SOTAVerified

Uncertainty Quantification

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 601–650 of 2366 papers

TitleStatusHype
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
Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System PerceptionCode0
Forecasting the future development in quality and value of professional football players for applications in team management—0
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
A Planning Framework for Adaptive Labeling—0
Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural NetworksCode0
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
Confident or Seek Stronger: Exploring Uncertainty-Based On-device LLM Routing From Benchmarking to Generalization—0
Calibrated Physics-Informed Uncertainty Quantification—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
Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis—0
Robust and Conjugate Spatio-Temporal Gaussian ProcessesCode0
Optimal Subspace Inference for the Laplace Approximation of Bayesian Neural NetworksCode0
Gaussian processes for dynamics learning in model predictive control—0
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents—0
Uncertainty Quantification for Collaborative Object Detection Under Adversarial Attacks—0
SiLVR: Scalable Lidar-Visual Radiance Field Reconstruction with Uncertainty Quantification—0
A generative foundation model for an all-in-one seismic processing framework—0
Deep Active Learning based Experimental Design to Uncover Synergistic Genetic Interactions for Host Targeted Therapeutics—0
Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework—0
Muti-Fidelity Prediction and Uncertainty Quantification with Laplace Neural Operators for Parametric Partial Differential Equations—0
Uncertainty Quantification of Wind Gust Predictions in the Northeast US: An Evidential Neural Network and Explainable Artificial Intelligence Approach—0
Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach—0
Trustworthy Evaluation of Generative AI Models—0
Position: Curvature Matrices Should Be Democratized via Linear Operators—0
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data AcquisitionCode0
Robust Online Conformal Prediction under Uniform Label Noise—0
Probabilistic Joint Recovery Method for CO_2 Plume Monitoring—0
PDE-DKL: PDE-constrained deep kernel learning in high dimensionalityCode0
BARNN: A Bayesian Autoregressive and Recurrent Neural Network—0
Uncertainty Quantification and Decomposition for LLM-based RecommendationCode0
Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios—0
Noise-Adaptive Conformal Classification with Marginal CoverageCode0
Evidential Physics-Informed Neural Networks—0
Approximate Message Passing for Bayesian Neural NetworksCode0
Visualizing Uncertainty in Translation Tasks: An Evaluation of LLM Performance and Confidence MetricsCode0
Making Reliable and Flexible Decisions in Long-tailed ClassificationCode0
Computational modelling of biological systems now and then: revisiting tools and visions from the beginning of the century—0
Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective—0
Show:102550
← PrevPage 13 of 48Next →

No leaderboard results yet.