| BlackJAX: Composable Bayesian inference in JAX | Feb 16, 2024 | Bayesian InferenceProbabilistic Programming | CodeCode Available | 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 |
| Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise | Aug 19, 2022 | Image RestorationVariational Inference | CodeCode Available | 3 |
| Neural Posterior Estimation for Cataloging Astronomical Images with Spatially Varying Backgrounds and Point Spread Functions | Feb 28, 2025 | Variational Inference | CodeCode Available | 2 |
| Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems | Jan 8, 2025 | Bayesian InferenceVariational Inference | CodeCode Available | 2 |
| Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems | Jul 23, 2024 | ColorizationDeblurring | CodeCode Available | 2 |
| Variational Bayesian Last Layers | Apr 17, 2024 | Out-of-Distribution DetectionVariational Inference | CodeCode Available | 2 |
| Neural Markov Random Field for Stereo Matching | Mar 17, 2024 | Domain GeneralizationInductive Bias | CodeCode Available | 2 |
| Batch and match: black-box variational inference with a score-based divergence | Feb 22, 2024 | Variational Inference | CodeCode Available | 2 |
| PITS: Variational Pitch Inference without Fundamental Frequency for End-to-End Pitch-controllable TTS | Feb 24, 2023 | Decodertext-to-speech | CodeCode Available | 2 |
| normflows: A PyTorch Package for Normalizing Flows | Jan 26, 2023 | Image GenerationVariational Inference | CodeCode Available | 2 |
| Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision | Oct 6, 2022 | Variational Inference | CodeCode Available | 2 |
| Modelling Non-Smooth Signals with Complex Spectral Structure | Mar 14, 2022 | Variational Inference | CodeCode Available | 2 |
| Tutorial on amortized optimization | Feb 1, 2022 | Meta-Learningreinforcement-learning | CodeCode Available | 2 |
| Denoising Diffusion Restoration Models | Jan 27, 2022 | ColorizationDeblurring | CodeCode Available | 2 |
| The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget | Apr 24, 2020 | reinforcement-learningReinforcement Learning | CodeCode Available | 2 |
| Cross-lingual Contextualized Topic Models with Zero-shot Learning | Apr 16, 2020 | Topic ModelsTransfer Learning | CodeCode Available | 2 |
| Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence | Apr 8, 2020 | Sentence EmbeddingsTopic Models | CodeCode Available | 2 |
| Scalable Gradients for Stochastic Differential Equations | Jan 5, 2020 | SensitivityVariational Inference | CodeCode Available | 2 |
| PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows | Jun 28, 2019 | Point Cloud GenerationVariational Inference | CodeCode Available | 2 |
| GPflow: A Gaussian process library using TensorFlow | Oct 27, 2016 | Gaussian ProcessesGPU | CodeCode Available | 2 |
| Gaussian Processes for Big Data | Sep 26, 2013 | Gaussian ProcessesVariational Inference | CodeCode Available | 2 |
| Variational Control for Guidance in Diffusion Models | Feb 6, 2025 | SpecificityVariational Inference | CodeCode Available | 1 |
| Can Transformers Learn Full Bayesian Inference in Context? | Jan 28, 2025 | Bayesian InferenceIn-Context Learning | CodeCode Available | 1 |
| Enhance Vision-Language Alignment with Noise | Dec 14, 2024 | Variational Inference | CodeCode Available | 1 |
