| Inferring the quantum density matrix with machine learning | Apr 11, 2019 | BIG-bench Machine LearningVariational Inference | —Unverified | 0 |
| Infinite Mixture of Inverted Dirichlet Distributions | Jul 27, 2018 | Variational Inference | —Unverified | 0 |
| InfoNCE is variational inference in a recognition parameterised model | Jul 6, 2021 | Bayesian InferenceSelf-Supervised Learning | —Unverified | 0 |
| Information Field Theory and Artificial Intelligence | Dec 19, 2021 | Variational Inference | —Unverified | 0 |
| Information Theory with Kernel Methods | Feb 17, 2022 | Variational Inference | —Unverified | 0 |
| Informative Priors Improve the Reliability of Multimodal Clinical Data Classification | Nov 17, 2023 | Time SeriesVariational Inference | —Unverified | 0 |
| Injective flows for star-like manifolds | Jun 13, 2024 | Density EstimationVariational Inference | —Unverified | 0 |
| Input Dependent Sparse Gaussian Processes | Jul 15, 2021 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Instance-Aware Graph Convolutional Network for Multi-Label Classification | Aug 19, 2020 | ClassificationGeneral Classification | —Unverified | 0 |
| Integrated Non-Factorized Variational Inference | Dec 1, 2013 | Variational Inference | —Unverified | 0 |
