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Uncertainty Quantification

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Showing 301–350 of 2366 papers

TitleStatusHype
Sparse Activations as Conformal PredictorsCode0
Bayesian SegNet for Semantic Segmentation with Improved Interpretation of Microstructural Evolution During Irradiation of Materials—0
Daily Land Surface Temperature Reconstruction in Landsat Cross-Track Areas Using Deep Ensemble Learning With Uncertainty Quantification—0
Uncertainty and sensitivity analysis of hair growth duration in human scalp follicles under normal and alopecic conditions—0
Forecasting Local Ionospheric Parameters Using TransformersCode0
General Uncertainty Estimation with Delta Variances—0
Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language ModelsCode0
Experiment Design with Gaussian Process Regression with Applications to Chance-Constrained Control—0
Uncertainty quantification for Markov chains with application to temporal difference learning—0
Conformal Prediction as Bayesian Quadrature—0
A Bayesian Perspective on Uncertainty Quantification for Estimated Graph Signals—0
Enhanced uncertainty quantification variational autoencoders for the solution of Bayesian inverse problems—0
Probabilistic neural operators for functional uncertainty quantificationCode0
Model-free system identification of surface ships in waves via Hankel dynamic mode decomposition with control—0
Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRACode0
Neural Chaos: A Spectral Stochastic Neural Operator—0
Rashomon perspective for measuring uncertainty in the survival predictive maintenance models—0
Uncertainty-Aware Search and Value Models: Mitigating Search Scaling Flaws in LLMs—0
Collaborative Deterministic-Probabilistic Forecasting for Real-World Spatiotemporal Systems—0
Uncertainty-Aware Step-wise Verification with Generative Reward Models—0
SpeechT-RAG: Reliable Depression Detection in LLMs with Retrieval-Augmented Generation Using Speech Timing Information—0
Reduced Order Modeling with Shallow Recurrent Decoder NetworksCode1
Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreakCode0
AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series ForecastingCode1
Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games—0
Relational Conformal Prediction for Correlated Time Series—0
Inverse Design with Dynamic Mode DecompositionCode1
Image Super-Resolution with Guarantees via Conformalized Generative Models—0
A Deep Learning approach for parametrized and time dependent Partial Differential Equations using Dimensionality Reduction and Neural ODEs—0
On Training-Conditional Conformal Prediction and Binomial Proportion Confidence Intervals—0
Conditional Distribution Quantization in Machine Learning—0
Forecasting the future development in quality and value of professional football players for applications in team management—0
Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System PerceptionCode0
A Planning Framework for Adaptive Labeling—0
Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural NetworksCode0
A Framework for Supervised and Unsupervised Segmentation and Classification of Materials Microstructure Images—0
Epistemic Uncertainty in Conformal Scores: A Unified ApproachCode0
Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis—0
Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial AssociationCode0
Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language ModelsCode0
Uncertainty Quantification for LLMs through Minimum Bayes Risk: Bridging Confidence and Consistency—0
Capturing Extreme Events in Turbulence using an Extreme Variational Autoencoder (xVAE)Code0
Self-supervised Conformal Prediction for Uncertainty Quantification in Imaging Problems—0
Temporal Distribution Shift in Real-World Pharmaceutical Data: Implications for Uncertainty Quantification in QSAR ModelsCode1
Calibrated Physics-Informed Uncertainty Quantification—0
Confident or Seek Stronger: Exploring Uncertainty-Based On-device LLM Routing From Benchmarking to Generalization—0
AL-PINN: Active Learning-Driven Physics-Informed Neural Networks for Efficient Sample Selection in Solving Partial Differential Equations—0
Parametric Scaling Law of Tuning Bias in Conformal PredictionCode0
Algorithms with Calibrated Machine Learning Predictions—0
SiLVR: Scalable Lidar-Visual Radiance Field Reconstruction with Uncertainty Quantification—0
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