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Uncertainty Quantification

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Showing 551–600 of 2366 papers

TitleStatusHype
Flat Posterior Does Matter For Bayesian Model AveragingCode0
Fixing Overconfidence in Dynamic Neural NetworksCode0
Flexible Amortized Variational Inference in qBOLD MRICode0
FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration DetectionCode0
Flexible Heteroscedastic Count Regression with Deep Double Poisson NetworksCode0
A Forward and Backward Compatible Framework for Few-shot Class-incremental Pill RecognitionCode0
An Analytic Solution to Covariance Propagation in Neural NetworksCode0
Forecasting Local Ionospheric Parameters Using TransformersCode0
Bayesian Emulation for Computer Models with Multiple Partial DiscontinuitiesCode0
Fast fitting of neural ordinary differential equations by Bayesian neural gradient matching to infer ecological interactions from time series dataCode0
Fast and Accurate Emulation of the SDO/HMI Stokes Inversion with Uncertainty QuantificationCode0
Adaptive Shrinkage Estimation For Personalized Deep Kernel Regression In Modeling Brain TrajectoriesCode0
Uncertainty Quantification for Fairness in Two-Stage Recommender SystemsCode0
Extracting Usable Predictions from Quantized Networks through Uncertainty Quantification for OOD DetectionCode0
Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic BeliefsCode0
Extrapolation-Aware Nonparametric Statistical InferenceCode0
Expectation consistency for calibration of neural networksCode0
Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free PredictionCode0
FaIRGP: A Bayesian Energy Balance Model for Surface Temperatures EmulationCode0
Fast Instrument Learning with Faster RatesCode0
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm EventsCode0
E-Values Expand the Scope of Conformal PredictionCode0
Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural NetworksCode0
Estimation and Applications of Quantiles in Deep Binary ClassificationCode0
Bayesian Coreset Construction via Greedy Iterative Geodesic AscentCode0
Estimating prevalence with precision and accuracyCode0
Estimation of spatio-temporal extremes via generative neural networksCode0
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMsCode0
Cryo-forum: A framework for orientation recovery with uncertainty measure with the application in cryo-EM image analysisCode0
Bayesian Continual Learning via Spiking Neural NetworksCode0
An age-structured SEIR model for COVID--19 incidence in Dublin, Ireland with framework for evaluating health intervention costCode0
Bayesian Concept Bottleneck Models with LLM PriorsCode0
Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse ProblemsCode0
CUQ-GNN: Committee-based Graph Uncertainty Quantification using Posterior NetworksCode0
Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy SegmentationCode0
CVAE-SM: A Conditional Variational Autoencoder with Style Modulation for Efficient Uncertainty QuantificationCode0
Evaluating Bayesian Deep Learning Methods for Semantic SegmentationCode0
Evaluating Uncertainty in Deep Gaussian ProcessesCode0
Equivariant Neural Simulators for Stochastic Spatiotemporal DynamicsCode0
Bayesian computation with generative diffusion models by Multilevel Monte CarloCode0
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient KernelsCode0
Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreakCode0
Epistemic Uncertainty in Conformal Scores: A Unified ApproachCode0
EquiNO: A Physics-Informed Neural Operator for Multiscale SimulationsCode0
Counterfactual Plans under Distributional AmbiguityCode0
Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot SettingsCode0
A Multi-level procedure for enhancing accuracy of machine learning algorithmsCode0
Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagationCode0
Emulating compact binary population synthesis simulations with robust uncertainty quantification and model comparison: Bayesian normalizing flowsCode0
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKACode0
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