| Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions | Jun 20, 2020 | Decision MakingSequential Decision Making | CodeCode Available | 0 | 5 |
| A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage | May 9, 2021 | Decision MakingManagement | CodeCode Available | 0 | 5 |
| Bayesian Quantification with Black-Box Estimators | Feb 17, 2023 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Conformalized Interval Arithmetic with Symmetric Calibration | Aug 20, 2024 | Conformal PredictionDecision Making | CodeCode Available | 0 | 5 |
| Flexible Amortized Variational Inference in qBOLD MRI | Mar 11, 2022 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 | 5 |
| Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation | May 25, 2024 | Conformal PredictionMULTI-VIEW LEARNING | CodeCode Available | 0 | 5 |
| Flat Posterior Does Matter For Bayesian Model Averaging | Jun 21, 2024 | modelTransfer Learning | CodeCode Available | 0 | 5 |
| Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks | Jun 13, 2024 | Crowd CountingOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Achieving Equalized Odds by Resampling Sensitive Attributes | Jun 8, 2020 | AttributeFairness | CodeCode Available | 0 | 5 |
| Fixing Overconfidence in Dynamic Neural Networks | Feb 13, 2023 | Decision MakingDeep Learning | CodeCode Available | 0 | 5 |
| Forecasting Local Ionospheric Parameters Using Transformers | Feb 20, 2025 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Full-field surrogate modeling of cardiac function encoding geometric variability | Apr 29, 2025 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| A Forward and Backward Compatible Framework for Few-shot Class-incremental Pill Recognition | Apr 24, 2023 | class-incremental learningClass Incremental Learning | CodeCode Available | 0 | 5 |
| Bayesian Parameter Estimation for Dynamical Models in Systems Biology | Apr 11, 2022 | parameter estimationUncertainty Quantification | CodeCode Available | 0 | 5 |
| A Bayesian Multiscale Deep Learning Framework for Flows in Random Media | Mar 8, 2021 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Achieving Distributive Justice in Federated Learning via Uncertainty Quantification | Apr 22, 2025 | EthicsFairness | CodeCode Available | 0 | 5 |
| Bayesian Optical Flow with Uncertainty Quantification | Nov 4, 2016 | Optical Flow EstimationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs | Mar 20, 2024 | Uncertainty Quantificationvalid | CodeCode Available | 0 | 5 |
| Fast Instrument Learning with Faster Rates | May 22, 2022 | Model Selectionregression | CodeCode Available | 0 | 5 |
| FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection | Nov 1, 2024 | ClassificationContrastive Learning | CodeCode Available | 0 | 5 |
| Full-waveform earthquake source inversion using simulation-based inference | Oct 30, 2024 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 | 5 |
| An Online Bootstrap for Time Series | Oct 30, 2023 | Time SeriesUncertainty Quantification | CodeCode Available | 0 | 5 |
| Uncertainty Quantification for Fairness in Two-Stage Recommender Systems | May 30, 2022 | FairnessRecommendation Systems | CodeCode Available | 0 | 5 |
| FaIRGP: A Bayesian Energy Balance Model for Surface Temperatures Emulation | Jul 14, 2023 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Fast and Accurate Emulation of the SDO/HMI Stokes Inversion with Uncertainty Quantification | Mar 31, 2021 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic Beliefs | Apr 18, 2025 | Information RetrievalUncertainty Quantification | CodeCode Available | 0 | 5 |
| Extracting Usable Predictions from Quantized Networks through Uncertainty Quantification for OOD Detection | Mar 2, 2024 | QuantizationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Probabilistic AutoRegressive Neural Networks for Accurate Long-range Forecasting | Apr 1, 2022 | Decision MakingEpidemiology | CodeCode Available | 0 | 5 |
| Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation | Oct 26, 2023 | Bayesian InferenceDecision Making | CodeCode Available | 0 | 5 |
| Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings | Nov 18, 2021 | Out-of-Distribution DetectionUncertainty Quantification | CodeCode Available | 0 | 5 |
| Extrapolation-Aware Nonparametric Statistical Inference | Feb 15, 2024 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Fast fitting of neural ordinary differential equations by Bayesian neural gradient matching to infer ecological interactions from time series data | Sep 13, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Bayesian Modeling of Zero-Shot Classifications for Urban Flood Detection | Mar 18, 2025 | Uncertainty Quantificationzero-shot-classification | CodeCode Available | 0 | 5 |
| Expectation consistency for calibration of neural networks | Mar 5, 2023 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| A new method of modeling the multi-stage decision-making process of CRT using machine learning with uncertainty quantification | Sep 15, 2023 | Decision MakingSpecificity | CodeCode Available | 0 | 5 |
| Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural Networks | Jan 10, 2025 | Anomaly DetectionBenchmarking | CodeCode Available | 0 | 5 |
| Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events | Dec 18, 2024 | Deep LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| E-Values Expand the Scope of Conformal Prediction | Mar 17, 2025 | Conformal PredictionPrediction | CodeCode Available | 0 | 5 |
| A Bayesian - Deep Learning model for estimating Covid-19 evolution in Spain | May 20, 2020 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Fully Bayesian inference for latent variable Gaussian process models | Nov 4, 2022 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 | 5 |
| Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? | Feb 9, 2024 | Deep LearningOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| An Ensemble Framework for Probabilistic Short-Term Load Forecasting Based on BiTCN and Deep Attention Networks | Feb 25, 2025 | Decision MakingDeep Attention | CodeCode Available | 0 | 5 |
| Bayesian Joint Additive Factor Models for Multiview Learning | Jun 2, 2024 | Multiview LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Estimating prevalence with precision and accuracy | Jul 8, 2025 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics | May 23, 2023 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation | Mar 18, 2024 | AnatomySegmentation | CodeCode Available | 0 | 5 |
| An Embedded Diachronic Sense Change Model with a Case Study from Ancient Greek | Nov 1, 2023 | Uncertainty QuantificationWord Embeddings | CodeCode Available | 0 | 5 |
| Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN sampler | Oct 24, 2023 | Bayesian InferenceComputed Tomography (CT) | CodeCode Available | 0 | 5 |
| EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations | Mar 27, 2025 | Operator learningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Epistemic Uncertainty in Conformal Scores: A Unified Approach | Feb 10, 2025 | Conformal PredictionGaussian Processes | CodeCode Available | 0 | 5 |