| Automatic variational inference with cascading flows | Feb 9, 2021 | Variational Inference | —Unverified | 0 |
| Bayesian Transformer Language Models for Speech Recognition | Feb 9, 2021 | speech-recognitionSpeech Recognition | —Unverified | 0 |
| Variational Inference for Deblending Crowded Starfields | Feb 4, 2021 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Structure-preserving Gaussian Process Dynamics | Feb 2, 2021 | Variational Inference | —Unverified | 0 |
| Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study | Feb 2, 2021 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting | Jan 31, 2021 | Point ProcessesTemporal Sequences | —Unverified | 0 |
| Deep Deterministic Information Bottleneck with Matrix-based Entropy Functional | Jan 31, 2021 | Variational Inference | CodeCode Available | 1 |
| Spike and slab Bayesian sparse principal component analysis | Jan 30, 2021 | Dimensionality ReductionVariational Inference | —Unverified | 0 |
| Low Complexity Approximate Bayesian Logistic Regression for Sparse Online Learning | Jan 28, 2021 | regressionVariational Inference | —Unverified | 0 |
| Variational Information Bottleneck Model for Accurate Indoor Position Recognition | Jan 26, 2021 | DecoderPosition | —Unverified | 0 |
| Unitary Approximate Message Passing for Sparse Bayesian Learning | Jan 25, 2021 | Variational Inference | —Unverified | 0 |
| NEMR: Network Embedding on Metric of Relation | Jan 20, 2021 | Link PredictionNetwork Embedding | —Unverified | 0 |
| Classification of fNIRS Data Under Uncertainty: A Bayesian Neural Network Approach | Jan 18, 2021 | Binary ClassificationBrain Computer Interface | —Unverified | 0 |
| Bayesian Inference Forgetting | Jan 16, 2021 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Efficient Semi-Implicit Variational Inference | Jan 15, 2021 | Variational Inference | —Unverified | 0 |
| Preconditioned training of normalizing flows for variational inference in inverse problems | Jan 11, 2021 | compressed sensingVariational Inference | CodeCode Available | 1 |
| HypoSVI: Hypocenter inversion with Stein variational inference and Physics Informed Neural Networks | Jan 9, 2021 | validVariational Inference | CodeCode Available | 1 |
| Block-Term Tensor Decomposition Model Selection and Computation: The Bayesian Way | Jan 8, 2021 | Model SelectionTensor Decomposition | —Unverified | 0 |
| The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks | Jan 7, 2021 | Adversarial RobustnessVariational Inference | —Unverified | 0 |
| Markov Chain Monte Carlo Policy Optimization | Jan 4, 2021 | continuous-controlContinuous Control | —Unverified | 0 |
| Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey | Jan 4, 2021 | DecoderDimensionality Reduction | —Unverified | 0 |
| A Tutorial on the Mathematical Model of Single Cell Variational Inference | Jan 3, 2021 | Variational Inference | —Unverified | 0 |
| Meta-Learning Bayesian Neural Network Priors Based on PAC-Bayesian Theory | Jan 1, 2021 | Meta-LearningUncertainty Quantification | —Unverified | 0 |
| Federated Learning with Decoupled Probabilistic-Weighted Gradient Aggregation | Jan 1, 2021 | Federated LearningVariational Inference | —Unverified | 0 |
| Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational Inference | Jan 1, 2021 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 1 |
