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Uncertainty Quantification

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Showing 401–425 of 2366 papers

TitleStatusHype
A probabilistic generative model for semi-supervised training of coarse-grained surrogates and enforcing physical constraints through virtual observablesCode0
A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regimeCode0
Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic BeliefsCode0
E-Values Expand the Scope of Conformal PredictionCode0
Adversarial Uncertainty Quantification in Physics-Informed Neural NetworksCode0
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ SegmentationCode0
Evaluating Uncertainty in Deep Gaussian ProcessesCode0
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm EventsCode0
Benchmarking Probabilistic Deep Learning Methods for License Plate RecognitionCode0
A parametric framework for kernel-based dynamic mode decomposition using deep learningCode0
Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in GraphsCode0
Towards Instance-Wise Calibration: Local Amortized Diagnostics and Reshaping of Conditional Densities (LADaR)Code0
Instant Uncertainty Calibration of NeRFs Using a Meta-CalibratorCode0
Estimation of spatio-temporal extremes via generative neural networksCode0
Evaluating Bayesian Deep Learning Methods for Semantic SegmentationCode0
Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural NetworksCode0
GNN's Uncertainty Quantification using Self-DistillationCode0
Calibrating Neural Simulation-Based Inference with Differentiable Coverage ProbabilityCode0
Being a Bit Frequentist Improves Bayesian Neural NetworksCode0
A deep-learning based Bayesian approach to seismic imaging and uncertainty quantificationCode0
An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age ModelingCode0
GAN-DUF: Hierarchical Deep Generative Models for Design Under Free-Form Geometric UncertaintyCode0
ACon^2: Adaptive Conformal Consensus for Provable Blockchain OraclesCode0
Can Diffusion Models Provide Rigorous Uncertainty Quantification for Bayesian Inverse Problems?Code0
Equivariant Neural Simulators for Stochastic Spatiotemporal DynamicsCode0
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