| The Role of Mutual Information in Variational Classifiers | Oct 22, 2020 | Variational Inference | —Unverified | 0 | 0 |
| The statistical thermodynamics of generative diffusion models: Phase transitions, symmetry breaking and critical instability | Oct 26, 2023 | MemorizationVariational Inference | —Unverified | 0 | 0 |
| The Theory and Algorithm of Ergodic Inference | Nov 17, 2018 | BIG-bench Machine LearningVariational Inference | —Unverified | 0 | 0 |
| The Transitive Information Theory and its Application to Deep Generative Models | Mar 9, 2022 | Inductive BiasVariational Inference | —Unverified | 0 | 0 |
| The Variational Gaussian Process | Nov 20, 2015 | Representation LearningVariational Inference | —Unverified | 0 | 0 |
| The Wyner Variational Autoencoder for Unsupervised Multi-Layer Wireless Fingerprinting | Mar 28, 2023 | Variational Inference | —Unverified | 0 | 0 |
| Thompson sampling for improved exploration in GFlowNets | Jun 30, 2023 | Active LearningDecision Making | —Unverified | 0 | 0 |
| Tightening Bounds for Variational Inference by Revisiting Perturbation Theory | Sep 30, 2019 | Gaussian ProcessesStochastic Optimization | —Unverified | 0 | 0 |
| Tight Variational Bounds via Random Projections and I-Projections | Oct 5, 2015 | Variational Inference | —Unverified | 0 | 0 |
| To Beta or Not To Beta: Information Bottleneck for DigitaL Image Forensics | Aug 11, 2019 | Image ForensicsRepresentation Learning | —Unverified | 0 | 0 |
