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…
cond-mat.mtrl-sci2024
Smart Data-Driven GRU Predictor for SnO Thin films Characteristics
Faiza Bouamra, Mohamed Sayah, Labib Sadek Terrissa +1
In material physics, characterization techniques are foremost crucial for obtaining the materials data regarding the physical properties as well as structural, electronics, magneti…