Neuralpde: Automating physics-informed neural networks (pinns) with error approximations K Zubov, Z McCarthy, Y Ma, F Calisto, V Pagliarino, S Azeglio, L Bottero, ... arXiv preprint arXiv:2107.09443, 2021 | 77 | 2021 |
NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations (2021) K Zubov, Z McCarthy, Y Ma, F Calisto, V Pagliarino, S Azeglio, L Bottero, ... arXiv preprint arXiv:2107.09443, 0 | 5 | |
Physics-informed machine learning simulator for wildfire propagation L Bottero, F Calisto, G Graziano, V Pagliarino, M Scauda, S Tiengo, ... arXiv preprint arXiv:2012.06825, 2020 | 4 | 2020 |
Unsupervised learning of geometrical features from images by explicit group actions enforcement F Calisto, L Bottero, V Pagliarino NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022 | | 2022 |
PROMETHEUS SiPM-based detector FB Valerio Pagliarino, Francesco Serra, Aurora Robino, Federico Filippa ... TIFPA Activity Report 2018 1 (1), 127-128, 2018 | | 2018 |
LaserWAN: una tecnologia laser a basso costo per portare alta banda di rete in luoghi remoti o poco connessi V Pagliarino GARR 2016 1 (1), 95-100, 2017 | | 2017 |
Data transport network and corresponding data communication process implemented by said network. V Pagliarino IT Patent 102,016,000,033,655, 2017 | | 2017 |