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Uncertainty Quantification

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Showing 451–500 of 2366 papers

TitleStatusHype
Assessment of DeepONet for reliability analysis of stochastic nonlinear dynamical systems—0
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees—0
Collaborative Deterministic-Probabilistic Forecasting for Real-World Spatiotemporal Systems—0
Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation—0
Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification—0
Combined Data and Deep Learning Model Uncertainties: An Application to the Measurement of Solid Fuel Regression Rate—0
Combined State and Parameter Estimation in Level-Set Methods—0
Advances in Surrogate Modeling for Biological Agent-Based Simulations: Trends, Challenges, and Future Prospects—0
B-LSTM-MIONet: Bayesian LSTM-based Neural Operators for Learning the Response of Complex Dynamical Systems to Length-Variant Multiple Input Functions—0
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review—0
Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation—0
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification—0
Uncertainty-aware multi-fidelity surrogate modeling with noisy data—0
Black-box Uncertainty Quantification Method for LLM-as-a-Judge—0
A Statistical Machine Learning Approach for Adapting Reduced-Order Models using Projected Gaussian Process—0
Comparing the quality of neural network uncertainty estimates for classification problems—0
Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields—0
A Strategy for Adaptive Sampling of Multi-fidelity Gaussian Process to Reduce Predictive Uncertainty—0
Complementing Semi-Supervised Learning with Uncertainty Quantification—0
Compressed particle methods for expensive models with application in Astronomy and Remote Sensing—0
Approximately Piecewise E(3) Equivariant Point Networks—0
Computing High-dimensional Confidence Sets for Arbitrary Distributions—0
Accelerating Markov Random Field Inference with Uncertainty Quantification—0
Condensed Stein Variational Gradient Descent for Uncertainty Quantification of Neural Networks—0
Conditional Conformal Risk Adaptation—0
Conditional Coverage Estimation for High-quality Prediction Intervals—0
Conditional Diffusion-Based Retrieval of Atmospheric CO2 from Earth Observing Spectroscopy—0
Conditional Distribution Quantization in Machine Learning—0
Cycles of Thought: Measuring LLM Confidence through Stable Explanations—0
DADEE: Well-calibrated uncertainty quantification in neural networks for barriers-based robot safety—0
A Survey on Uncertainty Toolkits for Deep Learning—0
Conditional Korhunen-Loéve regression model with Basis Adaptation for high-dimensional problems: uncertainty quantification and inverse modeling—0
Conditional Neural Processes for Molecules—0
Asymmetric Duos: Sidekicks Improve Uncertainty—0
Composing Normalizing Flows for Inverse Problems—0
Conditional Shift-Robust Conformal Prediction for Graph Neural Network—0
Conditional Uncertainty Quantification for Tensorized Topological Neural Networks—0
Conditional Variational Autoencoder for Learned Image Reconstruction—0
ConfEviSurrogate: A Conformalized Evidential Surrogate Model for Uncertainty Quantification—0
Confidence Interval Construction and Conditional Variance Estimation with Dense ReLU Networks—0
Confidence Intervals and Simultaneous Confidence Bands Based on Deep Learning—0
A Systematic Computational Framework for Practical Identifiability Analysis in Mathematical Models Arising from Biology—0
Confident magnitude-based neural network pruning—0
A Taylor Series Approach to Correction of Input Errors in Gaussian Process Regression—0
Confident or Seek Stronger: Exploring Uncertainty-Based On-device LLM Routing From Benchmarking to Generalization—0
Advanced Stationary and Non-Stationary Kernel Designs for Domain-Aware Gaussian Processes—0
Conformal Calibration: Ensuring the Reliability of Black-Box AI in Wireless Systems—0
AUGMENTED POLICY GRADIENT METHODS FOR EFFICIENT REINFORCEMENT LEARNING—0
Conformal forecasting for surgical instrument trajectory—0
Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs—0
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