Mario De Florio

Orcid: 0000-0003-2285-3074

According to our database1, Mario De Florio authored at least 8 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Physics-Informed Neural Networks for 2nd order ODEs with sharp gradients.
J. Comput. Appl. Math., January, 2024

AI-Aristotle: A physics-informed framework for systems biology gray-box identification.
PLoS Comput. Biol., 2024

Quantification of total uncertainty in the physics-informed reconstruction of CVSim-6 physiology.
CoRR, 2024

Analysis of biologically plausible neuron models for regression with spiking neural networks.
CoRR, 2024

2023
AI-Lorenz: A physics-data-driven framework for black-box and gray-box identification of chaotic systems with symbolic regression.
CoRR, 2023

2022
Physics-Informed Neural Networks and Functional Interpolation for Initial Value Problems with Applications to Integro-Differential and Stiff Differential Equations.
PhD thesis, 2022

2021
Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations.
Neurocomputing, 2021

2020
Extreme Theory of Functional Connections: A Physics-Informed Neural Network Method for Solving Parametric Differential Equations.
CoRR, 2020


  Loading...