| PhiNet v2: A Mask-Free Brain-Inspired Vision Foundation Model from Video | May 16, 2025 | Data AugmentationSelf-Supervised Learning | CodeCode Available | 0 | 5 |
| Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference | Jun 6, 2015 | Small Data Image ClassificationVariational Inference | CodeCode Available | 0 | 5 |
| Adaptive RKHS Fourier Features for Compositional Gaussian Process Models | Jul 1, 2024 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| On the challenges of learning with inference networks on sparse, high-dimensional data | Oct 17, 2017 | parameter estimationVariational Inference | CodeCode Available | 0 | 5 |
| Function Space Particle Optimization for Bayesian Neural Networks | Feb 26, 2019 | Reinforcement LearningVariational Inference | CodeCode Available | 0 | 5 |
| Gaussian Process-Gated Hierarchical Mixtures of Experts | Feb 9, 2023 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Generative Adversarial Networks with Decoder-Encoder Output Noise | Jul 11, 2018 | DecoderImage Generation | CodeCode Available | 0 | 5 |
| Fully Bayesian VIB-DeepSSM | May 9, 2023 | AnatomyUncertainty Quantification | CodeCode Available | 0 | 5 |
| From Patches to Images: A Nonparametric Generative Model | Aug 1, 2017 | DenoisingImage Inpainting | CodeCode Available | 0 | 5 |
| Functional Gradient Flows for Constrained Sampling | Oct 30, 2024 | Variational Inference | CodeCode Available | 0 | 5 |
