| Neural Structure Learning with Stochastic Differential Equations | Nov 6, 2023 | Variational Inference | —Unverified | 0 |
| Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks | Nov 4, 2023 | Active LearningDecision Making | CodeCode Available | 0 |
| Forward χ^2 Divergence Based Variational Importance Sampling | Nov 4, 2023 | parameter estimationVariational Inference | —Unverified | 0 |
| Disentangled Representation Learning with Transmitted Information Bottleneck | Nov 3, 2023 | DisentanglementRepresentation Learning | —Unverified | 0 |
| VIGraph: Generative Self-supervised Learning for Class-Imbalanced Node Classification | Nov 2, 2023 | Contrastive LearningNode Classification | —Unverified | 0 |
| Rethinking Variational Inference for Probabilistic Programs with Stochastic Support | Nov 1, 2023 | Variational Inference | CodeCode Available | 0 |
| Diffusion models for probabilistic programming | Nov 1, 2023 | Probabilistic ProgrammingVariational Inference | CodeCode Available | 0 |
| Bridging the Gap Between Variational Inference and Wasserstein Gradient Flows | Oct 31, 2023 | Variational Inference | CodeCode Available | 0 |
| Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images | Oct 30, 2023 | Gaussian ProcessesMultiple Instance Learning | —Unverified | 0 |
| Progressive Neural Network for Multi-Horizon Time Series Forecasting | Oct 30, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 0 |
