 2019 | Motion EstimationSensor Fusion | —Unverified | 0 |
