| Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance | Feb 21, 2023 | Variational Inference | CodeCode Available | 1 | 5 |
| Gradient-free variational learning with conditional mixture networks | Aug 29, 2024 | Computational EfficiencyMixture-of-Experts | CodeCode Available | 1 | 5 |
| Can Transformers Learn Full Bayesian Inference in Context? | Jan 28, 2025 | Bayesian InferenceIn-Context Learning | CodeCode Available | 1 | 5 |
| HypoSVI: Hypocenter inversion with Stein variational inference and Physics Informed Neural Networks | Jan 9, 2021 | validVariational Inference | CodeCode Available | 1 | 5 |
| Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation | Aug 8, 2022 | Image SegmentationMedical Image Segmentation | CodeCode Available | 1 | 5 |
| Improving Variational Inference with Inverse Autoregressive Flow | Jun 15, 2016 | Variational Inference | CodeCode Available | 1 | 5 |
| Cauchy-Schwarz Divergence Information Bottleneck for Regression | Apr 27, 2024 | Adversarial RobustnessInformation Plane | CodeCode Available | 1 | 5 |
| Bit Allocation using Optimization | Sep 20, 2022 | Variational InferenceVideo Compression | CodeCode Available | 1 | 5 |
| Blind Equalization and Channel Estimation in Coherent Optical Communications Using Variational Autoencoders | Apr 25, 2022 | Variational Inference | CodeCode Available | 1 | 5 |
| ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows | Aug 11, 2020 | Variational Inference | CodeCode Available | 1 | 5 |
