| BlackJAX: Composable Bayesian inference in JAX | Feb 16, 2024 | Bayesian InferenceProbabilistic Programming | CodeCode Available | 5 | 5 |
| 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 | 5 |
| Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise | Aug 19, 2022 | Image RestorationVariational Inference | CodeCode Available | 3 | 5 |
| Gaussian Processes for Big Data | Sep 26, 2013 | Gaussian ProcessesVariational Inference | CodeCode Available | 2 | 5 |
| Modelling Non-Smooth Signals with Complex Spectral Structure | Mar 14, 2022 | Variational Inference | CodeCode Available | 2 | 5 |
| Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision | Oct 6, 2022 | Variational Inference | CodeCode Available | 2 | 5 |
| normflows: A PyTorch Package for Normalizing Flows | Jan 26, 2023 | Image GenerationVariational Inference | CodeCode Available | 2 | 5 |
| PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows | Jun 28, 2019 | Point Cloud GenerationVariational Inference | CodeCode Available | 2 | 5 |
| Batch and match: black-box variational inference with a score-based divergence | Feb 22, 2024 | Variational Inference | CodeCode Available | 2 | 5 |
| Scalable Gradients for Stochastic Differential Equations | Jan 5, 2020 | SensitivityVariational Inference | CodeCode Available | 2 | 5 |
| Denoising Diffusion Restoration Models | Jan 27, 2022 | ColorizationDeblurring | CodeCode Available | 2 | 5 |
| Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems | Jul 23, 2024 | ColorizationDeblurring | CodeCode Available | 2 | 5 |
| Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence | Apr 8, 2020 | Sentence EmbeddingsTopic Models | CodeCode Available | 2 | 5 |
| Neural Posterior Estimation for Cataloging Astronomical Images with Spatially Varying Backgrounds and Point Spread Functions | Feb 28, 2025 | Variational Inference | CodeCode Available | 2 | 5 |
| Cross-lingual Contextualized Topic Models with Zero-shot Learning | Apr 16, 2020 | Topic ModelsTransfer Learning | CodeCode Available | 2 | 5 |
| GPflow: A Gaussian process library using TensorFlow | Oct 27, 2016 | Gaussian ProcessesGPU | CodeCode Available | 2 | 5 |
| Neural Markov Random Field for Stereo Matching | Mar 17, 2024 | Domain GeneralizationInductive Bias | CodeCode Available | 2 | 5 |
| PITS: Variational Pitch Inference without Fundamental Frequency for End-to-End Pitch-controllable TTS | Feb 24, 2023 | Decodertext-to-speech | CodeCode Available | 2 | 5 |
| The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget | Apr 24, 2020 | reinforcement-learningReinforcement Learning | CodeCode Available | 2 | 5 |
| Variational Bayesian Last Layers | Apr 17, 2024 | Out-of-Distribution DetectionVariational Inference | CodeCode Available | 2 | 5 |
| Tutorial on amortized optimization | Feb 1, 2022 | Meta-Learningreinforcement-learning | CodeCode Available | 2 | 5 |
| Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems | Jan 8, 2025 | Bayesian InferenceVariational Inference | CodeCode Available | 2 | 5 |
| Can Transformers Learn Full Bayesian Inference in Context? | Jan 28, 2025 | Bayesian InferenceIn-Context Learning | 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 |
| Categorical Normalizing Flows via Continuous Transformations | Jun 17, 2020 | DecoderInductive Bias | CodeCode Available | 1 | 5 |
| Beyond Opinion Mining: Summarizing Opinions of Customer Reviews | Jun 3, 2022 | Opinion MiningOpinion Summarization | CodeCode Available | 1 | 5 |
| Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling | Jun 11, 2024 | Decision MakingVariational 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 |
| Amortized Inference for Causal Structure Learning | May 25, 2022 | Causal DiscoveryInductive Bias | CodeCode Available | 1 | 5 |
| Blind Equalization and Channel Estimation in Coherent Optical Communications Using Variational Autoencoders | Apr 25, 2022 | Variational Inference | CodeCode Available | 1 | 5 |
| Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech | Jan 1, 2021 | text-to-speechText to Speech | CodeCode Available | 1 | 5 |
| Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees | Nov 2, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 | 5 |
| Bayesian Structure Learning with Generative Flow Networks | Feb 28, 2022 | Variational Inference | CodeCode Available | 1 | 5 |
| BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery | Dec 6, 2021 | Causal DiscoveryStochastic Optimization | CodeCode Available | 1 | 5 |
| Bit Allocation using Optimization | Sep 20, 2022 | Variational InferenceVideo Compression | CodeCode Available | 1 | 5 |
| Cauchy-Schwarz Divergence Information Bottleneck for Regression | Apr 27, 2024 | Adversarial RobustnessInformation Plane | CodeCode Available | 1 | 5 |
| Bayesian Model-Agnostic Meta-Learning | Jun 11, 2018 | Active Learningimage-classification | CodeCode Available | 1 | 5 |
| Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent | Feb 2, 2024 | Variational Inference | CodeCode Available | 1 | 5 |
| Bayesian neural networks via MCMC: a Python-based tutorial | Apr 2, 2023 | Bayesian InferenceDeep Learning | CodeCode Available | 1 | 5 |
| BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders | Mar 6, 2020 | ClusteringDecoder | CodeCode Available | 1 | 5 |
| BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning | Oct 5, 2020 | Variational Inference | CodeCode Available | 1 | 5 |
| Adversarial Autoencoders | Nov 18, 2015 | ClusteringData Visualization | CodeCode Available | 1 | 5 |
| BayesDLL: Bayesian Deep Learning Library | Sep 22, 2023 | Bayesian InferenceDeep Learning | CodeCode Available | 1 | 5 |
| Bayesian Confidence Calibration for Epistemic Uncertainty Modelling | Sep 21, 2021 | object-detectionObject Detection | CodeCode Available | 1 | 5 |
| Bayesian Image Reconstruction using Deep Generative Models | Dec 8, 2020 | Image DenoisingImage Inpainting | CodeCode Available | 1 | 5 |
| Variational multiple shooting for Bayesian ODEs with Gaussian processes | Jun 21, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 | 5 |
| A Batch Normalized Inference Network Keeps the KL Vanishing Away | Apr 27, 2020 | Dialogue GenerationLanguage Modeling | 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 |
| Accurate Node Feature Estimation with Structured Variational Graph Autoencoder | Jun 9, 2022 | Variational Inference | CodeCode Available | 1 | 5 |
| Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation | Aug 1, 2024 | Graph Representation LearningRepresentation Learning | CodeCode Available | 1 | 5 |
