| Prediction of wind turbines power with physics-informed neural networks and evidential uncertainty quantification | Jul 27, 2023 | Fault DetectionUncertainty Quantification | CodeCode Available | 1 |
| Private Prediction Sets | Feb 11, 2021 | Conformal PredictionDecision Making | CodeCode Available | 1 |
| Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data | May 1, 2023 | Decision MakingLung Nodule Segmentation | CodeCode Available | 1 |
| A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs | May 13, 2025 | HallucinationUncertainty Quantification | CodeCode Available | 1 |
| Probabilistic Contrastive Principal Component Analysis | Dec 14, 2020 | Dimensionality ReductionUncertainty Quantification | CodeCode Available | 1 |
| A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space | Sep 21, 2023 | GPURepresentation Learning | CodeCode Available | 1 |
| Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval | Sep 29, 2023 | Cross-Modal RetrievalImage-text matching | CodeCode Available | 1 |
| alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction | Jan 21, 2022 | Uncertainty QuantificationVariational Inference | CodeCode Available | 1 |
| Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures? | Sep 7, 2022 | Uncertainty Quantification | CodeCode Available | 1 |
| Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors | Sep 9, 2019 | Object LocalizationPrediction | CodeCode Available | 1 |
| Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires | Dec 2, 2022 | Uncertainty Quantification | CodeCode Available | 1 |
| RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation | Aug 16, 2020 | Efficient Neural NetworkImage Segmentation | CodeCode Available | 1 |
| Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction | Aug 18, 2023 | Conformal PredictionDecision Making | CodeCode Available | 1 |
| Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes | Jul 20, 2020 | ClassificationGaussian Processes | CodeCode Available | 1 |
| SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates | Aug 24, 2020 | Uncertainty Quantification | CodeCode Available | 1 |
| Bayesian Optimization with Conformal Prediction Sets | Oct 22, 2022 | Active LearningBayesian Optimization | CodeCode Available | 1 |
| Semi-supervised Variational Autoencoder for Regression: Application on Soft Sensors | Nov 11, 2022 | regressionUncertainty Quantification | CodeCode Available | 1 |
| Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness | Jun 17, 2020 | Uncertainty Quantification | CodeCode Available | 1 |
| Uncertainty Estimation Using a Single Deep Deterministic Neural Network | Mar 4, 2020 | Out-of-Distribution DetectionUncertainty Quantification | CodeCode Available | 1 |
| Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields | Sep 6, 2023 | Depth EstimationNeRF | CodeCode Available | 1 |
| Simulator-Based Inference with Waldo: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems | May 31, 2022 | PredictionUncertainty Quantification | CodeCode Available | 1 |
| Speech Intelligibility Assessment of Dysarthric Speech by using Goodness of Pronunciation with Uncertainty Quantification | May 28, 2023 | Uncertainty Quantification | CodeCode Available | 1 |
| Bayesian graph convolutional neural networks via tempered MCMC | Apr 17, 2021 | Bayesian InferenceDeep Learning | CodeCode Available | 1 |
| Superior Scoring Rules for Probabilistic Evaluation of Single-Label Multi-Class Classification Tasks | Jul 25, 2024 | Model OptimizationModel Selection | CodeCode Available | 1 |
| AutoIP: A United Framework to Integrate Physics into Gaussian Processes | Feb 24, 2022 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 1 |
