| 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 |
| Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach | Feb 8, 2023 | Distributed OptimizationFederated Learning | CodeCode Available | 1 |
| Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization | Dec 10, 2020 | Density EstimationVariational Inference | CodeCode Available | 1 |
| Deep Conditional Gaussian Mixture Model for Constrained Clustering | Jun 11, 2021 | ClusteringConstrained Clustering | CodeCode Available | 1 |
| Generative locally linear embedding: A module for manifold unfolding and visualization | Jul 6, 2021 | Data VisualizationDimensionality Reduction | CodeCode Available | 1 |
| Generative Principal Component Regression via Variational Inference | Sep 3, 2024 | regressionVariational Inference | CodeCode Available | 1 |
| Bit Allocation using Optimization | Sep 20, 2022 | Variational InferenceVideo Compression | CodeCode Available | 1 |
| Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance | Feb 21, 2023 | Variational Inference | CodeCode Available | 1 |
| A Deep Variational Approach to Clustering Survival Data | Jun 10, 2021 | ClusteringDeep Clustering | CodeCode Available | 1 |
| Graph Stochastic Neural Networks for Semi-supervised Learning | Dec 1, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 |
| Improving Variational Inference with Inverse Autoregressive Flow | Jun 15, 2016 | Variational Inference | CodeCode Available | 1 |
| Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations | Feb 12, 2021 | Variational Inference | CodeCode Available | 1 |
| Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series | Oct 8, 2024 | Computational EfficiencyIrregular Time Series | CodeCode Available | 1 |
| Amortized Inference for Causal Structure Learning | May 25, 2022 | Causal DiscoveryInductive Bias | CodeCode Available | 1 |
| eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling | Mar 3, 2024 | Variational Inference | CodeCode Available | 1 |
| Latent Variable Modelling with Hyperbolic Normalizing Flows | Feb 15, 2020 | Density EstimationVariational Inference | CodeCode Available | 1 |
| A Differentiable Point Process with Its Application to Spiking Neural Networks | Jun 2, 2021 | Variational Inference | CodeCode Available | 1 |
| Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs | Dec 16, 2023 | Time SeriesVariational Inference | CodeCode Available | 1 |
| Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees | Nov 2, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 |
| Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling | Jun 11, 2024 | Decision MakingVariational Inference | CodeCode Available | 1 |
| Learning Neural Set Functions Under the Optimal Subset Oracle | Mar 3, 2022 | Anomaly DetectionDrug Discovery | CodeCode Available | 1 |
| Learning Sparse Prototypes for Text Generation | Jun 29, 2020 | Language ModelingLanguage Modelling | CodeCode Available | 1 |
| LINFA: a Python library for variational inference with normalizing flow and annealing | Jul 10, 2023 | Variational Inference | CodeCode Available | 1 |
| LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints | Sep 27, 2023 | Variational Inference | CodeCode Available | 1 |
| A theory of continuous generative flow networks | Jan 30, 2023 | Variational Inference | CodeCode Available | 1 |
| Manifold GPLVMs for discovering non-Euclidean latent structure in neural data | Jun 12, 2020 | Variational Inference | CodeCode Available | 1 |
| Bayesian sparsification for deep neural networks with Bayesian model reduction | Sep 21, 2023 | Deep LearningVariational Inference | CodeCode Available | 1 |
| Bayesian neural networks via MCMC: a Python-based tutorial | Apr 2, 2023 | Bayesian InferenceDeep Learning | CodeCode Available | 1 |
| Bayesian Structure Learning with Generative Flow Networks | Feb 28, 2022 | Variational Inference | CodeCode Available | 1 |
| Blind Equalization and Channel Estimation in Coherent Optical Communications Using Variational Autoencoders | Apr 25, 2022 | Variational Inference | CodeCode Available | 1 |
| Bayesian Confidence Calibration for Epistemic Uncertainty Modelling | Sep 21, 2021 | object-detectionObject Detection | CodeCode Available | 1 |
| Adversarial Autoencoders | Nov 18, 2015 | ClusteringData Visualization | CodeCode Available | 1 |
| Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent | Feb 2, 2024 | Variational Inference | CodeCode Available | 1 |
| BayesDAG: Gradient-Based Posterior Inference for Causal Discovery | Jul 26, 2023 | Causal DiscoveryVariational Inference | CodeCode Available | 1 |
| Bayesian Model-Agnostic Meta-Learning | Jun 11, 2018 | Active Learningimage-classification | CodeCode Available | 1 |
| An Energy-Based Prior for Generative Saliency | Apr 19, 2022 | object-detectionObject Detection | CodeCode Available | 1 |
| Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation | Aug 8, 2022 | Image SegmentationMedical Image Segmentation | CodeCode Available | 1 |
| An information field theory approach to Bayesian state and parameter estimation in dynamical systems | Jun 3, 2023 | parameter estimationState Estimation | CodeCode Available | 1 |
| BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning | Oct 5, 2020 | Variational Inference | CodeCode Available | 1 |
| BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery | Dec 6, 2021 | Causal DiscoveryStochastic Optimization | CodeCode Available | 1 |
| Beyond Opinion Mining: Summarizing Opinions of Customer Reviews | Jun 3, 2022 | Opinion MiningOpinion Summarization | CodeCode Available | 1 |
| Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech | Jan 1, 2021 | text-to-speechText to Speech | CodeCode Available | 1 |
| Understanding and Accelerating Particle-Based Variational Inference | Jul 4, 2018 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Categorical Normalizing Flows via Continuous Transformations | Jun 17, 2020 | DecoderInductive Bias | CodeCode Available | 1 |
| ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows | Aug 11, 2020 | Variational Inference | CodeCode Available | 1 |
| BayesDLL: Bayesian Deep Learning Library | Sep 22, 2023 | Bayesian InferenceDeep Learning | CodeCode Available | 1 |
| Constraining Variational Inference with Geometric Jensen-Shannon Divergence | Jun 18, 2020 | Variational Inference | CodeCode Available | 1 |
| Continual Learning via Sequential Function-Space Variational Inference | Dec 28, 2023 | Bayesian InferenceContinual Learning | CodeCode Available | 1 |
| Continuous-Time Deep Glioma Growth Models | Jun 23, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Bayesian Image Reconstruction using Deep Generative Models | Dec 8, 2020 | Image DenoisingImage Inpainting | CodeCode Available | 1 |
