| On the relationship between Normalising Flows and Variational- and Denoising Autoencoders | Mar 27, 2019 | DenoisingNormalising Flows | —Unverified | 0 |
| LInKs "Lifting Independent Keypoints" -- Partial Pose Lifting for Occlusion Handling with Improved Accuracy in 2D-3D Human Pose Estimation | Sep 13, 2023 | 3D Human Pose EstimationAttribute | —Unverified | 0 |
| Parallelised Diffeomorphic Sampling-based Motion Planning | Aug 26, 2021 | MORPHMotion Planning | —Unverified | 0 |
| Expressive, Variable, and Controllable Duration Modelling in TTS | Jun 28, 2022 | Normalising FlowsSpeech Synthesis | —Unverified | 0 |
| Quinoa: a Q-function You Infer Normalized Over Actions | Nov 5, 2019 | Normalising Flowsreinforcement-learning | —Unverified | 0 |
| Localised Generative Flows | Sep 25, 2019 | Density EstimationNormalising Flows | —Unverified | 0 |
| AdvNF: Reducing Mode Collapse in Conditional Normalising Flows using Adversarial Learning | Jan 29, 2024 | Normalising Flows | —Unverified | 0 |
| Gaussian Process Latent Variable Flows for Massively Missing Data | Nov 23, 2020 | Dimensionality ReductionGaussian Processes | —Unverified | 0 |
| Woodbury Transformations for Deep Generative Flows | Feb 27, 2020 | Normalising Flows | CodeCode Available | 0 |
| Block Neural Autoregressive Flow | Apr 9, 2019 | Density EstimationNormalising Flows | CodeCode Available | 0 |
| Bootstrap Your Flow | Nov 22, 2021 | Normalising Flows | CodeCode Available | 0 |
| Communicating Likelihoods with Normalising Flows | Feb 13, 2025 | Normalising Flows | CodeCode Available | 0 |
| Decorrelation using Optimal Transport | Jul 11, 2023 | Binary ClassificationEthics | CodeCode Available | 0 |
| Flexible Tails for Normalising Flows, with Application to the Modelling of Financial Return Data | Nov 1, 2023 | Normalising Flows | CodeCode Available | 0 |
| Implicit Weight Uncertainty in Neural Networks | Nov 3, 2017 | Deep LearningNormalising Flows | CodeCode Available | 0 |
| Learning the Prediction Distribution for Semi-Supervised Learning with Normalising Flows | Jul 6, 2020 | AttributeGeneral Classification | CodeCode Available | 0 |
| Linear combinations of latents in generative models: subspaces and beyond | Aug 16, 2024 | Experimental DesignNormalising Flows | CodeCode Available | 0 |
| Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows | Sep 30, 2019 | Density EstimationNormalising Flows | CodeCode Available | 0 |
| Marginal Causal Flows for Validation and Inference | Nov 2, 2024 | Normalising Flows | CodeCode Available | 0 |
| emuflow: Normalising Flows for Joint Cosmological Analysis | Sep 2, 2024 | Normalising Flows | CodeCode Available | 0 |
| Probabilistic Classification by Density Estimation Using Gaussian Mixture Model and Masked Autoregressive Flow | Oct 16, 2023 | ClassificationDensity Estimation | CodeCode Available | 0 |
| The Neural Moving Average Model for Scalable Variational Inference of State Space Models | Oct 2, 2019 | Bayesian InferenceNormalising Flows | CodeCode Available | 0 |
| Sinusoidal Flow: A Fast Invertible Autoregressive Flow | Oct 26, 2021 | Normalising Flows | CodeCode Available | 0 |
| Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data | Nov 25, 2021 | BIG-bench Machine LearningNormalising Flows | CodeCode Available | 0 |
