| A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms | Nov 8, 2018 | Bayesian Inferenceparameter estimation | CodeCode Available | 0 |
| Forecasting Individualized Disease Trajectories using Interpretable Deep Learning | Oct 24, 2018 | Deep LearningDisease Prediction | —Unverified | 0 |
| Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach | Oct 23, 2018 | Bayesian InferenceClustering | —Unverified | 0 |
| Stochastic Gradient MCMC for State Space Models | Oct 22, 2018 | Bayesian InferenceState Space Models | CodeCode Available | 0 |
| Entropy Analysis of Financial Time Series | Jul 25, 2018 | State Space ModelsTime Series | —Unverified | 0 |
| Optimal Continuous State POMDP Planning with Semantic Observations: A Variational Approach | Jul 22, 2018 | ClusteringDecision Making | —Unverified | 0 |
| Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series | Jul 1, 2018 | State Space ModelsTime Series | —Unverified | 0 |
| Asymptotic Properties of Recursive Maximum Likelihood Estimation in Non-Linear State-Space Models | Jun 25, 2018 | State Space Models | —Unverified | 0 |
| Deep State Space Models for Unconditional Word Generation | Jun 12, 2018 | State Space ModelsText Generation | —Unverified | 0 |
| Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms | Jun 6, 2018 | Probabilistic ProgrammingState Space Models | —Unverified | 0 |
| Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers | May 23, 2018 | Bayesian InferenceState Space Models | —Unverified | 0 |
| Fast Robust Methods for Singular State-Space Models | Mar 7, 2018 | State Space ModelsTime Series | —Unverified | 0 |
| Autoregressive Point-Processes as Latent State-Space Models: a Moment-Closure Approach to Fluctuations and Autocorrelations | Feb 28, 2018 | Point ProcessesState Space Models | —Unverified | 0 |
| Identification of LTV Dynamical Models with Smooth or Discontinuous Time Evolution by means of Convex Optimization | Feb 27, 2018 | FrictionReinforcement Learning | CodeCode Available | 0 |
| Predicting crypto-currencies using sparse non-Gaussian state space models | Feb 13, 2018 | State Space ModelsTime Series | —Unverified | 0 |
| Learning and Querying Fast Generative Models for Reinforcement Learning | Feb 8, 2018 | Atari GamesDecision Making | —Unverified | 0 |
| Probabilistic Recurrent State-Space Models | Jan 31, 2018 | Gaussian ProcessesState Space Models | CodeCode Available | 1 |
| Gaussian variational approximation for high-dimensional state space models | Jan 24, 2018 | State Space ModelsVocal Bursts Intensity Prediction | —Unverified | 0 |
| Learning Dynamic State Abstractions for Model-Based Reinforcement Learning | Jan 1, 2018 | Atari GamesDecision Making | —Unverified | 0 |
| Discriminative State Space Models | Dec 1, 2017 | State Space ModelsTime Series | —Unverified | 0 |
| State Space LSTM Models with Particle MCMC Inference | Nov 30, 2017 | State Space ModelsTopic Models | —Unverified | 0 |
| Deep Reinforcement Learning for Sepsis Treatment | Nov 27, 2017 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 0 |
| Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale | Sep 22, 2017 | Bayesian InferenceDemand Forecasting | —Unverified | 0 |
| Extraction of Airways with Probabilistic State-space Models and Bayesian Smoothing | Aug 7, 2017 | Medical Image AnalysisState Space Models | —Unverified | 0 |
| Variational online learning of neural dynamics | Jul 27, 2017 | Decision MakingExperimental Design | CodeCode Available | 0 |
