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Uncertainty Quantification

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Showing 401–450 of 2366 papers

TitleStatusHype
Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector—0
Exchangeable Sequence Models Quantify Uncertainty Over Latent Concepts—0
Conformal Prediction for Trustworthy Detection of Railway Signals—0
Building Robust Machine Learning Models for Small Chemical Science Data: The Case of Shear Viscosity—0
Building Safe and Reliable AI systems for Safety Critical Tasks with Vision-Language Processing—0
Bridging the Gap Between Explainable AI and Uncertainty Quantification to Enhance Trustability—0
Bridging Data-Driven and Physics-Based Models: A Consensus Multi-Model Kalman Filter for Robust Vehicle State Estimation—0
A Fast, Reliable, and Secure Programming Language for LLM Agents with Code Actions—0
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling—0
Bridging AI and Clinical Practice: Integrating Automated Sleep Scoring Algorithm with Uncertainty-Guided Physician Review—0
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data—0
A recursive Bayesian neural network for constitutive modeling of sands under monotonic loading—0
Are generative models fair? A study of racial bias in dermatological image generation—0
Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction—0
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation—0
Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation—0
Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models—0
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises—0
Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding—0
Calibration and Uncertainty Quantification of Bayesian Convolutional Neural Networks for Geophysical Applications—0
Calibration of the von Wolffersdorff model using Genetic Algorithms—0
Can Bayesian Neural Networks Make Confident Predictions?—0
Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective—0
Are vision language models robust to uncertain inputs?—0
Adversarial Attacks Against Uncertainty Quantification—0
Ablation Studies for Novel Treatment Effect Estimation Models—0
A Bulirsch-Stoer algorithm using Gaussian processes—0
Conformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics—0
CATPlan: Loss-based Collision Prediction in End-to-End Autonomous Driving—0
Causal Bayesian Optimization—0
Causal Estimation for Text Data with (Apparent) Overlap Violations—0
Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Prediction—0
Center-fixing of tropical cyclones using uncertainty-aware deep learning applied to high-temporal-resolution geostationary satellite imagery—0
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference—0
A robustness measure for singular point and index estimation in discretized orientation and vector fields—0
Certified and fast computations with shallow covariance kernels—0
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems—0
A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation—0
Advances in Surrogate Modeling for Biological Agent-Based Simulations: Trends, Challenges, and Future Prospects—0
Characterising User Transfer Amid Industrial Resource Variation: A Bayesian Nonparametric Approach—0
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness—0
Clarifying Trust of Materials Property Predictions using Neural Networks with Distribution-Specific Uncertainty Quantification—0
B-LSTM-MIONet: Bayesian LSTM-based Neural Operators for Learning the Response of Complex Dynamical Systems to Length-Variant Multiple Input Functions—0
Uncertainty-aware multi-fidelity surrogate modeling with noisy data—0
A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval—0
Black-box Uncertainty Quantification Method for LLM-as-a-Judge—0
Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields—0
Approximately Piecewise E(3) Equivariant Point Networks—0
Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion—0
Conformal Prediction for Natural Language Processing: A Survey—0
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