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Uncertainty Quantification

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Showing 751–800 of 2366 papers

TitleStatusHype
Scalable Training of Trustworthy and Energy-Efficient Predictive Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN—0
Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions—0
Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis—0
Beyond the Norms: Detecting Prediction Errors in Regression Models—0
Neural Visibility Field for Uncertainty-Driven Active Mapping—0
A local squared Wasserstein-2 method for efficient reconstruction of models with uncertainty—0
Conformal Prediction for Class-wise Coverage via Augmented Label Rank CalibrationCode0
Distribution-Free Predictive Inference under Unknown Temporal DriftCode0
On Subjective Uncertainty Quantification and Calibration in Natural Language GenerationCode0
Winner-takes-all learners are geometry-aware conditional density estimatorsCode0
Linearization Turns Neural Operators into Function-Valued Gaussian Processes—0
Stochastic full waveform inversion with deep generative prior for uncertainty quantification—0
Linear Opinion Pooling for Uncertainty Quantification on GraphsCode0
Exponentially Stable Projector-based Control of Lagrangian Systems with Gaussian Processes—0
Relaxed Quantile Regression: Prediction Intervals for Asymmetric NoiseCode0
Cycles of Thought: Measuring LLM Confidence through Stable Explanations—0
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMsCode0
Learning Cellular Network Connection Quality with Conformal—0
Integrating Physics of the Problem into Data-Driven Methods to Enhance Elastic Full-Waveform Inversion with Uncertainty QuantificationCode0
Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPsCode0
Label-wise Aleatoric and Epistemic Uncertainty QuantificationCode0
Certifiably Byzantine-Robust Federated Conformal PredictionCode0
The Deep Latent Space Particle Filter for Real-Time Data Assimilation with Uncertainty QuantificationCode0
A Bayesian Approach to Online PlanningCode1
To Believe or Not to Believe Your LLM—0
Robust Classification by Coupling Data Mollification with Label SmoothingCode0
Reservoir History Matching of the Norne field with generative exotic priors and a coupled Mixture of Experts -- Physics Informed Neural Operator Forward ModelCode3
Bayesian Joint Additive Factor Models for Multiview LearningCode0
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning—0
Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning ApproachCode0
VENI, VINDy, VICI: a variational reduced-order modeling framework with uncertainty quantificationCode1
Uncertainty Quantification for Deep Learning—0
Uncertainty Quantification for Bird's Eye View Semantic Segmentation: Methods and Benchmarks—0
Bayesian Uncertainty Quantification for Anaerobic Digestion models—0
A Staged Approach using Machine Learning and Uncertainty Quantification to Predict the Risk of Hip Fracture—0
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic SimilaritiesCode1
Conformal Depression PredictionCode0
Valid Conformal Prediction for Dynamic GNNsCode0
Verifiably Robust Conformal PredictionCode0
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal PredictionCode0
BO4IO: A Bayesian optimization approach to inverse optimization with uncertainty quantificationCode0
SEMF: Supervised Expectation-Maximization Framework for Predicting IntervalsCode0
Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba—0
Kernel-based Optimally Weighted Conformal Prediction Intervals—0
A Comparative Study on Multi-task Uncertainty Quantification in Semantic Segmentation and Monocular Depth Estimation—0
Conformal Prediction for Ensembles: Improving Efficiency via Score-Based AggregationCode0
Uncertainty Quantification for Neurosymbolic Programs via Compositional Conformal Prediction—0
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees—0
ProDAG: Projected Variational Inference for Directed Acyclic GraphsCode0
Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification—0
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