12 citations · 12 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 12 cited
PSO-PINN: Physics-Informed Neural Networks Trained with Particle Swarm Optimization
Caio Davi, Ulisses Braga-Neto
Physics-informed neural networks (PINN) have recently emerged as a promising application of deep learning in a wide range of engineering and scientific problems based on partial di…
cs.LG2020
A Semi-Supervised Generative Adversarial Network for Prediction of Genetic Disease Outcomes
Caio Davi, Ulisses Braga-Neto
For most diseases, building large databases of labeled genetic data is an expensive and time-demanding task. To address this, we introduce genetic Generative Adversarial Networks (…