| From MAP to Marginals: Variational Inference in Bayesian Submodular Models | Dec 1, 2014 | Point ProcessesVariational Inference | —Unverified | 0 |
| Channel Fingerprint Construction for Massive MIMO: A Deep Conditional Generative Approach | May 12, 2025 | DenoisingKnowledge Distillation | —Unverified | 0 |
| Gradient-based inference of abstract task representations for generalization in neural networks | Jul 24, 2024 | Language ModellingVariational Inference | —Unverified | 0 |
| From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models | Jun 1, 2020 | Variational Inference | —Unverified | 0 |
| A theoretical perspective on mode collapse in variational inference | Oct 17, 2024 | Variational Inference | —Unverified | 0 |
| Bayesian Matrix Decomposition and Applications | Feb 18, 2023 | Variational Inference | —Unverified | 0 |
| Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification | Sep 18, 2022 | Bayesian InferenceClustering | —Unverified | 0 |
| Functional Complexity-adaptive Temporal Tensor Decomposition | Feb 10, 2025 | Tensor DecompositionVariational Inference | —Unverified | 0 |
| Variational Laplace for Bayesian neural networks | Nov 20, 2020 | BenchmarkingVariational Inference | —Unverified | 0 |
| Global Approximate Inference via Local Linearisation for Temporal Gaussian Processes | Oct 16, 2019 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
