| Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models | Sep 20, 2023 | DenoisingEfficient Neural Network | —Unverified | 0 |
| Posterior sampling algorithms for unsupervised speech enhancement with recurrent variational autoencoder | Sep 19, 2023 | Computational EfficiencySpeech Enhancement | —Unverified | 0 |
| Towards the TopMost: A Topic Modeling System Toolkit | Sep 13, 2023 | Topic ModelsVariational Inference | —Unverified | 0 |
| Pearl's and Jeffrey's Update as Modes of Learning in Probabilistic Programming | Sep 13, 2023 | Probabilistic ProgrammingVariational Inference | —Unverified | 0 |
| Amortised Inference in Bayesian Neural Networks | Sep 6, 2023 | Meta-LearningVariational Inference | CodeCode Available | 0 |
| Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference | Sep 6, 2023 | Point ProcessesTime Series | —Unverified | 0 |
| Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks | Sep 6, 2023 | Bayesian InferenceDeep Learning | —Unverified | 0 |
| Exact Inference for Continuous-Time Gaussian Process Dynamics | Sep 5, 2023 | Variational Inference | —Unverified | 0 |
| Distributed Variational Inference for Online Supervised Learning | Sep 5, 2023 | Binary ClassificationVariational Inference | CodeCode Available | 0 |
| Interactive Graph Convolutional Filtering | Sep 4, 2023 | Collaborative FilteringMeta-Learning | —Unverified | 0 |
