Federico Cornalba

Fischer Group

5 Publications

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[5]
2023 | Epub ahead of print | Journal Article | IST-REx-ID: 14451 | OA
Cornalba, F., Disselkamp, C., Scassola, D., & Helf, C. (2023). Multi-objective reward generalization: improving performance of Deep Reinforcement Learning for applications in single-asset trading. Neural Computing and Applications. Springer Nature. https://doi.org/10.1007/s00521-023-09033-7
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 
[4]
2023 | Published | Journal Article | IST-REx-ID: 14554 | OA
Cornalba, F., & Shardlow, T. (2023). The regularised inertial Dean’ Kawasaki equation: Discontinuous Galerkin approximation and modelling for low-density regime. ESAIM: Mathematical Modelling and Numerical Analysis. EDP Sciences. https://doi.org/10.1051/m2an/2023077
[Published Version] View | Files available | DOI
 
[3]
2023 | Published | Journal Article | IST-REx-ID: 10551 | OA
Cornalba, F., & Fischer, J. L. (2023). The Dean-Kawasaki equation and the structure of density fluctuations in systems of diffusing particles. Archive for Rational Mechanics and Analysis. Springer Nature. https://doi.org/10.1007/s00205-023-01903-7
[Published Version] View | Files available | DOI | WoS | arXiv
 
[2]
2021 | Published | Journal Article | IST-REx-ID: 9240 | OA
Cornalba, F., Shardlow, T., & Zimmer, J. (2021). Well-posedness for a regularised inertial Dean–Kawasaki model for slender particles in several space dimensions. Journal of Differential Equations. Elsevier. https://doi.org/10.1016/j.jde.2021.02.048
[Published Version] View | Files available | DOI | WoS
 
[1]
2020 | Published | Journal Article | IST-REx-ID: 7637 | OA
Cornalba, F., Shardlow, T., & Zimmer, J. (2020). From weakly interacting particles to a regularised Dean-Kawasaki model. Nonlinearity. IOP Publishing. https://doi.org/10.1088/1361-6544/ab5174
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
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5 Publications

Mark all

[5]
2023 | Epub ahead of print | Journal Article | IST-REx-ID: 14451 | OA
Cornalba, F., Disselkamp, C., Scassola, D., & Helf, C. (2023). Multi-objective reward generalization: improving performance of Deep Reinforcement Learning for applications in single-asset trading. Neural Computing and Applications. Springer Nature. https://doi.org/10.1007/s00521-023-09033-7
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 
[4]
2023 | Published | Journal Article | IST-REx-ID: 14554 | OA
Cornalba, F., & Shardlow, T. (2023). The regularised inertial Dean’ Kawasaki equation: Discontinuous Galerkin approximation and modelling for low-density regime. ESAIM: Mathematical Modelling and Numerical Analysis. EDP Sciences. https://doi.org/10.1051/m2an/2023077
[Published Version] View | Files available | DOI
 
[3]
2023 | Published | Journal Article | IST-REx-ID: 10551 | OA
Cornalba, F., & Fischer, J. L. (2023). The Dean-Kawasaki equation and the structure of density fluctuations in systems of diffusing particles. Archive for Rational Mechanics and Analysis. Springer Nature. https://doi.org/10.1007/s00205-023-01903-7
[Published Version] View | Files available | DOI | WoS | arXiv
 
[2]
2021 | Published | Journal Article | IST-REx-ID: 9240 | OA
Cornalba, F., Shardlow, T., & Zimmer, J. (2021). Well-posedness for a regularised inertial Dean–Kawasaki model for slender particles in several space dimensions. Journal of Differential Equations. Elsevier. https://doi.org/10.1016/j.jde.2021.02.048
[Published Version] View | Files available | DOI | WoS
 
[1]
2020 | Published | Journal Article | IST-REx-ID: 7637 | OA
Cornalba, F., Shardlow, T., & Zimmer, J. (2020). From weakly interacting particles to a regularised Dean-Kawasaki model. Nonlinearity. IOP Publishing. https://doi.org/10.1088/1361-6544/ab5174
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
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