| Training-Free Bayesianization for Low-Rank Adapters of Large Language Models | Dec 7, 2024 | Variational Inference | CodeCode Available | 1 |
| Training Latent Variable Models with Auto-encoding Variational Bayes: A Tutorial | Aug 16, 2022 | Variational Inference | CodeCode Available | 1 |
| Bayesian sparsification for deep neural networks with Bayesian model reduction | Sep 21, 2023 | Deep LearningVariational Inference | CodeCode Available | 1 |
| Treatment effect estimation with disentangled latent factors | Jan 29, 2020 | Variational Inference | CodeCode Available | 1 |
| EDGE: Explaining Deep Reinforcement Learning Policies | Dec 1, 2021 | Deep Reinforcement LearningMuJoCo | CodeCode Available | 1 |
| Unifying supervised learning and VAEs -- coverage, systematics and goodness-of-fit in normalizing-flow based neural network models for astro-particle reconstructions | Aug 13, 2020 | Numerical IntegrationVariational Inference | CodeCode Available | 1 |
| Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees | Nov 2, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 |
| User-Dependent Neural Sequence Models for Continuous-Time Event Data | Nov 6, 2020 | Variational Inference | CodeCode Available | 1 |
| mmFall: Fall Detection using 4D MmWave Radar and a Hybrid Variational RNN AutoEncoder | Mar 5, 2020 | Variational Inference | CodeCode Available | 1 |
| Variational Graph Recurrent Neural Networks | Aug 26, 2019 | AttributeDynamic Link Prediction | CodeCode Available | 1 |
