1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models
Zhidi Lin, Juan Maroñas, Ying Li +2
The Gaussian process state-space model (GPSSM) has attracted extensive attention for modeling complex nonlinear dynamical systems. However, the existing GPSSM employs separate Gaus…
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…