| Black box variational inference for state space models | Nov 23, 2015 | State Space ModelsTime Series | CodeCode Available | 0 | 5 |
| ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks | Jul 30, 2018 | Data AugmentationVariational Inference | CodeCode Available | 0 | 5 |
| Generative Adversarial Networks with Decoder-Encoder Output Noise | Jul 11, 2018 | DecoderImage Generation | CodeCode Available | 0 | 5 |
| Activity Detection for Massive Connectivity in Cell-free Networks with Unknown Large-scale Fading, Channel Statistics, Noise Variance, and Activity Probability: A Bayesian Approach | Jan 30, 2024 | Activity DetectionVariational Inference | CodeCode Available | 0 | 5 |
| Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning | May 12, 2022 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 | 5 |
| GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model | Oct 1, 2018 | Recommendation SystemsTopic Models | CodeCode Available | 0 | 5 |
| A Joint Learning Model with Variational Interaction for Multilingual Program Translation | Aug 25, 2024 | DisentanglementTranslation | CodeCode Available | 0 | 5 |
| Exchangeable modelling of relational data: checking sparsity, train-test splitting, and sparse exchangeable Poisson matrix factorization | Dec 6, 2017 | Variational Inference | CodeCode Available | 0 | 5 |
| Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference | Oct 31, 2020 | Graph EmbeddingLink Prediction | CodeCode Available | 0 | 5 |
| Projective Integral Updates for High-Dimensional Variational Inference | Jan 20, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
