| Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data | Oct 31, 2023 | Causal DiscoveryEEG | —Unverified | 0 |
| Distil the informative essence of loop detector data set: Is network-level traffic forecasting hungry for more data? | Oct 31, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI | Oct 30, 2023 | Image SegmentationMedical Diagnosis | —Unverified | 0 |
| An Online Bootstrap for Time Series | Oct 30, 2023 | Time SeriesUncertainty Quantification | CodeCode Available | 0 |
| Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector | Oct 29, 2023 | counterfactualDecision Making | —Unverified | 0 |
| Intrinsic Gaussian Vector Fields on Manifolds | Oct 28, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| Function Space Bayesian Pseudocoreset for Bayesian Neural Networks | Oct 27, 2023 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation | Oct 26, 2023 | Bayesian InferenceDecision Making | CodeCode Available | 0 |
| SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process | Oct 25, 2023 | PredictionType prediction | CodeCode Available | 0 |
| Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks | Oct 25, 2023 | Conformal PredictionDecision Making | —Unverified | 0 |
| Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte Carlo | Oct 25, 2023 | QuantizationUncertainty Quantification | CodeCode Available | 0 |
| Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process with Uncertainty Quantification | Oct 25, 2023 | Point ProcessesUncertainty Quantification | —Unverified | 0 |
| Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression | Oct 25, 2023 | regressionsubspace methods | —Unverified | 0 |
| Distributed Uncertainty Quantification of Kernel Interpolation on Spheres | Oct 25, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN sampler | Oct 24, 2023 | Bayesian InferenceComputed Tomography (CT) | CodeCode Available | 0 |
| Learned, uncertainty-driven adaptive acquisition for photon-efficient scanning microscopy | Oct 24, 2023 | DenoisingHallucination | —Unverified | 0 |
| Modeling groundwater levels in California's Central Valley by hierarchical Gaussian process and neural network regression | Oct 23, 2023 | Gaussian Processesregression | CodeCode Available | 0 |
| Southern Ocean Dynamics Under Climate Change: New Knowledge Through Physics-Guided Machine Learning | Oct 21, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability | Oct 20, 2023 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 |
| Approaches for Uncertainty Quantification of AI-predicted Material Properties: A Comparison | Oct 19, 2023 | PredictionPrediction Intervals | —Unverified | 0 |
| Sequential Gibbs Posteriors with Applications to Principal Component Analysis | Oct 19, 2023 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| PAC Prediction Sets Under Label Shift | Oct 19, 2023 | PredictionUncertainty Quantification | CodeCode Available | 0 |
| Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse Problems | Oct 18, 2023 | Image ReconstructionUncertainty Quantification | CodeCode Available | 0 |
| Thin and Deep Gaussian Processes | Oct 17, 2023 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 1 |
| On the Temperature of Bayesian Graph Neural Networks for Conformal Prediction | Oct 17, 2023 | Conformal PredictionPrediction | —Unverified | 0 |
