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Uncertainty Quantification

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TitleStatusHype
An Uncertainty-aware Loss Function for Training Neural Networks with Calibrated Predictions—0
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty—0
Improving Random Forests by Smoothing—0
Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models—0
Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings—0
Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games—0
Incorporating uncertainty quantification into travel mode choice modeling: a Bayesian neural network (BNN) approach and an uncertainty-guided active survey framework—0
Inductive Conformal Prediction under Data Scarcity: Exploring the Impacts of Nonconformity Measures—0
Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks—0
Inference and Uncertainty Quantification for Noisy Matrix Completion—0
Inference for Large Scale Regression Models with Dependent Errors—0
Tackling small eigen-gaps: Fine-grained eigenvector estimation and inference under heteroscedastic noise—0
Combinatorial Inference on the Optimal Assortment in Multinomial Logit Models—0
Inferences on Mixing Probabilities and Ranking in Mixed-Membership Models—0
Inferring Change Points in High-Dimensional Regression via Approximate Message Passing—0
Inferring power system dynamics from synchrophasor data using Gaussian processes—0
Influence of image segmentation on one-dimensional fluid dynamics predictions in the mouse pulmonary arteries—0
Influence of Material Parameter Variability on the Predicted Coronary Artery Biomechanical Environment via Uncertainty Quantification—0
Information-theoretic Analysis of Test Data Sensitivity in Uncertainty—0
Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems—0
Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation—0
Integral Imprecise Probability Metrics—0
Integrating Generative and Physics-Based Models for Ptychographic Imaging with Uncertainty Quantification—0
Integrating uncertainty quantification into randomized smoothing based robustness guarantees—0
Intent-Aware Probabilistic Trajectory Estimation for Collision Prediction with Uncertainty Quantification—0
Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities—0
Interpretable machine learning-guided design of Fe-based soft magnetic alloys—0
Interpretable Uncertainty Quantification in AI for HEP—0
Interval Deep Learning for Uncertainty Quantification in Safety Applications—0
IntraSeismic: a coordinate-based learning approach to seismic inversion—0
Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics—0
Inverted Gaussian Process Optimization for Nonparametric Koopman Operator Discovery—0
Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging—0
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging—0
Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification—0
Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra—0
Is MC Dropout Bayesian?—0
Monte Carlo is a good sampling strategy for polynomial approximation in high dimensions—0
JANET: Joint Adaptive predictioN-region Estimation for Time-series—0
JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows—0
Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming—0
Joint space-time wind field data extrapolation and uncertainty quantification using nonparametric Bayesian dictionary learning—0
Judging LLMs on a Simplex—0
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks—0
KACQ-DCNN: Uncertainty-Aware Interpretable Kolmogorov-Arnold Classical-Quantum Dual-Channel Neural Network for Heart Disease Detection—0
Kernel-based Optimally Weighted Conformal Prediction Intervals—0
K-Fold Causal BART for CATE Estimation—0
kNN Algorithm for Conditional Mean and Variance Estimation with Automated Uncertainty Quantification and Variable Selection—0
Beyond Matérn: On A Class of Interpretable Confluent Hypergeometric Covariance Functions—0
L2M: Practical posterior Laplace approximation with optimization-driven second moment estimation—0
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