| Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex | Feb 21, 2024 | Classifier calibrationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Bayesian Spillover Graphs for Dynamic Networks | Mar 3, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting | May 7, 2025 | Conformal PredictionImputation | CodeCode Available | 0 | 5 |
| Band-gap regression with architecture-optimized message-passing neural networks | Sep 12, 2023 | Band Gapband gap regression | CodeCode Available | 0 | 5 |
| Distil the informative essence of loop detector data set: Is network-level traffic forecasting hungry for more data? | Oct 31, 2023 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| A Closed-Form Uncertainty Propagation in Non-Rigid Structure from Motion | May 10, 2020 | FormUncertainty Quantification | CodeCode Available | 0 | 5 |
| Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliers | Jan 29, 2024 | Bayesian InferenceDistributed Optimization | CodeCode Available | 0 | 5 |
| On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation | Jan 22, 2020 | General ClassificationRepresentation Learning | CodeCode Available | 0 | 5 |
| Bayesian uncertainty quantification for data-driven equation learning | Feb 23, 2021 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Ensemble of Pre-Trained Neural Networks for Segmentation and Quality Detection of Transmission Electron Microscopy Images | Sep 5, 2022 | Semantic SegmentationUncertainty Quantification | CodeCode Available | 0 | 5 |
