3 papers
math.NA2026
Random test functions, norm equivalence, and stochastic variational physics-informed neural networks
Diego Marcondes
The dual norm characterisation of weak solutions of second-order linear elliptic partial differential equations is mathematically natural but computationally intractable: evaluatin…
cs.LG2023
The Lattice Overparametrization Paradigm for the Machine Learning of Lattice Operators
Diego Marcondes, Junior Barrera
The machine learning of lattice operators has three possible bottlenecks. From a statistical standpoint, it is necessary to design a constrained class of operators based on prior i…
cs.CV2023
An Algorithm to Train Unrestricted Sequential Discrete Morphological Neural Networks
Diego Marcondes, Mariana Feldman, Junior Barrera
There have been attempts to insert mathematical morphology (MM) operators into convolutional neural networks (CNN), and the most successful endeavor to date has been the morphologi…