6 citations · 6 across the 2 of their papers we have counts for
2 papers
stat.ML2026
Dirichlet-Based Monte Carlo Dropout for Uncertainty Estimation in Neural Networks
Rouaa Hoblos, Noura Dridi, Noureddine Zerhouni +1
Traditional neural networks provide deterministic predictions without inherent uncertainty estimates. While Bayesian Neural Networks (BNNs) offer a principled approach to uncertain…
cs.LG2021★ 6 cited
Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme
Noura Dridi, Lucas Drumetz, Ronan Fablet
Stochastic differential equations (SDEs) are one of the most important representations of dynamical systems. They are notable for the ability to include a deterministic component o…