| Simplifying and Understanding State Space Models with Diagonal Linear RNNs | Dec 1, 2022 | 8kState Space Models | CodeCode Available | 1 |
| Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models | Nov 21, 2022 | ClassificationGraph Neural Network | CodeCode Available | 1 |
| Advancing the State-of-the-Art for ECG Analysis through Structured State Space Models | Nov 14, 2022 | ECG ClassificationState Space Models | CodeCode Available | 1 |
| On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning | Oct 17, 2022 | Model-based Reinforcement Learningreinforcement-learning | CodeCode Available | 1 |
| Learning neural state-space models: do we need a state estimator? | Jun 26, 2022 | State EstimationState Space Models | CodeCode Available | 1 |
| GD-VAEs: Geometric Dynamic Variational Autoencoders for Learning Nonlinear Dynamics and Dimension Reductions | Jun 10, 2022 | State Space Models | CodeCode Available | 1 |
| Conditional Simulation Using Diffusion Schrödinger Bridges | Feb 27, 2022 | DeblurringDenoising | CodeCode Available | 1 |
| It's Raw! Audio Generation with State-Space Models | Feb 20, 2022 | Audio GenerationDensity Estimation | CodeCode Available | 1 |
| Reactive Message Passing for Scalable Bayesian Inference | Dec 25, 2021 | Bayesian InferenceState Space Models | CodeCode Available | 1 |
| Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models | Dec 2, 2021 | State Space Models | CodeCode Available | 1 |
| Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees | Nov 2, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 |
| Online Variational Filtering and Parameter Learning | Oct 26, 2021 | State EstimationState Space Models | CodeCode Available | 1 |
| Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty | Oct 16, 2021 | State Space ModelsVariational Inference | CodeCode Available | 1 |
| RTSNet: Learning to Smooth in Partially Known State-Space Models (Preprint) | Oct 10, 2021 | State Space Models | CodeCode Available | 1 |
| Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models | Oct 10, 2021 | State Space Models | CodeCode Available | 1 |
| Representation learning for neural population activity with Neural Data Transformers | Aug 2, 2021 | Representation LearningState Space Models | CodeCode Available | 1 |
| Model-Based Reinforcement Learning via Latent-Space Collocation | Jun 24, 2021 | modelModel-based Reinforcement Learning | CodeCode Available | 1 |
| Differentiable Particle Filtering via Entropy-Regularized Optimal Transport | Feb 15, 2021 | State Space ModelsVariational Inference | CodeCode Available | 1 |
| Dynamical Variational Autoencoders: A Comprehensive Review | Aug 28, 2020 | 3D Human DynamicsResynthesis | CodeCode Available | 1 |
| Continuous-time system identification with neural networks: Model structures and fitting criteria | Jun 3, 2020 | State Space Models | CodeCode Available | 1 |
| The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models | May 1, 2020 | Brain Computer Interfaceregression | CodeCode Available | 1 |
| Deep State Space Models for Nonlinear System Identification | Mar 31, 2020 | Deep LearningState Space Models | CodeCode Available | 1 |
| 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 |
| Probabilistic Recurrent State-Space Models | Jan 31, 2018 | Gaussian ProcessesState Space Models | CodeCode Available | 1 |
