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Uncertainty Quantification

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TitleStatusHype
A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural NetworksCode0
Outlier-Detection for Reactive Machine Learned Potential Energy SurfacesCode0
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification—0
Uncertainty Quantification in Anomaly Detection with Cross-Conformal p-ValuesCode0
Physics-constrained polynomial chaos expansion for scientific machine learning and uncertainty quantification—0
Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks—0
Generative Modelling with Tensor Train approximations of Hamilton--Jacobi--Bellman equations—0
Probabilistically Correct Language-based Multi-Robot Planning using Conformal Prediction—0
Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond—0
Quantifying neural network uncertainty under volatility clustering—0
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests—0
Accuracy-Preserving Calibration via Statistical Modeling on Probability SimplexCode0
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods—0
Extending the Scope of Inference About Predictive Ability to Machine Learning Methods—0
Nonlinear Discrete-Time Observers with Physics-Informed Neural Networks—0
Uncertainty quantification in fine-tuned LLMs using LoRA ensemblesCode0
Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processes—0
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
Training Bayesian Neural Networks with Sparse Subspace Variational InferenceCode0
Extrapolation-Aware Nonparametric Statistical InferenceCode0
Negative impact of heavy-tailed uncertainty and error distributions on the reliability of calibration statistics for machine learning regression tasksCode0
Language Models with Conformal Factuality Guarantees—0
UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers—0
Approximately Piecewise E(3) Equivariant Point Networks—0
Uncertainty Quantification via Stable Distribution Propagation—0
Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs—0
AI enhanced data assimilation and uncertainty quantification applied to Geological Carbon Storage—0
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?Code0
Reconfidencing LLMs from the Grouping Loss Perspective—0
Dimensionality reduction can be used as a surrogate model for high-dimensional forward uncertainty quantification—0
Neural machine translation of clinical procedure codes for medical diagnosis and uncertainty quantification—0
Variational Shapley Network: A Probabilistic Approach to Self-Explaining Shapley values with Uncertainty Quantification—0
Bayesian Vector AutoRegression with Factorised Granger-Causal Graphs—0
Combining additivity and active subspaces for high-dimensional Gaussian process modeling—0
Functional SDE approximation inspired by a deep operator network architecture—0
Partially Stochastic Infinitely Deep Bayesian Neural NetworksCode0
Variational DAG Estimation via State Augmentation With Stochastic Permutations—0
Neural variational Data Assimilation with Uncertainty Quantification using SPDE priors—0
Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?Code0
Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction—0
kNN Algorithm for Conditional Mean and Variance Estimation with Automated Uncertainty Quantification and Variable Selection—0
Analog In-Memory Computing with Uncertainty Quantification for Efficient Edge-based Medical Imaging Segmentation—0
WiOpen: A Robust Wi-Fi-based Open-set Gesture Recognition FrameworkCode0
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
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
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