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| Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation | Mar 18, 2024 | AnatomySegmentation | CodeCode Available | 0 | 5 |
| Sparse Bayesian Deep Learning for Dynamic System Identification | Jul 27, 2021 | Deep LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Conformal online model aggregation | Mar 22, 2024 | Conformal Predictionmodel | CodeCode Available | 0 | 5 |
| Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte Carlo | Oct 25, 2023 | QuantizationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Conformal Off-policy Prediction | Jun 14, 2022 | Conformal PredictionOff-policy evaluation | CodeCode Available | 0 | 5 |
| A Brief Review of Hypernetworks in Deep Learning | Jun 12, 2023 | Causal InferenceContinual Learning | CodeCode Available | 0 | 5 |
| Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification | Jul 13, 2022 | BenchmarkingLabel Error Detection | CodeCode Available | 0 | 5 |
| Bayesian Evidential Deep Learning with PAC Regularization | Jun 3, 2019 | Deep LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels | Oct 9, 2023 | Equation Discoveryregression | CodeCode Available | 0 | 5 |
| Stable and Convexified Information Bottleneck Optimization via Symbolic Continuation and Entropy-Regularized Trajectories | May 14, 2025 | Representation LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations | Mar 27, 2025 | Operator learningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification | Nov 26, 2022 | Additive modelsregression | CodeCode Available | 0 | 5 |
| Estimation and Applications of Quantiles in Deep Binary Classification | Feb 9, 2021 | Binary ClassificationClassification | 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 |
| Calibrated Computation-Aware Gaussian Processes | Oct 11, 2024 | Gaussian Processesregression | CodeCode Available | 0 | 5 |
| Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach | May 31, 2024 | Decision MakingGaussian Processes | CodeCode Available | 0 | 5 |
| Machine learning models for daily rainfall forecasting in Northern Tropical Africa using tropical wave predictors | Aug 29, 2024 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Quantifying Representation Reliability in Self-Supervised Learning Models | May 31, 2023 | Self-Supervised LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions | Jun 11, 2024 | Conformal PredictionUncertainty Quantification | —Unverified | 0 | 0 |
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| Conformalized Link Prediction on Graph Neural Networks | Jun 26, 2024 | Conformal PredictionLink Prediction | —Unverified | 0 | 0 |
| AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification | Oct 26, 2021 | Uncertainty Quantification | —Unverified | 0 | 0 |
| A Learning- and Scenario-based MPC Design for Nonlinear Systems in LPV Framework with Safety and Stability Guarantees | Jun 6, 2022 | Bayesian InferenceModel Predictive Control | —Unverified | 0 | 0 |