| Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs | Mar 9, 2015 | Variational Inference | CodeCode Available | 0 |
| Predictive Collective Variable Discovery with Deep Bayesian Models | Sep 18, 2018 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure | Nov 22, 2019 | Bayesian InferenceNeural Architecture Search | CodeCode Available | 0 |
| Unconstrained Monotonic Neural Networks | Aug 14, 2019 | Density EstimationVariational Inference | CodeCode Available | 0 |
| Joint control variate for faster black-box variational inference | Oct 13, 2022 | Stochastic OptimizationVariational Inference | CodeCode Available | 0 |
| VI-OOD: A Unified Representation Learning Framework for Textual Out-of-distribution Detection | Apr 9, 2024 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 |
| Bijectors.jl: Flexible transformations for probability distributions | Oct 16, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| BIISQ: Bayesian nonparametric discovery of Isoforms and Individual Specific Quantification | Mar 24, 2017 | DiversityVariational Inference | CodeCode Available | 0 |
| Preventing Model Collapse in Gaussian Process Latent Variable Models | Apr 2, 2024 | Dimensionality ReductionImputation | CodeCode Available | 0 |
| Asymmetric Variational Autoencoders | Nov 20, 2017 | Density EstimationVariational Inference | CodeCode Available | 0 |
