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| Evaluating Bayesian Deep Learning Methods for Semantic Segmentation | Nov 30, 2018 | Anomaly DetectionAutonomous Driving | CodeCode Available | 0 |
| CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs | Jun 5, 2024 | ClusteringNatural Language Inference | CodeCode Available | 0 |
| NRSeg: Noise-Resilient Learning for BEV Semantic Segmentation via Driving World Models | Jul 5, 2025 | Autonomous DrivingBEV Segmentation | CodeCode Available | 0 |
| Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions | Jun 20, 2020 | Decision MakingSequential Decision Making | CodeCode Available | 0 |
| Testing Hypotheses of Covariate Effects on Topics of Discourse | Jun 5, 2025 | parameter estimationUncertainty Quantification | CodeCode Available | 0 |
| Cryo-forum: A framework for orientation recovery with uncertainty measure with the application in cryo-EM image analysis | Jul 19, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage | May 9, 2021 | Decision MakingManagement | CodeCode Available | 0 |
| Estimation of spatio-temporal extremes via generative neural networks | Jul 11, 2024 | parameter estimationUncertainty Quantification | CodeCode Available | 0 |
| Counterfactual Plans under Distributional Ambiguity | Jan 29, 2022 | counterfactualUncertainty Quantification | CodeCode Available | 0 |
