| Randomized Physics-Informed Neural Networks for Bayesian Data Assimilation | Jul 5, 2024 | Stochastic OptimizationUncertainty Quantification | CodeCode Available | 1 | 5 |
| Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces | May 17, 2019 | Image ImputationImputation | CodeCode Available | 1 | 5 |
| alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction | Jan 21, 2022 | Uncertainty QuantificationVariational Inference | CodeCode Available | 1 | 5 |
| Rigid Body Flows for Sampling Molecular Crystal Structures | Jan 26, 2023 | Variational Inference | CodeCode Available | 1 | 5 |
| Constraining Variational Inference with Geometric Jensen-Shannon Divergence | Jun 18, 2020 | Variational Inference | CodeCode Available | 1 | 5 |
| A theory of continuous generative flow networks | Jan 30, 2023 | Variational Inference | CodeCode Available | 1 | 5 |
| Discovering Mixtures of Structural Causal Models from Time Series Data | Oct 10, 2023 | Causal DiscoveryTime Series | CodeCode Available | 1 | 5 |
| Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization | Dec 10, 2020 | Density EstimationVariational Inference | CodeCode Available | 1 | 5 |
| Continuous-Time Deep Glioma Growth Models | Jun 23, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| ContraBAR: Contrastive Bayes-Adaptive Deep RL | Jun 4, 2023 | Contrastive LearningMeta Reinforcement Learning | CodeCode Available | 1 | 5 |
| Differentially Private Variational Inference for Non-conjugate Models | Oct 27, 2016 | Bayesian InferenceVariational Inference | CodeCode Available | 1 | 5 |
| Scalable Deep Gaussian Markov Random Fields for General Graphs | Jun 10, 2022 | Bayesian InferenceVariational Inference | CodeCode Available | 1 | 5 |
| Scalable Random Feature Latent Variable Models | Oct 23, 2024 | Bayesian InferenceComputational Efficiency | CodeCode Available | 1 | 5 |
| Counterfactual Generative Modeling with Variational Causal Inference | Oct 16, 2024 | Causal Inferencecounterfactual | CodeCode Available | 1 | 5 |
| Second-Order Semantic Dependency Parsing with End-to-End Neural Networks | Jun 19, 2019 | Dependency ParsingSemantic Dependency Parsing | CodeCode Available | 1 | 5 |
| Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes | Feb 2, 2024 | Gaussian ProcessesVariational Inference | CodeCode Available | 1 | 5 |
| D3p -- A Python Package for Differentially-Private Probabilistic Programming | Mar 22, 2021 | Bayesian InferenceProbabilistic Programming | CodeCode Available | 1 | 5 |
| Semi-supervised Variational Autoencoder for Regression: Application on Soft Sensors | Nov 11, 2022 | regressionUncertainty Quantification | CodeCode Available | 1 | 5 |
| A Benchmark on Uncertainty Quantification for Deep Learning Prognostics | Feb 9, 2023 | Active LearningDecision Making | CodeCode Available | 1 | 5 |
| Deep Active Inference | Oct 11, 2018 | Variational Inference | CodeCode Available | 1 | 5 |
| Sparse Orthogonal Variational Inference for Gaussian Processes | Oct 23, 2019 | Gaussian ProcessesMulti-class Classification | CodeCode Available | 1 | 5 |
| Spatio-Temporal Variational Gaussian Processes | Nov 2, 2021 | Gaussian ProcessesVariational Inference | CodeCode Available | 1 | 5 |
| Discovering Non-monotonic Autoregressive Orderings with Variational Inference | Oct 27, 2021 | DecoderImage Captioning | CodeCode Available | 1 | 5 |
| Auto-Encoding Variational Bayes | Dec 20, 2013 | Anomaly DetectionImage Clustering | CodeCode Available | 1 | 5 |
| Autoencoding Variational Inference For Topic Models | Mar 4, 2017 | Topic ModelsVariational Inference | CodeCode Available | 1 | 5 |
| Deep Conditional Gaussian Mixture Model for Constrained Clustering | Jun 11, 2021 | ClusteringConstrained Clustering | CodeCode Available | 1 | 5 |
| Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series | Oct 8, 2024 | Computational EfficiencyIrregular Time Series | CodeCode Available | 1 | 5 |
| Streaming Variational Bayes | Jul 25, 2013 | Variational Inference | CodeCode Available | 1 | 5 |
| Amortized Inference for Causal Structure Learning | May 25, 2022 | Causal DiscoveryInductive Bias | CodeCode Available | 1 | 5 |
| Deep Gaussian Process Emulation using Stochastic Imputation | Jul 4, 2021 | Gaussian ProcessesImputation | CodeCode Available | 1 | 5 |
| Joint Prompt Optimization of Stacked LLMs using Variational Inference | Jun 21, 2023 | Natural Language UnderstandingVariational Inference | CodeCode Available | 1 | 5 |
| Automatic Differentiation Variational Inference | Mar 2, 2016 | Probabilistic ProgrammingVariational Inference | CodeCode Available | 1 | 5 |
| Topic Modeling in Embedding Spaces | Jul 8, 2019 | Topic ModelsVariational Inference | CodeCode Available | 1 | 5 |
| Topic Modeling Revisited: A Document Graph-based Neural Network Perspective | Dec 1, 2021 | Variational Inference | CodeCode Available | 1 | 5 |
| A Differentiable Point Process with Its Application to Spiking Neural Networks | Jun 2, 2021 | Variational Inference | CodeCode Available | 1 | 5 |
| Deep Stochastic Volatility Model | Feb 25, 2021 | modelVariational Inference | CodeCode Available | 1 | 5 |
| Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs | Dec 16, 2023 | Time SeriesVariational Inference | CodeCode Available | 1 | 5 |
| Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment | Oct 24, 2022 | Sequential RecommendationVariational Inference | CodeCode Available | 1 | 5 |
| Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm | Aug 11, 2024 | Bayesian InferenceVariational Inference | CodeCode Available | 1 | 5 |
| 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 | 5 |
| DiBS: Differentiable Bayesian Structure Learning | May 25, 2021 | Causal DiscoveryVariational Inference | CodeCode Available | 1 | 5 |
| Transport meets Variational Inference: Controlled Monte Carlo Diffusions | Jul 3, 2023 | Variational Inference | CodeCode Available | 1 | 5 |
| Density Deconvolution with Normalizing Flows | Jun 16, 2020 | Density EstimationVariational Inference | CodeCode Available | 1 | 5 |
| 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 | 5 |
| Unsupervised Data Imputation via Variational Inference of Deep Subspaces | Mar 8, 2019 | ImputationVariational Inference | CodeCode Available | 1 | 5 |
| Unsupervised Variational Translator for Bridging Image Restoration and High-Level Vision Tasks | Aug 15, 2024 | Image RestorationVariational Inference | CodeCode Available | 1 | 5 |
| Graph Stochastic Neural Networks for Semi-supervised Learning | Dec 1, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| Variational Bayes Gaussian Splatting | Oct 4, 2024 | Continual LearningVariational Inference | CodeCode Available | 1 | 5 |
| Differentiable Causal Discovery Under Latent Interventions | Mar 4, 2022 | Causal DiscoveryVariational Inference | CodeCode Available | 1 | 5 |
| Variational Graph Recurrent Neural Networks | Aug 26, 2019 | AttributeDynamic Link Prediction | CodeCode Available | 1 | 5 |
