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Uncertainty Quantification

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Showing 1551–1600 of 2366 papers

TitleStatusHype
Exchangeable Sequence Models Quantify Uncertainty Over Latent Concepts—0
Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere—0
NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification—0
Uncertainty Quantification for Prior-Data Fitted Networks using Martingale Posteriors—0
STRIDE: Sparse Techniques for Regression in Deep Gaussian Processes—0
Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks—0
Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces—0
Flow Matching Meets PDEs: A Unified Framework for Physics-Constrained Generation—0
Structure and asymptotic preserving deep neural surrogates for uncertainty quantification in multiscale kinetic equations—0
3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex Geomodels—0
4DVarNet-SSH: end-to-end learning of variational interpolation schemes for nadir and wide-swath satellite altimetry—0
A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models—0
A Bayesian Perspective on Uncertainty Quantification for Estimated Graph Signals—0
Ablation Studies for Novel Treatment Effect Estimation Models—0
A Bulirsch-Stoer algorithm using Gaussian processes—0
Accelerating Ensemble Error Bar Prediction with Single Models Fits—0
Accelerating Markov Random Field Inference with Uncertainty Quantification—0
Acceleration of stochastic gradient descent with momentum by averaging: finite-sample rates and asymptotic normality—0
Accessible, At-Home Detection of Parkinson's Disease via Multi-task Video Analysis—0
Accounting for the Effects of Probabilistic Uncertainty During Fast Charging of Lithium-ion Batteries—0
Accurate and Reliable Forecasting using Stochastic Differential Equations—0
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks—0
Accurate Data-Driven Surrogates of Dynamical Systems for Forward Propagation of Uncertainty—0
Accurate Prediction and Uncertainty Estimation using Decoupled Prediction Interval Networks—0
Accurate Remaining Useful Life Prediction with Uncertainty Quantification: a Deep Learning and Nonstationary Gaussian Process Approach—0
Accurate transition state generation with an object-aware equivariant elementary reaction diffusion model—0
A Chaotic Dynamical System that Paints—0
Achieving an Accurate Random Process Model for PV Power using Cheap Data: Leveraging the SDE and Public Weather Reports—0
A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning—0
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications—0
A Complete Characterisation of ReLU-Invariant Distributions—0
Uncertainty-aware multi-fidelity surrogate modeling with noisy data—0
A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies—0
A Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives—0
A computational spectral approach to interest rate models—0
A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation—0
A Critical Analysis of Internal Reliability for Uncertainty Quantification of Dense Image Matching in Multi-view Stereo—0
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation—0
Active Inference or Control as Inference? A Unifying View—0
Active Learning with Multifidelity Modeling for Efficient Rare Event Simulation—0
Active operator learning with predictive uncertainty quantification for partial differential equations—0
Active search for Bifurcations—0
ActPerFL: Active Personalized Federated Learning—0
Adaptability of Computer Vision at the Tactical Edge: Addressing Environmental Uncertainty—0
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models—0
Adaptive Conformal Inference by Particle Filtering under Hidden Markov Models—0
Adaptive Elicitation of Latent Information Using Natural Language—0
Adaptive Modeling of Uncertainties for Traffic Forecasting—0
Adaptive modelling of anti-tau treatments for neurodegenerative disorders based on the Bayesian approach with physics-informed neural networks—0
Adaptive Probabilistic Forecasting of Electricity (Net-)Load—0
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