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Uncertainty Quantification

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Showing 401–450 of 2366 papers

TitleStatusHype
A probabilistic generative model for semi-supervised training of coarse-grained surrogates and enforcing physical constraints through virtual observablesCode0
MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object DetectionCode0
Fast fitting of neural ordinary differential equations by Bayesian neural gradient matching to infer ecological interactions from time series dataCode0
Building Conformal Prediction Intervals with Approximate Message PassingCode0
Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System PerceptionCode0
Uncertainty Quantification for Fairness in Two-Stage Recommender SystemsCode0
Fast and Accurate Emulation of the SDO/HMI Stokes Inversion with Uncertainty QuantificationCode0
A Comparative Study of Machine Learning Models for Predicting the State of Reactive MixingCode0
Extrapolation-Aware Nonparametric Statistical InferenceCode0
Better Batch for Deep Probabilistic Time Series ForecastingCode0
A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regimeCode0
Extracting Usable Predictions from Quantized Networks through Uncertainty Quantification for OOD DetectionCode0
FaIRGP: A Bayesian Energy Balance Model for Surface Temperatures EmulationCode0
Fast Instrument Learning with Faster RatesCode0
Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot SettingsCode0
High-Fidelity Transfer of Functional Priors for Wide Bayesian Neural Networks by Learning ActivationsCode0
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled ApproachCode0
Calibrating Neural Simulation-Based Inference with Differentiable Coverage ProbabilityCode0
Negative impact of heavy-tailed uncertainty and error distributions on the reliability of calibration statistics for machine learning regression tasksCode0
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ SegmentationCode0
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detectionCode0
Hyperparameter Ensembles for Robustness and Uncertainty QuantificationCode0
ACon^2: Adaptive Conformal Consensus for Provable Blockchain OraclesCode0
Can Diffusion Models Provide Rigorous Uncertainty Quantification for Bayesian Inverse Problems?Code0
Can Uncertainty Quantification Enable Better Learning-based Index Tuning?Code0
Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic BeliefsCode0
Capturing Extreme Events in Turbulence using an Extreme Variational Autoencoder (xVAE)Code0
CAS4DL: Christoffel Adaptive Sampling for function approximation via Deep LearningCode0
Benchmarking Probabilistic Deep Learning Methods for License Plate RecognitionCode0
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?Code0
A parametric framework for kernel-based dynamic mode decomposition using deep learningCode0
Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in GraphsCode0
Expectation consistency for calibration of neural networksCode0
On Calibration of Mixup Training for Deep Neural NetworksCode0
Certifiably Byzantine-Robust Federated Conformal PredictionCode0
Improving Uncertainty Quantification of Variance Networks by Tree-Structured LearningCode0
Being a Bit Frequentist Improves Bayesian Neural NetworksCode0
CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data AssimilationCode0
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
CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic AgentsCode0
Informativeness of Weighted Conformal PredictionCode0
Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural NetworksCode0
Bayeslands: A Bayesian inference approach for parameter uncertainty quantification in BadlandsCode0
ClaudesLens: Uncertainty Quantification in Computer Vision ModelsCode0
Evaluating Uncertainty in Deep Gaussian ProcessesCode0
Bayesian uncertainty quantification for data-driven equation learningCode0
E-Values Expand the Scope of Conformal PredictionCode0
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm EventsCode0
Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy SegmentationCode0
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