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Uncertainty Quantification

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Showing 1301–1350 of 2366 papers

TitleStatusHype
Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector—0
Intrinsic Gaussian Vector Fields on ManifoldsCode0
Function Space Bayesian Pseudocoreset for Bayesian Neural Networks—0
Bayesian Neural Controlled Differential Equations for Treatment Effect EstimationCode0
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes ProcessCode0
Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression—0
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks—0
Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process with Uncertainty Quantification—0
Distributed Uncertainty Quantification of Kernel Interpolation on Spheres—0
Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte CarloCode0
Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN samplerCode0
Learned, uncertainty-driven adaptive acquisition for photon-efficient scanning microscopy—0
Modeling groundwater levels in California's Central Valley by hierarchical Gaussian process and neural network regressionCode0
Southern Ocean Dynamics Under Climate Change: New Knowledge Through Physics-Guided Machine LearningCode0
Calibrating Neural Simulation-Based Inference with Differentiable Coverage ProbabilityCode0
Approaches for Uncertainty Quantification of AI-predicted Material Properties: A Comparison—0
PAC Prediction Sets Under Label ShiftCode0
Sequential Gibbs Posteriors with Applications to Principal Component Analysis—0
Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse ProblemsCode0
On the Temperature of Bayesian Graph Neural Networks for Conformal Prediction—0
Resampling Stochastic Gradient Descent Cheaply for Efficient Uncertainty Quantification—0
Online Algorithms with Uncertainty-Quantified Predictions—0
Accurate Data-Driven Surrogates of Dynamical Systems for Forward Propagation of Uncertainty—0
Pseudo-Bayesian Optimization—0
Statistical guarantees for stochastic Metropolis-HastingsCode0
Uncertainty Quantification using Generative Approach—0
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors—0
Trustworthy Machine Learning—0
Representing and extending ensembles of parsimonious evolutionary histories with a directed acyclic graphCode0
Hoeffding decomposition of black-box models with dependent inputs—0
Stochastic Super-resolution of Cosmological Simulations with Denoising Diffusion Models—0
Deep Learning: A Tutorial—0
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods—0
Sharing Information Between Machine Tools to Improve Surface Finish Forecasting—0
Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing modelCode0
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient KernelsCode0
Quantifying Uncertainty in Deep Learning Classification with Noise in Discrete Inputs for Risk-Based Decision Making—0
Improved Active Learning via Dependent Leverage Score Sampling—0
HyperSINDy: Deep Generative Modeling of Nonlinear Stochastic Governing Equations—0
Uncertainty quantification for deep learning-based schemes for solving high-dimensional backward stochastic differential equations—0
Sparse Deep Learning for Time Series Data: Theory and Applications—0
Assessment of Prediction Intervals Using Uncertainty Characteristics Curves—0
ELUQuant: Event-Level Uncertainty Quantification in Deep Inelastic Scattering—0
Uncertainty Quantification in Inverse Models in Hydrology—0
Subsurface Characterization using Ensemble-based Approaches with Deep Generative ModelsCode0
Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior—0
LoRA ensembles for large language model fine-tuning—0
On the Disconnect Between Theory and Practice of Neural Networks: Limits of the NTK Perspective—0
Uncertainty Quantification for Eosinophil Segmentation—0
Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy MaximizationCode0
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