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Uncertainty Quantification

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Showing 1151–1175 of 2366 papers

TitleStatusHype
Beyond Reweighting: On the Predictive Role of Covariate Shift in Effect Generalization—0
Applied Bayesian Structural Health Monitoring: inclinometer data anomaly detection and forecasting—0
Efficient gPC-based quantification of probabilistic robustness for systems in neuroscience—0
Efficient Epistemic Uncertainty Estimation in Cerebrovascular Segmentation—0
Efficient Data Association and Uncertainty Quantification for Multi-Object Tracking—0
Beyond Non-Expert Demonstrations: Outcome-Driven Action Constraint for Offline Reinforcement Learning—0
Application of probabilistic modeling and automated machine learning framework for high-dimensional stress field—0
AdjointNet: Constraining machine learning models with physics-based codes—0
A Complete Characterisation of ReLU-Invariant Distributions—0
Ablation Studies for Novel Treatment Effect Estimation Models—0
Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks—0
Exchangeable Sequence Models Quantify Uncertainty Over Latent Concepts—0
Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control—0
Efficient Conformal Prediction under Data Heterogeneity—0
Beyond mirkwood: Enhancing SED Modeling with Conformal Predictions—0
Efficient Bayesian Physics Informed Neural Networks for Inverse Problems via Ensemble Kalman Inversion—0
Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation—0
Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry—0
Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems—0
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors—0
EBLIME: Enhanced Bayesian Local Interpretable Model-agnostic Explanations—0
Between Randomness and Arbitrariness: Some Lessons for Reliable Machine Learning at Scale—0
Max-Rank: Efficient Multiple Testing for Conformal Prediction—0
A Distributionally Robust Approach to Fair Classification—0
DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation—0
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