| Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning | May 12, 2022 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 |
| Particle-based Energetic Variational Inference | Apr 14, 2020 | Variational Inference | CodeCode Available | 0 |
| Generating Neural Networks with Neural Networks | Jan 6, 2018 | DiversityVariational Inference | CodeCode Available | 0 |
| Generative Adversarial Networks with Decoder-Encoder Output Noise | Jul 11, 2018 | DecoderImage Generation | CodeCode Available | 0 |
| Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings | Jun 5, 2019 | Bayesian InferenceGeneral Classification | CodeCode Available | 0 |
| Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data | May 20, 2016 | State Space ModelsVariational Inference | CodeCode Available | 0 |
| Deep Recurrent Generative Decoder for Abstractive Text Summarization | Aug 2, 2017 | Abstractive Text SummarizationDecoder | CodeCode Available | 0 |
| VIFS: An End-to-End Variational Inference for Foley Sound Synthesis | Jun 8, 2023 | Speech Synthesistext-to-speech | CodeCode Available | 0 |
| Augment and Reduce: Stochastic Inference for Large Categorical Distributions | Feb 12, 2018 | General ClassificationRecommendation Systems | CodeCode Available | 0 |
| Particle Semi-Implicit Variational Inference | Jun 30, 2024 | Variational Inference | CodeCode Available | 0 |
