| 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 |
| Full-waveform earthquake source inversion using simulation-based inference | Oct 30, 2024 | Bayesian InferenceUncertainty Quantification | 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 |
| Full-field surrogate modeling of cardiac function encoding geometric variability | Apr 29, 2025 | 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 |
| Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions | Jun 20, 2020 | Decision MakingSequential Decision Making | 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 |
| Flexible Amortized Variational Inference in qBOLD MRI | Mar 11, 2022 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 | 5 |
| Forecasting Local Ionospheric Parameters Using Transformers | Feb 20, 2025 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Fully Bayesian VIB-DeepSSM | May 9, 2023 | AnatomyUncertainty 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 |
| Architectural and Inferential Inductive Biases For Exchangeable Sequence Modeling | Mar 3, 2025 | Active LearningDecision Making | 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 |
| FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection | Nov 1, 2024 | ClassificationContrastive Learning | CodeCode Available | 0 | 5 |
| Adversarial Uncertainty Quantification in Physics-Informed Neural Networks | Nov 9, 2018 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| A Brief Review of Hypernetworks in Deep Learning | Jun 12, 2023 | Causal InferenceContinual Learning | CodeCode Available | 0 | 5 |
| A probabilistic generative model for semi-supervised training of coarse-grained surrogates and enforcing physical constraints through virtual observables | Jun 2, 2020 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks | Feb 28, 2024 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Fast Uncertainty Estimates in Deep Learning Interatomic Potentials | Nov 17, 2022 | Active LearningDeep Learning | CodeCode Available | 0 | 5 |
| Fixing Overconfidence in Dynamic Neural Networks | Feb 13, 2023 | Decision MakingDeep Learning | 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 |
| A practical guide to pseudo-marginal methods for computational inference in systems biology | Dec 28, 2019 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Fast Instrument Learning with Faster Rates | May 22, 2022 | Model Selectionregression | CodeCode Available | 0 | 5 |
| FaIRGP: A Bayesian Energy Balance Model for Surface Temperatures Emulation | Jul 14, 2023 | Uncertainty 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 |
| Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification | Mar 7, 2024 | Fact CheckingHallucination | CodeCode Available | 0 | 5 |
| Uncertainty Quantification for Fairness in Two-Stage Recommender Systems | May 30, 2022 | FairnessRecommendation Systems | CodeCode Available | 0 | 5 |
| Bi-fidelity Variational Auto-encoder for Uncertainty Quantification | May 25, 2023 | Computational EfficiencyDecoder | 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 |
| 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 |
| 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 |
| Flat Posterior Does Matter For Bayesian Model Averaging | Jun 21, 2024 | modelTransfer Learning | CodeCode Available | 0 | 5 |
| Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis | Jul 8, 2024 | Image SegmentationLesion Segmentation | CodeCode Available | 0 | 5 |
| Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation | Mar 18, 2024 | AnatomySegmentation | CodeCode Available | 0 | 5 |
| Estimating prevalence with precision and accuracy | Jul 8, 2025 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Estimation and Applications of Quantiles in Deep Binary Classification | Feb 9, 2021 | Binary ClassificationClassification | CodeCode Available | 0 | 5 |
| Binscatter Regressions | Feb 25, 2019 | quantile regressionregression | CodeCode Available | 0 | 5 |
| Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception | Feb 11, 2025 | Conformal PredictionUncertainty Quantification | CodeCode Available | 0 | 5 |
| Extrapolation-Aware Nonparametric Statistical Inference | Feb 15, 2024 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Approximate Message Passing for Bayesian Neural Networks | Jan 26, 2025 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 | 5 |
| BO4IO: A Bayesian optimization approach to inverse optimization with uncertainty quantification | May 28, 2024 | Bayesian OptimizationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics | May 23, 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 |
| Estimation of spatio-temporal extremes via generative neural networks | Jul 11, 2024 | parameter estimationUncertainty Quantification | CodeCode Available | 0 | 5 |
| A Comparative Study of Machine Learning Models for Predicting the State of Reactive Mixing | Feb 24, 2020 | BIG-bench Machine LearningEnsemble Learning | CodeCode Available | 0 | 5 |
| EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations | Mar 27, 2025 | Operator learningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Better Batch for Deep Probabilistic Time Series Forecasting | May 26, 2023 | Decision MakingProbabilistic Time Series Forecasting | CodeCode Available | 0 | 5 |