| Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function | Feb 24, 2022 | DiversityVariational Inference | —Unverified | 0 |
| Learning Supervised Topic Models for Classification and Regression from Crowds | Aug 17, 2018 | ClassificationGeneral Classification | —Unverified | 0 |
| Fully probabilistic deep models for forward and inverse problems in parametric PDEs | Aug 9, 2022 | Variational Inference | —Unverified | 0 |
| Learning the joint distribution of two sequences using little or no paired data | Dec 6, 2022 | Variational Inference | —Unverified | 0 |
| Deep Probabilistic Models to Detect Data Poisoning Attacks | Dec 3, 2019 | Data PoisoningVariational Inference | —Unverified | 0 |
| Learning to Dequantise with Truncated Flows | Sep 29, 2021 | Variational Inference | —Unverified | 0 |
| Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes | Dec 27, 2024 | Gaussian ProcessesGPU | —Unverified | 0 |
| Learning to Learn Dense Gaussian Processes for Few-Shot Learning | Dec 1, 2021 | Few-Shot LearningGaussian Processes | —Unverified | 0 |
| Deep Probabilistic Video Compression | Sep 27, 2018 | DiversityImage Compression | —Unverified | 0 |
| Learning Conditional Variational Autoencoders with Missing Covariates | Mar 2, 2022 | Missing ValuesVariational Inference | —Unverified | 0 |
