34 citations · 55 across the 12 of their papers we have counts for
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cs.LG2022★ 1 cited
Adaptive Temperature Scaling for Robust Calibration of Deep Neural Networks
Sergio A. Balanya, Juan Maroñas, Daniel Ramos
In this paper, we study the post-hoc calibration of modern neural networks, a problem that has drawn a lot of attention in recent years. Many calibration methods of varying complex…
cs.LG2022★ 2 cited
Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification
Juan Maroñas, Daniel Hernández-Lobato
This work introduces the Efficient Transformed Gaussian Process (ETGP), a new way of creating C stochastic processes characterized by: 1) the C processes are non-stationary, 2) the…