| A Closer Look at Disentangling in β-VAE | Dec 11, 2019 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| Functional Space Variational Inference for Uncertainty Estimation in Computer Aided Diagnosis | May 24, 2020 | Bayesian InferenceLesion Classification | —Unverified | 0 | 0 |
| Functional Complexity-adaptive Temporal Tensor Decomposition | Feb 10, 2025 | Tensor DecompositionVariational Inference | —Unverified | 0 | 0 |
| FUNCK: Information Funnels and Bottlenecks for Invariant Representation Learning | Nov 2, 2022 | Representation LearningVariational Inference | —Unverified | 0 | 0 |
| Classification of fNIRS Data Under Uncertainty: A Bayesian Neural Network Approach | Jan 18, 2021 | Binary ClassificationBrain Computer Interface | —Unverified | 0 | 0 |
| From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models | Jun 1, 2020 | Variational Inference | —Unverified | 0 | 0 |
| Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders | May 27, 2021 | Uncertainty QuantificationVariational Inference | —Unverified | 0 | 0 |
| A theoretical perspective on mode collapse in variational inference | Oct 17, 2024 | Variational Inference | —Unverified | 0 | 0 |
| From MAP to Marginals: Variational Inference in Bayesian Submodular Models | Dec 1, 2014 | Point ProcessesVariational Inference | —Unverified | 0 | 0 |
| Channel Fingerprint Construction for Massive MIMO: A Deep Conditional Generative Approach | May 12, 2025 | DenoisingKnowledge Distillation | —Unverified | 0 | 0 |
