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Uncertainty Quantification

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Showing 1251–1300 of 2366 papers

TitleStatusHype
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review—0
FaIRGP: A Bayesian Energy Balance Model for Surface Temperatures EmulationCode0
Risk Controlled Image RetrievalCode0
A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models—0
Function-Space Regularization for Deep Bayesian Classification—0
Predicting small molecules solubilities on endpoint devices using deep ensemble neural networksCode1
Uncertainty Quantification of the Virial Black Hole Mass with Conformal PredictionCode0
Functional PCA and Deep Neural Networks-based Bayesian Inverse Uncertainty Quantification with Transient Experimental Data—0
Seismic Data Interpolation via Denoising Diffusion Implicit Models with Coherence-corrected Resampling—0
Conditional Korhunen-Loéve regression model with Basis Adaptation for high-dimensional problems: uncertainty quantification and inverse modeling—0
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformersCode0
Transgressing the boundaries: towards a rigorous understanding of deep learning and its (non-)robustness—0
Direct segmentation of brain white matter tracts in diffusion MRI—0
Last layer state space model for representation learning and uncertainty quantification—0
Implementing measurement error models with mechanistic mathematical models in a likelihood-based framework for estimation, identifiability analysis, and prediction in the life sciencesCode0
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language ModelsCode1
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and CalibrationCode1
Morse Neural Networks for Uncertainty Quantification—0
Hybrid uncertainty quantification for selective text classification in ambiguous tasks—0
Model-Bellman Inconsistency for Model-based Offline Reinforcement LearningCode1
Applied Bayesian Structural Health Monitoring: inclinometer data anomaly detection and forecasting—0
Learning thermodynamically constrained equations of state with uncertaintyCode0
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation—0
Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural NetworksCode0
Spatiotemporal Besov Priors for Bayesian Inverse Problems—0
Evaluation of machine learning architectures on the quantification of epistemic and aleatoric uncertainties in complex dynamical systems—0
IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human SupervisorsCode0
Enhanced multi-fidelity modelling for digital twin and uncertainty quantification—0
SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models—0
CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic AgentsCode0
Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand PredictionCode1
MUBen: Benchmarking the Uncertainty of Molecular Representation ModelsCode0
Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings—0
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems—0
A Brief Review of Hypernetworks in Deep LearningCode0
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic SmoothingCode0
Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural NetworksCode0
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift—0
Real-time whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations—0
Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling—0
Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models—0
Global universal approximation of functional input maps on weighted spacesCode0
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications—0
Conformal Prediction with Missing ValuesCode1
Distributionally robust uncertainty quantification via data-driven stochastic optimal control—0
Linked Deep Gaussian Process Emulation for Model NetworksCode1
A General Framework for Uncertainty Quantification via Neural SDE-RNN—0
A New PHO-rmula for Improved Performance of Semi-Structured Networks—0
Quantifying Deep Learning Model Uncertainty in Conformal Prediction—0
Deep Operator Learning-based Surrogate Models with Uncertainty Quantification for Optimizing Internal Cooling Channel Rib Profiles—0
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