| Predictive Uncertainty Quantification via Risk Decompositions for Strictly Proper Scoring Rules | Feb 16, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation | Feb 16, 2024 | Autonomous DrivingDepth Estimation | —Unverified | 0 |
| Language Models with Conformal Factuality Guarantees | Feb 15, 2024 | Conformal PredictionLanguage Modeling | —Unverified | 0 |
| Extrapolation-Aware Nonparametric Statistical Inference | Feb 15, 2024 | Uncertainty Quantification | CodeCode Available | 0 |
| Uncertainty Quantification for In-Context Learning of Large Language Models | Feb 15, 2024 | HallucinationIn-Context Learning | CodeCode Available | 1 |
| Negative impact of heavy-tailed uncertainty and error distributions on the reliability of calibration statistics for machine learning regression tasks | Feb 15, 2024 | regressionUncertainty Quantification | CodeCode Available | 0 |
| UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers | Feb 14, 2024 | Event DetectionUncertainty Quantification | —Unverified | 0 |
| Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs | Feb 13, 2024 | image-classificationImage Classification | —Unverified | 0 |
| Approximately Piecewise E(3) Equivariant Point Networks | Feb 13, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification via Stable Distribution Propagation | Feb 13, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution | Feb 13, 2024 | Decision MakingDeep Learning | CodeCode Available | 1 |
| AI enhanced data assimilation and uncertainty quantification applied to Geological Carbon Storage | Feb 9, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity | Feb 9, 2024 | Conformal PredictionHallucination | CodeCode Available | 1 |
| Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? | Feb 9, 2024 | Deep LearningOut-of-Distribution Detection | CodeCode Available | 0 |
| Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference | Feb 8, 2024 | Domain AdaptationUncertainty Quantification | CodeCode Available | 1 |
| Neural machine translation of clinical procedure codes for medical diagnosis and uncertainty quantification | Feb 7, 2024 | Decision MakingDiagnostic | —Unverified | 0 |
| Reconfidencing LLMs from the Grouping Loss Perspective | Feb 7, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Dimensionality reduction can be used as a surrogate model for high-dimensional forward uncertainty quantification | Feb 7, 2024 | Dimensionality ReductionUncertainty Quantification | —Unverified | 0 |
| Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects | Feb 7, 2024 | Decision MakingMarketing | CodeCode Available | 1 |
| Combining additivity and active subspaces for high-dimensional Gaussian process modeling | Feb 6, 2024 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Does confidence calibration improve conformal prediction? | Feb 6, 2024 | Conformal PredictionPrediction | CodeCode Available | 3 |
| Variational Shapley Network: A Probabilistic Approach to Self-Explaining Shapley values with Uncertainty Quantification | Feb 6, 2024 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| Bayesian Vector AutoRegression with Factorised Granger-Causal Graphs | Feb 6, 2024 | Time SeriesUncertainty Quantification | —Unverified | 0 |
| Partially Stochastic Infinitely Deep Bayesian Neural Networks | Feb 5, 2024 | Computational EfficiencyUncertainty Quantification | CodeCode Available | 0 |
| Functional SDE approximation inspired by a deep operator network architecture | Feb 5, 2024 | Operator learningUncertainty Quantification | —Unverified | 0 |
