5 citations · 8 across the 8 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.LG2023
Achieving Constraints in Neural Networks: A Stochastic Augmented Lagrangian Approach
Diogo Lavado, Cláudia Soares, Alessandra Micheletti
Regularizing Deep Neural Networks (DNNs) is essential for improving generalizability and preventing overfitting. Fixed penalty methods, though common, lack adaptability and suffer…
cs.CV2023
Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D Point Clouds via Signature Shape Identification
Diogo Lavado, Cláudia Soares, Alessandra Micheletti +4
Research in 3D semantic segmentation has been increasing performance metrics, like the IoU, by scaling model complexity and computational resources, leaving behind researchers and…