| Active Subspace of Neural Networks: Structural Analysis and Universal Attacks | Oct 29, 2019 | Adversarial AttackUncertainty Quantification | CodeCode Available | 0 | 5 |
| A Kernel-Expanded Stochastic Neural Network | Jan 14, 2022 | ImputationPrediction | CodeCode Available | 0 | 5 |
| Fully Bayesian VIB-DeepSSM | May 9, 2023 | AnatomyUncertainty Quantification | CodeCode Available | 0 | 5 |
| Fully Bayesian inference for latent variable Gaussian process models | Nov 4, 2022 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 | 5 |
| Function-space Parameterization of Neural Networks for Sequential Learning | Mar 16, 2024 | Continual LearningGaussian Processes | CodeCode Available | 0 | 5 |
| Gated Linear Model induced U-net for surrogate modeling and uncertainty quantification | Nov 8, 2021 | Image-to-Image RegressionUncertainty Quantification | CodeCode Available | 0 | 5 |
| Generalised Linear Models for Dependent Binary Outcomes with Applications to Household Stratified Pandemic Influenza Data | Nov 27, 2019 | Model SelectionUncertainty Quantification | CodeCode Available | 0 | 5 |
| Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions | Jun 20, 2020 | Decision MakingSequential Decision Making | CodeCode Available | 0 | 5 |
| Forecasting Local Ionospheric Parameters Using Transformers | Feb 20, 2025 | Uncertainty Quantification | 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 |
| Full-field surrogate modeling of cardiac function encoding geometric variability | Apr 29, 2025 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors | Oct 12, 2023 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Fixing Overconfidence in Dynamic Neural Networks | Feb 13, 2023 | Decision MakingDeep Learning | CodeCode Available | 0 | 5 |
| Flat Posterior Does Matter For Bayesian Model Averaging | Jun 21, 2024 | modelTransfer Learning | CodeCode Available | 0 | 5 |
| FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection | Nov 1, 2024 | ClassificationContrastive Learning | CodeCode Available | 0 | 5 |
| Flexible Amortized Variational Inference in qBOLD MRI | Mar 11, 2022 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 | 5 |
| Full-waveform earthquake source inversion using simulation-based inference | Oct 30, 2024 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 | 5 |
| Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning | May 12, 2022 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 | 5 |
| Fast Uncertainty Estimates in Deep Learning Interatomic Potentials | Nov 17, 2022 | Active LearningDeep Learning | CodeCode Available | 0 | 5 |
| A Study on the Calibration of In-context Learning | Dec 7, 2023 | In-Context LearningNatural Language Understanding | CodeCode Available | 0 | 5 |
| On double-descent in uncertainty quantification in overparametrized models | Oct 23, 2022 | Binary ClassificationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Active Learning for Deep Gaussian Process Surrogates | Dec 15, 2020 | Active LearningGaussian Processes | 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 |
| Fast and Accurate Emulation of the SDO/HMI Stokes Inversion with Uncertainty Quantification | Mar 31, 2021 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Fast Instrument Learning with Faster Rates | May 22, 2022 | Model Selectionregression | 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 |
| Extrapolation-Aware Nonparametric Statistical Inference | Feb 15, 2024 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification | Mar 7, 2024 | Fact CheckingHallucination | CodeCode Available | 0 | 5 |
| Active Inference Meeting Energy-Efficient Control of Parallel and Identical Machines | Jun 13, 2024 | Decision MakingDeep Learning | 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 |
| FaIRGP: A Bayesian Energy Balance Model for Surface Temperatures Emulation | Jul 14, 2023 | Uncertainty Quantification | 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 |
| ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems | May 8, 2024 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 | 5 |
| Expectation consistency for calibration of neural networks | Mar 5, 2023 | 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 |
| Uncertainty Quantification for Fairness in Two-Stage Recommender Systems | May 30, 2022 | FairnessRecommendation Systems | CodeCode Available | 0 | 5 |
| A Generic Framework for Conformal Fairness | May 22, 2025 | Conformal PredictionFairness | CodeCode Available | 0 | 5 |
| A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness | May 1, 2022 | Data AugmentationDeep Learning | 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 |
| Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems | Jul 17, 2023 | Out-of-Distribution GeneralizationTransfer Learning | CodeCode Available | 0 | 5 |
| E-Values Expand the Scope of Conformal Prediction | Mar 17, 2025 | Conformal PredictionPrediction | CodeCode Available | 0 | 5 |
| Evaluating Bayesian Deep Learning Methods for Semantic Segmentation | Nov 30, 2018 | Anomaly DetectionAutonomous Driving | CodeCode Available | 0 | 5 |
| Accelerating Convergence in Bayesian Few-Shot Classification | May 2, 2024 | ClassificationFew-Shot Learning | CodeCode Available | 0 | 5 |
| Evaluating Uncertainty in Deep Gaussian Processes | Apr 24, 2025 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 | 5 |
| Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events | Dec 18, 2024 | Deep LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| AGEM: Solving Linear Inverse Problems via Deep Priors and Sampling | Dec 1, 2019 | Bayesian InferenceDeblurring | CodeCode Available | 0 | 5 |
| Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images | Dec 23, 2023 | Anomaly DetectionArtifact Detection | CodeCode Available | 0 | 5 |
| Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation | Mar 18, 2024 | AnatomySegmentation | CodeCode Available | 0 | 5 |
| Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition | Jul 1, 2024 | Emotion RecognitionPrediction | CodeCode Available | 0 | 5 |
| ACon^2: Adaptive Conformal Consensus for Provable Blockchain Oracles | Nov 17, 2022 | Uncertainty Quantification | CodeCode Available | 0 | 5 |