3 papers
cs.CL2026
Uncertainty Estimation for the Open-Set Text Classification systems
Leonid Erlygin, Alexey Zaytsev
Accurate uncertainty estimation is essential for building robust and trustworthy recognition systems. In this paper, we consider the open-set text classification (OSTC) task - and…
cs.CV2025
Holistic Uncertainty Estimation For Open-Set Recognition
Leonid Erlygin, Alexey Zaytsev
Accurate uncertainty estimation is a critical challenge in open-set recognition, where a probe biometric sample may belong to an unknown identity. It can be addressed through sampl…
cs.LG2024
Surrogate uncertainty estimation for your time series forecasting black-box: learn when to trust
Leonid Erlygin, Vladimir Zholobov, Valeriia Baklanova +2
Machine learning models play a vital role in time series forecasting. These models, however, often overlook an important element: point uncertainty estimates. Incorporating these e…