| Deep Active Inference | Oct 11, 2018 | Variational Inference | CodeCode Available | 1 | 5 |
| Deep Causal Reasoning for Recommendations | Jan 6, 2022 | Recommendation SystemsVariational Inference | CodeCode Available | 1 | 5 |
| Bayesian sparsification for deep neural networks with Bayesian model reduction | Sep 21, 2023 | Deep LearningVariational Inference | CodeCode Available | 1 | 5 |
| Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling | Jun 11, 2024 | Decision MakingVariational Inference | 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 |
| Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching | Dec 27, 2023 | Variational Inference | CodeCode Available | 1 | 5 |
| Bayesian Image Reconstruction using Deep Generative Models | Dec 8, 2020 | Image DenoisingImage Inpainting | CodeCode Available | 1 | 5 |
| Variational multiple shooting for Bayesian ODEs with Gaussian processes | Jun 21, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 | 5 |
| Bayesian Confidence Calibration for Epistemic Uncertainty Modelling | Sep 21, 2021 | object-detectionObject Detection | CodeCode Available | 1 | 5 |
| Understanding and Accelerating Particle-Based Variational Inference | Jul 4, 2018 | Bayesian InferenceVariational Inference | CodeCode Available | 1 | 5 |
