| Bayesian posterior approximation with stochastic ensembles | Dec 15, 2022 | Bayesian Inferenceimage-classification | CodeCode Available | 0 | 5 |
| Accelerating Convergence in Bayesian Few-Shot Classification | May 2, 2024 | ClassificationFew-Shot Learning | CodeCode Available | 0 | 5 |
| Approximate Inference for Fully Bayesian Gaussian Process Regression | Dec 31, 2019 | GPRregression | CodeCode Available | 0 | 5 |
| Compiling Stan to Generative Probabilistic Languages and Extension to Deep Probabilistic Programming | Sep 30, 2018 | Probabilistic ProgrammingRepresentation Learning | CodeCode Available | 0 | 5 |
| Addressing Catastrophic Forgetting in Few-Shot Problems | Apr 30, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| Approximate Inference for Constructing Astronomical Catalogs from Images | Feb 28, 2018 | CPUVariational Inference | CodeCode Available | 0 | 5 |
| Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam | Jun 13, 2018 | Reinforcement LearningStochastic Optimization | CodeCode Available | 0 | 5 |
| Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning | Oct 6, 2022 | Meta-LearningVariational Inference | CodeCode Available | 0 | 5 |
| Generating Neural Networks with Neural Networks | Jan 6, 2018 | DiversityVariational Inference | CodeCode Available | 0 | 5 |
| Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series | Nov 4, 2021 | Data IntegrationDecoder | CodeCode Available | 0 | 5 |
