Model calibration is essential for ensuring that the predictions of deep neural networks accurately reflect true probabilities in real-world classification tasks. However, deep networks often produce ...

A multinominal logit model of household location choice is estimated, in which families choose from a number of mutually exclusive residential locations. Regression results indicate that the ...

🍑 APRICOT: Calibrating Large Language Models Using Their Generations Only This is the code repository for the paper Calibrating Large Language Models Using Their Generations Only by Dennis Ulmer, ...

Model-based calibration of a magnetic workspace not only provides a smooth representation of the field and its gradient matrix, but also uses physical constraints to smooth the calibration ...

AnyCalib: On-Manifold Learning for Model-Agnostic Single-View Camera Calibration (ICCV 2025) - javrtg/AnyCalib ...

Independent model training datasets and validation datasets are established at different time scales, including minute, 10-min, and hourly data. Nonlinear fitting is performed on the training datasets ...