Federico Cornalba
Fischer Group
5 Publications
2023 | Journal Article | IST-REx-ID: 14451 | 
Cornalba, Federico, et al. “Multi-Objective Reward Generalization: Improving Performance of Deep Reinforcement Learning for Applications in Single-Asset Trading.” Neural Computing and Applications, Springer Nature, 2023, doi:10.1007/s00521-023-09033-7.
[Published Version]
View
| DOI
| Download Published Version (ext.)
| arXiv
2023 | Journal Article | IST-REx-ID: 14554 |
Cornalba, Federico, and Tony Shardlow. “The Regularised Inertial Dean’ Kawasaki Equation: Discontinuous Galerkin Approximation and Modelling for Low-Density Regime.” ESAIM: Mathematical Modelling and Numerical Analysis, vol. 57, no. 5, EDP Sciences, 2023, pp. 3061–90, doi:10.1051/m2an/2023077.
[Published Version]
View
| Files available
| DOI
2023 | Journal Article | IST-REx-ID: 10551 |
Cornalba, Federico, and Julian L. Fischer. “The Dean-Kawasaki Equation and the Structure of Density Fluctuations in Systems of Diffusing Particles.” Archive for Rational Mechanics and Analysis, vol. 247, no. 5, 76, Springer Nature, 2023, doi:10.1007/s00205-023-01903-7.
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv
2021 | Journal Article | IST-REx-ID: 9240 |
Cornalba, Federico, et al. “Well-Posedness for a Regularised Inertial Dean–Kawasaki Model for Slender Particles in Several Space Dimensions.” Journal of Differential Equations, vol. 284, no. 5, Elsevier, 2021, pp. 253–83, doi:10.1016/j.jde.2021.02.048.
[Published Version]
View
| Files available
| DOI
| WoS
2020 | Journal Article | IST-REx-ID: 7637 |
Cornalba, Federico, et al. “From Weakly Interacting Particles to a Regularised Dean-Kawasaki Model.” Nonlinearity, vol. 33, no. 2, IOP Publishing, 2020, pp. 864–91, doi:10.1088/1361-6544/ab5174.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
5 Publications
2023 | Journal Article | IST-REx-ID: 14451 |
Cornalba, Federico, et al. “Multi-Objective Reward Generalization: Improving Performance of Deep Reinforcement Learning for Applications in Single-Asset Trading.” Neural Computing and Applications, Springer Nature, 2023, doi:10.1007/s00521-023-09033-7.
[Published Version]
View
| DOI
| Download Published Version (ext.)
| arXiv
2023 | Journal Article | IST-REx-ID: 14554 |
Cornalba, Federico, and Tony Shardlow. “The Regularised Inertial Dean’ Kawasaki Equation: Discontinuous Galerkin Approximation and Modelling for Low-Density Regime.” ESAIM: Mathematical Modelling and Numerical Analysis, vol. 57, no. 5, EDP Sciences, 2023, pp. 3061–90, doi:10.1051/m2an/2023077.
[Published Version]
View
| Files available
| DOI
2023 | Journal Article | IST-REx-ID: 10551 |
Cornalba, Federico, and Julian L. Fischer. “The Dean-Kawasaki Equation and the Structure of Density Fluctuations in Systems of Diffusing Particles.” Archive for Rational Mechanics and Analysis, vol. 247, no. 5, 76, Springer Nature, 2023, doi:10.1007/s00205-023-01903-7.
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv
2021 | Journal Article | IST-REx-ID: 9240 |
Cornalba, Federico, et al. “Well-Posedness for a Regularised Inertial Dean–Kawasaki Model for Slender Particles in Several Space Dimensions.” Journal of Differential Equations, vol. 284, no. 5, Elsevier, 2021, pp. 253–83, doi:10.1016/j.jde.2021.02.048.
[Published Version]
View
| Files available
| DOI
| WoS
2020 | Journal Article | IST-REx-ID: 7637 |
Cornalba, Federico, et al. “From Weakly Interacting Particles to a Regularised Dean-Kawasaki Model.” Nonlinearity, vol. 33, no. 2, IOP Publishing, 2020, pp. 864–91, doi:10.1088/1361-6544/ab5174.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| WoS
| arXiv