| Partially factorized variational inference for high-dimensional mixed models | Dec 20, 2023 | Uncertainty QuantificationVariational Inference | CodeCode Available | 1 |
| Online Variational Sequential Monte Carlo | Dec 19, 2023 | parameter estimationState Space Models | CodeCode Available | 0 |
| Robust Node Representation Learning via Graph Variational Diffusion Networks | Dec 18, 2023 | Representation LearningVariational Inference | —Unverified | 0 |
| Bayesian Model Selection via Mean-Field Variational Approximation | Dec 17, 2023 | modelModel Selection | —Unverified | 0 |
| Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs | Dec 16, 2023 | Time SeriesVariational Inference | CodeCode Available | 1 |
| Joint State Estimation and Noise Identification Based on Variational Optimization | Dec 15, 2023 | State EstimationVariational Inference | —Unverified | 0 |
| The Gaussian-Linear Hidden Markov model: a Python package | Dec 12, 2023 | Variational Inference | CodeCode Available | 0 |
| WISE: full-Waveform variational Inference via Subsurface Extensions | Dec 11, 2023 | Variational Inference | —Unverified | 0 |
| Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference | Dec 10, 2023 | State Space ModelsVariational Inference | CodeCode Available | 1 |
| Sparse Variational Student-t Processes | Dec 9, 2023 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space | Dec 5, 2023 | Variational Inference | CodeCode Available | 0 |
| Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities | Dec 2, 2023 | Density EstimationFederated Learning | —Unverified | 0 |
| Adaptive Robust Learning using Latent Bernoulli Variables | Dec 1, 2023 | Variational Inference | CodeCode Available | 0 |
| Variational Bayes image restoration with compressive autoencoders | Nov 29, 2023 | Image RestorationVariational Inference | CodeCode Available | 1 |
| Identifiable Feature Learning for Spatial Data with Nonlinear ICA | Nov 28, 2023 | DisentanglementRepresentation Learning | —Unverified | 0 |
| Probabilistic Transformer: A Probabilistic Dependency Model for Contextual Word Representation | Nov 26, 2023 | SentenceVariational Inference | CodeCode Available | 1 |
| Deep Latent Force Models: ODE-based Process Convolutions for Bayesian Deep Learning | Nov 24, 2023 | Time SeriesUncertainty Quantification | —Unverified | 0 |
| Favour: FAst Variance Operator for Uncertainty Rating | Nov 21, 2023 | Variational Inference | —Unverified | 0 |
| Variational Elliptical Processes | Nov 21, 2023 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning | Nov 21, 2023 | Conformal PredictionDeep Learning | —Unverified | 0 |
| HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech Synthesis | Nov 21, 2023 | Speech SynthesisSuper-Resolution | CodeCode Available | 3 |
| Neural Graph Collaborative Filtering Using Variational Inference | Nov 20, 2023 | Collaborative FilteringRecommendation Systems | —Unverified | 0 |
| Bayesian Neural Networks: A Min-Max Game Framework | Nov 18, 2023 | Variational Inference | —Unverified | 0 |
| Informative Priors Improve the Reliability of Multimodal Clinical Data Classification | Nov 17, 2023 | Time SeriesVariational Inference | —Unverified | 0 |
| A Knowledge Distillation Approach for Sepsis Outcome Prediction from Multivariate Clinical Time Series | Nov 16, 2023 | Knowledge DistillationTime Series | —Unverified | 0 |
