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Showing 26–50 of 90 papers

TitleStatusHype
Language Generation with Strictly Proper Scoring RulesCode1
VAEneu: A New Avenue for VAE Application on Probabilistic Forecasting—0
On Training Survival Models with Scoring Rules—0
Ads in Conversations—0
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors—0
Uncertainty estimation of machine learning spatial precipitation predictions from satellite data—0
Familiarity-Based Open-Set Recognition Under Adversarial Attacks—0
Determining Winners in Elections with Absent Votes—0
Using AI Uncertainty Quantification to Improve Human Decision-Making—0
Probabilistic Self-supervised Learning via Scoring Rules Minimization—0
SupEuclid: Extremely Simple, High Quality OoD Detection with Supervised Contrastive Learning and Euclidean Distance—0
A Novel Multiagent Flexibility Aggregation Framework—0
U-Calibration: Forecasting for an Unknown Agent—0
Regions of Reliability in the Evaluation of Multivariate Probabilistic ForecastsCode0
ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic Segmentation—0
Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model—0
Uniform Pessimistic Risk and its Optimal Portfolio—0
Bayesian score calibration for approximate modelsCode0
Security-Preserving Federated Learning via Byzantine-Sensitive Triplet DistanceCode0
Beyond calibration: estimating the grouping loss of modern neural networksCode1
Generative machine learning methods for multivariate ensemble post-processingCode0
Model selection with Gini indices under auto-calibration—0
Likelihood-Free Inference with Generative Neural Networks via Scoring Rule MinimizationCode0
Probabilistic Symmetry for Multi-Agent DynamicsCode0
Object Detection as Probabilistic Set PredictionCode0
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