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Uncertainty Quantification

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TitleStatusHype
Last layer state space model for representation learning and uncertainty quantification—0
Improving mathematical questioning in teacher training—0
Improving Label Error Detection and Elimination with Uncertainty Quantification—0
CONSeg: Voxelwise Glioma Conformal Segmentation—0
Improving Counterfactual Truthfulness for Molecular Property Prediction through Uncertainty Quantification—0
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation—0
Last Layer Empirical Bayes—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
CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition—0
Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings—0
BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayesian Fine-tuning—0
Latent Diffusion Model for Generating Ensembles of Climate Simulations—0
Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games—0
Learnable Bernoulli Dropout for Bayesian Deep Learning—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
Conformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics—0
Large-Scale Bayesian Tensor Reconstruction: An Approximate Message Passing Solution—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
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model—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
Conformal Uncertainty Quantification of Electricity Price Predictions for Risk-Averse Storage Arbitrage—0
Inferring power system dynamics from synchrophasor data using Gaussian processes—0
Continuum Limit of Posteriors in Graph Bayesian Inverse Problems—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
Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection—0
Controlled Dropout for Uncertainty Estimation—0
Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression—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
LAPD: Langevin-Assisted Bayesian Active Learning for Physical Discovery—0
Integrating uncertainty quantification into randomized smoothing based robustness guarantees—0
Intent-Aware Probabilistic Trajectory Estimation for Collision Prediction with Uncertainty Quantification—0
Bayesian approach to model-based extrapolation of nuclear observables—0
Correcting for Interference in Experiments: A Case Study at Douyin—0
Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities—0
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification—0
A machine learning approach for efficient uncertainty quantification using multiscale methods—0
Laplace Redux - Effortless Bayesian Deep Learning—0
Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection—0
Measurement Error and Counterfactuals in Quantitative Trade and Spatial Models—0
Large Scale Probabilistic Simulation of Renewables Production—0
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