SOTAVerified

Uncertainty Quantification

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 2366 papers

TitleStatusHype
On the Need to Align Intent and Implementation in Uncertainty Quantification for Machine Learning—0
Discovery of Probabilistic Dirichlet-to-Neumann Maps on Graphs—0
Uncertainty-Aware Metabolic Stability Prediction with Dual-View Contrastive Learning—0
UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs—0
Understanding while Exploring: Semantics-driven Active Mapping—0
Why Machine Learning Models Fail to Fully Capture Epistemic Uncertainty—0
JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows—0
Unsupervised Word-level Quality Estimation for Machine Translation Through the Lens of Annotators (Dis)agreementCode0
GUST: Quantifying Free-Form Geometric Uncertainty of Metamaterials Using Small Data—0
Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents—0
Judging LLMs on a Simplex—0
Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification—0
Mitigating Audiovisual Mismatch in Visual-Guide Audio Captioning—0
Semi-Supervised Conformal Prediction With Unlabeled Nonconformity Score—0
STACI: Spatio-Temporal Aleatoric Conformal Inference—0
Humble AI in the real-world: the case of algorithmic hiring—0
PrivATE: Differentially Private Confidence Intervals for Average Treatment Effects—0
Variational Deep Learning via Implicit Regularization—0
WQLCP: Weighted Adaptive Conformal Prediction for Robust Uncertainty Quantification Under Distribution Shifts—0
Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models—0
Self-reflective Uncertainties: Do LLMs Know Their Internal Answer Distribution?—0
Uncertainty-Aware Attention Heads: Efficient Unsupervised Uncertainty Quantification for LLMs—0
Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks—0
Equivariant Representation Learning for Symmetry-Aware Inference with Guarantees—0
Optimal Conformal Prediction under Epistemic UncertaintyCode0
Do Large Language Models (Really) Need Statistical Foundations?—0
Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference—0
UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models—0
Scalable Gaussian Processes with Low-Rank Deep Kernel Decomposition—0
Asymmetric Duos: Sidekicks Improve Uncertainty—0
Data-driven multi-agent modelling of calcium interactions in cell culture: PINN vs Regularized Least-squares—0
Bayesian Deep Learning for Discrete Choice—0
Model-based Estimation of Difference-in-Differences with Staggered Treatments—0
Tube Loss based Deep Networks For Improving the Probabilistic Forecasting of Wind Speed—0
A Generic Framework for Conformal FairnessCode0
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings—0
Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools—0
Efficient Prototype Consistency Learning in Medical Image Segmentation via Joint Uncertainty and Data Augmentation—0
Integral Imprecise Probability Metrics—0
Large-Scale Bayesian Tensor Reconstruction: An Approximate Message Passing Solution—0
Exponential Convergence of CAVI for Bayesian PCA—0
Last Layer Empirical Bayes—0
Gaussian Processes in Power Systems: Techniques, Applications, and Future Works—0
Enhancing Monte Carlo Dropout Performance for Uncertainty Quantification—0
Uncertainty Quantification in SVM predictionCode0
SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival AnalysisCode0
CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition—0
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles—0
Neurosymbolic Diffusion ModelsCode2
Spline Dimensional Decomposition with Interpolation-based Optimal Knot Selection for Stochastic Dynamic Analysis—0
Show:102550
← PrevPage 2 of 48Next →

No leaderboard results yet.