| Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving | Jul 11, 2021 | Autonomous DrivingDecision Making | CodeCode Available | 0 |
| Koopman Ensembles for Probabilistic Time Series Forecasting | Mar 11, 2024 | Probabilistic Time Series ForecastingTime Series | CodeCode Available | 0 |
| KrigHedge: Gaussian Process Surrogates for Delta Hedging | Oct 16, 2020 | LEMMAUncertainty Quantification | CodeCode Available | 0 |
| Predictive Inference With Fast Feature Conformal Prediction | Dec 1, 2024 | Conformal PredictionPrediction | CodeCode Available | 0 |
| Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction | Jul 8, 2022 | Optical Flow EstimationUncertainty Quantification | CodeCode Available | 0 |
| Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles | May 2, 2023 | Active LearningDomain Generalization | CodeCode Available | 0 |
| Label-wise Aleatoric and Epistemic Uncertainty Quantification | Jun 4, 2024 | Decision MakingUncertainty Quantification | CodeCode Available | 0 |
| Distribution-Free Predictive Inference under Unknown Temporal Drift | Jun 10, 2024 | PredictionUncertainty Quantification | CodeCode Available | 0 |
| Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification | Jul 13, 2022 | BenchmarkingLabel Error Detection | CodeCode Available | 0 |
| Langevin-gradient parallel tempering for Bayesian neural learning | Nov 11, 2018 | Decision MakingTime Series | CodeCode Available | 0 |
| Training Bayesian Neural Networks with Sparse Subspace Variational Inference | Feb 16, 2024 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 |
| Prediction Sets Adaptive to Unknown Covariate Shift | Mar 11, 2022 | PredictionUncertainty Quantification | CodeCode Available | 0 |
| Compact Bayesian Neural Networks via pruned MCMC sampling | Jan 12, 2025 | Network PruningUncertainty Quantification | CodeCode Available | 0 |
| Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point Processes | Jan 9, 2024 | Conformal PredictionPoint Processes | CodeCode Available | 0 |
| Prior Guided Dropout for Robust Visual Localization in Dynamic Environments | Oct 1, 2019 | Camera LocalizationUncertainty Quantification | CodeCode Available | 0 |
| Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification | Mar 23, 2023 | Image SegmentationSegmentation | CodeCode Available | 0 |
| Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation | Oct 26, 2023 | Bayesian InferenceDecision Making | CodeCode Available | 0 |
| Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks | Nov 4, 2023 | Active LearningDecision Making | CodeCode Available | 0 |
| CoDiCast: Conditional Diffusion Model for Global Weather Prediction with Uncertainty Quantification | Sep 9, 2024 | Computational EfficiencyDenoising | CodeCode Available | 0 |
| CODES: Benchmarking Coupled ODE Surrogates | Oct 28, 2024 | BenchmarkingUncertainty Quantification | CodeCode Available | 0 |
| SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process | Oct 25, 2023 | PredictionType prediction | CodeCode Available | 0 |
| ClaudesLens: Uncertainty Quantification in Computer Vision Models | Jun 18, 2024 | Uncertainty Quantification | CodeCode Available | 0 |
| Probabilistic computation and uncertainty quantification with emerging covariance | May 30, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| Distribution-Free Calibration of Statistical Confidence Sets | Nov 28, 2024 | Conformal PredictionUncertainty Quantification | CodeCode Available | 0 |
| LatentExplainer: Explaining Latent Representations in Deep Generative Models with Multimodal Large Language Models | Jun 21, 2024 | Uncertainty Quantification | CodeCode Available | 0 |