| Brain-like variational inference | Oct 25, 2024 | Variational Inference | —Unverified | 0 | 0 |
| A Primer on Variational Inference for Physics-Informed Deep Generative Modelling | Sep 10, 2024 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 | 0 |
| A stable deep adversarial learning approach for geological facies generation | May 12, 2023 | Variational Inference | —Unverified | 0 | 0 |
| A Probabilistic Generative Model of Free Categories | May 9, 2022 | modelVariational Inference | —Unverified | 0 | 0 |
| A recursive Bayesian neural network for constitutive modeling of sands under monotonic loading | Jan 17, 2025 | Bayesian InferenceSand | —Unverified | 0 | 0 |
| A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods | May 24, 2023 | Deep LearningUncertainty Quantification | —Unverified | 0 | 0 |
| A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds | Jan 25, 2016 | Active Learningparameter estimation | —Unverified | 0 | 0 |
| A Rule for Gradient Estimator Selection, with an Application to Variational Inference | Nov 5, 2019 | Variational Inference | —Unverified | 0 | 0 |
| A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks | Dec 1, 2013 | Link PredictionVariational Inference | —Unverified | 0 | 0 |
| Score Operator Newton transport | May 16, 2023 | Bayesian Inferencevalid | —Unverified | 0 | 0 |
