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| Generating Neural Networks with Neural Networks | Jan 6, 2018 | DiversityVariational Inference | CodeCode Available | 0 | 5 |
| Advancing calibration for stochastic agent-based models in epidemiology with Stein variational inference and Gaussian process surrogates | Feb 26, 2025 | EpidemiologyVariational Inference | CodeCode Available | 0 | 5 |
| Gaussian Process-Gated Hierarchical Mixtures of Experts | Feb 9, 2023 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Seismic Random Noise Attenuation Based on Non-IID Pixel-Wise Gaussian Noise Modeling | May 16, 2023 | DenoisingGeophysics | CodeCode Available | 0 | 5 |
| Generalized Variational Inference: Three arguments for deriving new Posteriors | Apr 3, 2019 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 | 5 |
| Semi-crowdsourced Clustering with Deep Generative Models | Oct 29, 2018 | ClusteringVariational Inference | CodeCode Available | 0 | 5 |
| Semi-Implicit Variational Inference | May 28, 2018 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| GFlowNets and variational inference | Oct 2, 2022 | DiversityReinforcement Learning (RL) | CodeCode Available | 0 | 5 |
