| Understanding MCMC Dynamics as Flows on the Wasserstein Space | Feb 1, 2019 | Novel ConceptsVariational Inference | CodeCode Available | 0 |
| Indian Buffet process for model selection in convolved multiple-output Gaussian processes | Mar 22, 2015 | Gaussian ProcessesModel Selection | CodeCode Available | 0 |
| Prior Density Learning in Variational Bayesian Phylogenetic Parameters Inference | Feb 6, 2023 | Variational Inference | CodeCode Available | 0 |
| PRISM: Privacy-preserving Inter-Site MRI Harmonization via Disentangled Representation Learning | Nov 10, 2024 | Contrastive LearningPrivacy Preserving | CodeCode Available | 0 |
| Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo | Jun 14, 2018 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Variational Message Passing with Structured Inference Networks | Mar 15, 2018 | Variational Inference | CodeCode Available | 0 |
| DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora | Nov 3, 2018 | Variational Inference | CodeCode Available | 0 |
| A deep generative model for gene expression profiles from single-cell RNA sequencing | Sep 7, 2017 | Stochastic OptimizationVariational Inference | CodeCode Available | 0 |
| Bidirectional Convolutional Poisson Gamma Dynamical Systems | Dec 1, 2020 | Bayesian InferenceSentence | CodeCode Available | 0 |
| Information Dropout: Learning Optimal Representations Through Noisy Computation | Nov 4, 2016 | Representation LearningVariational Inference | CodeCode Available | 0 |
