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Uncertainty Quantification

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Showing 951–1000 of 2366 papers

TitleStatusHype
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation—0
Predictive Uncertainty Quantification via Risk Decompositions for Strictly Proper Scoring Rules—0
Language Models with Conformal Factuality Guarantees—0
Extrapolation-Aware Nonparametric Statistical InferenceCode0
Uncertainty Quantification for In-Context Learning of Large Language ModelsCode1
Negative impact of heavy-tailed uncertainty and error distributions on the reliability of calibration statistics for machine learning regression tasksCode0
UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers—0
Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs—0
Uncertainty Quantification via Stable Distribution Propagation—0
Approximately Piecewise E(3) Equivariant Point Networks—0
Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global EvolutionCode1
AI enhanced data assimilation and uncertainty quantification applied to Geological Carbon Storage—0
Introspective Planning: Aligning Robots' Uncertainty with Inherent Task AmbiguityCode1
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?Code0
Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free InferenceCode1
Neural machine translation of clinical procedure codes for medical diagnosis and uncertainty quantification—0
Dimensionality reduction can be used as a surrogate model for high-dimensional forward uncertainty quantification—0
Reconfidencing LLMs from the Grouping Loss Perspective—0
Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment EffectsCode1
Combining additivity and active subspaces for high-dimensional Gaussian process modeling—0
Does confidence calibration improve conformal prediction?Code3
Variational Shapley Network: A Probabilistic Approach to Self-Explaining Shapley values with Uncertainty Quantification—0
Bayesian Vector AutoRegression with Factorised Granger-Causal Graphs—0
Partially Stochastic Infinitely Deep Bayesian Neural NetworksCode0
Functional SDE approximation inspired by a deep operator network architecture—0
Variational DAG Estimation via State Augmentation With Stochastic Permutations—0
Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction—0
Neural variational Data Assimilation with Uncertainty Quantification using SPDE priors—0
kNN Algorithm for Conditional Mean and Variance Estimation with Automated Uncertainty Quantification and Variable Selection—0
Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?Code0
Analog In-Memory Computing with Uncertainty Quantification for Efficient Edge-based Medical Imaging Segmentation—0
Multivariate Probabilistic Time Series Forecasting with Correlated ErrorsCode1
Uncertainty-Aware Guidance for Target Tracking subject to Intermittent Measurements using Motion Model LearningCode0
LTAU-FF: Loss Trajectory Analysis for Uncertainty in Atomistic Force FieldsCode0
Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning—0
WiOpen: A Robust Wi-Fi-based Open-set Gesture Recognition FrameworkCode0
Linguistically Communicating Uncertainty in Patient-Facing Risk Prediction Models—0
Dynamical System Identification, Model Selection and Model Uncertainty Quantification by Bayesian Inference—0
Polynomial Chaos Expansions on Principal Geodesic Grassmannian Submanifolds for Surrogate Modeling and Uncertainty Quantification—0
Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of MultipliersCode0
Influence of Material Parameter Variability on the Predicted Coronary Artery Biomechanical Environment via Uncertainty Quantification—0
When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges—0
Towards Uncertainty-Aware Language Agent—0
Self-Improving Interference Management Based on Deep Learning With Uncertainty Quantification—0
Benchmarking LLMs via Uncertainty QuantificationCode3
Sparse discovery of differential equations based on multi-fidelity Gaussian process—0
Uncertainty quantification of receptor ligand binding sites prediction—0
High Confidence Level Inference is Almost Free using Parallel Stochastic Optimization—0
Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling—0
Uncertainty-Aware Hardware Trojan Detection Using Multimodal Deep LearningCode0
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