| Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte Carlo | Oct 25, 2023 | QuantizationUncertainty Quantification | CodeCode Available | 0 |
| PAC Prediction Sets Under Label Shift | Oct 19, 2023 | PredictionUncertainty Quantification | CodeCode Available | 0 |
| Uncertainty Prediction Neural Network (UpNet): Embedding Artificial Neural Network in Bayesian Inversion Framework to Quantify the Uncertainty of Remote Sensing Retrieval | Nov 7, 2024 | Bayesian InferenceComputational Efficiency | CodeCode Available | 0 |
| Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA | Oct 31, 2024 | Deep LearningDiversity | CodeCode Available | 0 |
| Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics | May 31, 2022 | Generative Adversarial NetworkUncertainty Quantification | CodeCode Available | 0 |
| A Closed-Form Uncertainty Propagation in Non-Rigid Structure from Motion | May 10, 2020 | FormUncertainty Quantification | CodeCode Available | 0 |
| Emulating compact binary population synthesis simulations with robust uncertainty quantification and model comparison: Bayesian normalizing flows | Jun 6, 2025 | AstronomyUncertainty Quantification | CodeCode Available | 0 |
| GAN-DUF: Hierarchical Deep Generative Models for Design Under Free-Form Geometric Uncertainty | Feb 21, 2022 | FormGenerative Adversarial Network | CodeCode Available | 0 |
| Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models | Feb 20, 2025 | Fact Checkingtext-classification | CodeCode Available | 0 |
| Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting | Mar 26, 2024 | Motion ForecastingTrajectory Forecasting | CodeCode Available | 0 |
