| Generative locally linear embedding: A module for manifold unfolding and visualization | Jul 6, 2021 | Data VisualizationDimensionality Reduction | CodeCode Available | 1 |
| Deep Gaussian Process Emulation using Stochastic Imputation | Jul 4, 2021 | Gaussian ProcessesImputation | CodeCode Available | 1 |
| Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network | Jun 30, 2021 | Topic ModelsVariational Inference | CodeCode Available | 1 |
| Continuous-Time Deep Glioma Growth Models | Jun 23, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Variational multiple shooting for Bayesian ODEs with Gaussian processes | Jun 21, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 |
| Variational Causal Networks: Approximate Bayesian Inference over Causal Structures | Jun 14, 2021 | Bayesian InferenceCausal Inference | CodeCode Available | 1 |
| Deep Conditional Gaussian Mixture Model for Constrained Clustering | Jun 11, 2021 | ClusteringConstrained Clustering | CodeCode Available | 1 |
| Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation | Jun 11, 2021 | Graph GenerationVariational Inference | CodeCode Available | 1 |
| A Deep Variational Approach to Clustering Survival Data | Jun 10, 2021 | ClusteringDeep Clustering | CodeCode Available | 1 |
| Deep Switching State Space Model (DS^3M) for Nonlinear Time Series Forecasting with Regime Switching | Jun 4, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| A Differentiable Point Process with Its Application to Spiking Neural Networks | Jun 2, 2021 | Variational Inference | CodeCode Available | 1 |
| Non-negative matrix factorization algorithms greatly improve topic model fits | May 27, 2021 | parameter estimationTopic Models | CodeCode Available | 1 |
| DiBS: Differentiable Bayesian Structure Learning | May 25, 2021 | Causal DiscoveryVariational Inference | CodeCode Available | 1 |
| What Are Bayesian Neural Network Posteriors Really Like? | Apr 29, 2021 | Data AugmentationVariational Inference | CodeCode Available | 1 |
| Learning by example: fast reliability-aware seismic imaging with normalizing flows | Apr 13, 2021 | Bayesian InferenceSeismic Imaging | CodeCode Available | 1 |
| Generative Locally Linear Embedding | Apr 4, 2021 | Dimensionality ReductionVariational Inference | CodeCode Available | 1 |
| Storchastic: A Framework for General Stochastic Automatic Differentiation | Apr 1, 2021 | Variational Inference | CodeCode Available | 1 |
| D3p -- A Python Package for Differentially-Private Probabilistic Programming | Mar 22, 2021 | Bayesian InferenceProbabilistic Programming | CodeCode Available | 1 |
| A practical tutorial on Variational Bayes | Mar 1, 2021 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Deep Stochastic Volatility Model | Feb 25, 2021 | modelVariational Inference | CodeCode Available | 1 |
| Differentiable Particle Filtering via Entropy-Regularized Optimal Transport | Feb 15, 2021 | State Space ModelsVariational Inference | CodeCode Available | 1 |
| Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations | Feb 12, 2021 | Variational Inference | CodeCode Available | 1 |
| Variational Inference for Deblending Crowded Starfields | Feb 4, 2021 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Deep Deterministic Information Bottleneck with Matrix-based Entropy Functional | Jan 31, 2021 | Variational Inference | CodeCode Available | 1 |
| 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 |
| Discovering Autoregressive Orderings with Variational Inference | Jan 1, 2021 | Code GenerationImage Captioning | CodeCode Available | 1 |
| Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational Inference | Jan 1, 2021 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 1 |
| Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning | Jan 1, 2021 | Meta-LearningUnsupervised Few-Shot Image Classification | CodeCode Available | 1 |
| Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech | Jan 1, 2021 | text-to-speechText to Speech | CodeCode Available | 1 |
| Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization | Dec 10, 2020 | Density EstimationVariational Inference | CodeCode Available | 1 |
| Bayesian Image Reconstruction using Deep Generative Models | Dec 8, 2020 | Image DenoisingImage Inpainting | CodeCode Available | 1 |
| Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification | Dec 4, 2020 | Bayesian InferenceDecision Making Under Uncertainty | CodeCode Available | 1 |
| Graph Stochastic Neural Networks for Semi-supervised Learning | Dec 1, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 |
| Stochastic Deep Gaussian Processes over Graphs | Dec 1, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 1 |
| SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations | Nov 21, 2020 | 4kSemi-Supervised Image Classification | CodeCode Available | 1 |
| User-Dependent Neural Sequence Models for Continuous-Time Event Data | Nov 6, 2020 | Variational Inference | CodeCode Available | 1 |
| Probabilistic Circuits for Variational Inference in Discrete Graphical Models | Oct 22, 2020 | Variational Inference | CodeCode Available | 1 |
| A Discrete Variational Recurrent Topic Model without the Reparametrization Trick | Oct 22, 2020 | document understandingVariational Inference | CodeCode Available | 1 |
| Iterative Amortized Policy Optimization | Oct 20, 2020 | continuous-controlContinuous Control | CodeCode Available | 1 |
| VarGrad: A Low-Variance Gradient Estimator for Variational Inference | Oct 20, 2020 | Variational Inference | CodeCode Available | 1 |
| Probabilistic selection of inducing points in sparse Gaussian processes | Oct 19, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 1 |
| Towards Compact Neural Networks via End-to-End Training: A Bayesian Tensor Approach with Automatic Rank Determination | Oct 17, 2020 | Model CompressionTensor Decomposition | CodeCode Available | 1 |
| BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning | Oct 5, 2020 | Variational Inference | CodeCode Available | 1 |
| AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network | Sep 17, 2020 | ChunkingVariational Inference | CodeCode Available | 1 |
| Deep Switching Auto-Regressive Factorization:Application to Time Series Forecasting | Sep 10, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Dynamical Variational Autoencoders: A Comprehensive Review | Aug 28, 2020 | 3D Human DynamicsResynthesis | CodeCode Available | 1 |
| Deep Variational Network Toward Blind Image Restoration | Aug 25, 2020 | DenoisingImage Deblocking | CodeCode Available | 1 |
| Unifying supervised learning and VAEs -- coverage, systematics and goodness-of-fit in normalizing-flow based neural network models for astro-particle reconstructions | Aug 13, 2020 | Numerical IntegrationVariational Inference | CodeCode Available | 1 |
| ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows | Aug 11, 2020 | Variational Inference | CodeCode Available | 1 |
