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Uncertainty Quantification

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Showing 2151–2200 of 2366 papers

TitleStatusHype
CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic AgentsCode0
Validation of uncertainty quantification metrics: a primer based on the consistency and adaptivity conceptsCode0
CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data AssimilationCode0
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformersCode0
Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of MultipliersCode0
Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable ModelsCode0
Probabilistic Exponential IntegratorsCode0
CESAR: A Convolutional Echo State AutoencodeR for High-Resolution Wind ForecastingCode0
Distil the informative essence of loop detector data set: Is network-level traffic forecasting hungry for more data?Code0
Valid Conformal Prediction for Dynamic GNNsCode0
Active Learning for Deep Gaussian Process SurrogatesCode0
Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte CarloCode0
Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence FunctionsCode0
A Study on the Calibration of In-context LearningCode0
Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language ModelsCode0
Learning Enhanced Structural Representations with Block-Based Uncertainties for Ocean Floor MappingCode0
Southern Ocean Dynamics Under Climate Change: New Knowledge Through Physics-Guided Machine LearningCode0
Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep LearningCode0
Sparse Activations as Conformal PredictorsCode0
Sparse Bayesian Deep Learning for Dynamic System IdentificationCode0
Probabilistic neural operators for functional uncertainty quantificationCode0
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on RegressionCode0
Sparse Bayesian Generative Modeling for Compressive SensingCode0
Dirichlet-based Gaussian Processes for Large-scale Calibrated ClassificationCode0
Active Inference Meeting Energy-Efficient Control of Parallel and Identical MachinesCode0
Uncertainty Quantification in Retrieval Augmented Question AnsweringCode0
A Generic Framework for Conformal FairnessCode0
Trustworthy Classification through Rank-Based Conformal Prediction SetsCode0
Uncertainty Visualization via Low-Dimensional Posterior ProjectionsCode0
Learning thermodynamically constrained equations of state with uncertaintyCode0
Sparse online variational Bayesian regressionCode0
Leave-One-Out Stable Conformal PredictionCode0
Uncertainty Quantification in Stereo MatchingCode0
Length Optimization in Conformal PredictionCode0
ProDAG: Projected Variational Inference for Directed Acyclic GraphsCode0
A new method of modeling the multi-stage decision-making process of CRT using machine learning with uncertainty quantificationCode0
Proper Scoring Rules for Survival AnalysisCode0
ACon^2: Adaptive Conformal Consensus for Provable Blockchain OraclesCode0
Certifiably Byzantine-Robust Federated Conformal PredictionCode0
Leveraging viscous Hamilton-Jacobi PDEs for uncertainty quantification in scientific machine learningCode0
CAS4DL: Christoffel Adaptive Sampling for function approximation via Deep LearningCode0
L-HYDRA: Multi-Head Physics-Informed Neural NetworksCode0
Variational Inference on the Final-Layer Output of Neural NetworksCode0
Capturing Extreme Events in Turbulence using an Extreme Variational Autoencoder (xVAE)Code0
Bayesian Modeling of Zero-Shot Classifications for Urban Flood DetectionCode0
Uncertainty Quantification for Hyperspectral Image Denoising Frameworks based on Low-rank Matrix ApproximationCode0
Likelihood-based estimation and prediction for a measles outbreak in SamoaCode0
Likelihood-Free Inference with Generative Neural Networks via Scoring Rule MinimizationCode0
An Ensemble Framework for Probabilistic Short-Term Load Forecasting Based on BiTCN and Deep Attention NetworksCode0
Linear Opinion Pooling for Uncertainty Quantification on GraphsCode0
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