Enrico Schiassi

12 papers Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Gated X-TFC: Soft domain decomposition for forward and inverse problems in sharp-gradient PDEs.
Neurocomputing
Vikas Dwivedi, Enrico Schiassi, Bruno Sixou, Monica Sigovan
2026 J jnl
Least squares with equality constraints extreme learning machines for the resolution of PDEs.
J. Comput. Phys.
Davide Elia De Falco, Enrico Schiassi, Francesco Calabrò
2026 J jnl
Use of ELMs in Physics-Informed Machine Learning: Estimates on the Generalization Error in Learning ODE Solutions.
J. Sci. Comput.
Enrico Schiassi, Francesco Calabrò, Mario De Florio, Davide Elia De Falco, Guang-Bin Huang
2025 J jnl
Gated X-TFC: Soft Domain Decomposition for Forward and Inverse Problems in Sharp-Gradient PDEs.
CoRR
Vikas Dwivedi, Enrico Schiassi, Monica Sigovan, Bruno Sixou
2025 J jnl
Least Squares with Equality constraints Extreme Learning Machines for the resolution of PDEs.
CoRR
Davide Elia De Falco, Enrico Schiassi, Francesco Calabrò
2024 J jnl
Bellman Neural Networks for the Class of Optimal Control Problems With Integral Quadratic Cost.
IEEE Trans. Artif. Intell.
Enrico Schiassi, Andrea D'Ambrosio, Roberto Furfaro
2024 J jnl
Physics-Informed Neural Networks for 2nd order ODEs with sharp gradients.
J. Comput. Appl. Math.
Mario De Florio, Enrico Schiassi, Francesco Calabrò, Roberto Furfaro
2022 — —
Extreme Theory of Functional Connections for Problems Involving Differential Equations with Applications to Optimal Control Problems.
Enrico Schiassi
2021 J jnl
Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations.
Neurocomputing
Enrico Schiassi, Roberto Furfaro, Carl Leake, Mario De Florio, Hunter Johnston, Daniele Mortari
2020 J jnl
Extreme Theory of Functional Connections: A Physics-Informed Neural Network Method for Solving Parametric Differential Equations.
CoRR
Enrico Schiassi, Carl Leake, Mario De Florio, Hunter Johnston, Roberto Furfaro, Daniele Mortari
2020 J jnl
Fuel-Efficient Powered Descent Guidance on Large Planetary Bodies via Theory of Functional Connections.
CoRR
Hunter Johnston, Enrico Schiassi, Roberto Furfaro, Daniele Mortari
2019 J jnl
Theoretical Evaluation of Anisotropic Reflectance Correction Approaches for Addressing Multi-Scale Topographic Effects on the Radiation-Transfer Cascade in Mountain Environments.
Remote. Sens.
Michael P. Bishop, Brennan W. Young, Jeffrey D. Colby, Roberto Furfaro, Enrico Schiassi, Zhaohui Chi