Coby Penso

CoRR, January, 2025

Privacy-Preserving Conformal Prediction Under Local Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth Symposium on Conformal and Probabilistic Prediction with Applications, 2025

Conformal Prediction of Classifiers with Many Classes based on Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth Symposium on Conformal and Probabilistic Prediction with Applications, 2025

2024

Evaluation Metrics for Generative Models: An Empirical Study.

[BibT_eX]

[DOI]

Eyal Betzalel

Mach. Learn. Knowl. Extr., September, 2024

Confidence Calibration of a Medical Imaging Classification System That is Robust to Label Noise.

[BibT_eX]

[DOI]

Lior Frenkel

IEEE Trans. Medical Imaging, June, 2024

A Conformal Prediction Score that is Robust to Label Noise.

[BibT_eX]

[DOI]

CoRR, 2024

Noise-Robust Conformal Prediction for Medical Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

A Joint Training and Confidence Calibration Procedure That is Robust to Label Noise.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Calibration of Network Confidence for Unsupervised Domain Adaptation Using Estimated Accuracy.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2022

A Study on the Evaluation of Generative Models.

[BibT_eX]

[DOI]

CoRR, 2022

Functional Ensemble Distillation.

[BibT_eX]

[DOI]

Idan Achituve