| Semi-Amortized Variational Autoencoders | Feb 7, 2018 | Text GenerationVariational Inference | CodeCode Available | 0 |
| Semi-crowdsourced Clustering with Deep Generative Models | Oct 29, 2018 | ClusteringVariational Inference | CodeCode Available | 0 |
| Exchangeable modelling of relational data: checking sparsity, train-test splitting, and sparse exchangeable Poisson matrix factorization | Dec 6, 2017 | Variational Inference | CodeCode Available | 0 |
| Differentially Private Federated Variational Inference | Nov 24, 2019 | Bayesian InferenceFederated Learning | CodeCode Available | 0 |
| Towards Spatial Transcriptomics-guided Pathological Image Recognition with Batch-Agnostic Encoder | Mar 10, 2025 | Contrastive LearningVariational Inference | CodeCode Available | 0 |
| Semi-Implicit Graph Variational Auto-Encoders | Aug 19, 2019 | DecoderVariational Inference | CodeCode Available | 0 |
| Cognition-Mode Aware Variational Representation Learning Framework for Knowledge Tracing | Sep 3, 2023 | Knowledge TracingRepresentation Learning | CodeCode Available | 0 |
| Variational Inference with Vine Copulas: An efficient Approach for Bayesian Computer Model Calibration | Mar 28, 2020 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 |
| Nonparametric Deconvolution Models | Mar 17, 2020 | Variational Inference | CodeCode Available | 0 |
| Semi-Implicit Variational Inference | May 28, 2018 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
