Luca Guastoni

According to our database, Luca Guastoni authored at least 8 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

PICT-A differentiable, GPU-accelerated multi-block PISO solver for simulation-coupled learning tasks in fluid dynamics.

Aleksandra Franz, Hao Wei, Luca Guastoni, Nils Thuerey

J. Comput. Phys., 2026

2025

Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems.

Hans Harder, Abhijeet Vishwasrao, Luca Guastoni, Ricardo Vinuesa, Sebastian Peitz

CoRR, November, 2025

Guiding diffusion models to reconstruct flow fields from sparse data.

Marc Amorós-Trepat, Luis Medrano-Navarro, Qiang Liu, Luca Guastoni, Nils Thuerey

CoRR, October, 2025

Temporal Difference Learning: Why It Can Be Fast and How It Will Be Faster.

Patrick Schnell, Luca Guastoni, Nils Thuerey

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2023

Time, space and control: deep-learning applications to turbulent flows ; Tid, rum och kontroll: djupinlärningsapplikationer för turbulenta flöden.

Luca Guastoni

PhD thesis, 2023

2022

Predicting the temporal dynamics of turbulent channels through deep learning.

Giuseppe Borrelli, Luca Guastoni, Hamidreza Eivazi, Philipp Schlatter, Ricardo Vinuesa

CoRR, 2022

2020

Recurrent neural networks and Koopman-based frameworks for temporal predictions in turbulence.

Hamidreza Eivazi, Luca Guastoni, Philipp Schlatter, Hossein Azizpour, Ricardo Vinuesa

CoRR, 2020

On the use of recurrent neural networks for predictions of turbulent flows.

Luca Guastoni, Prem A. Srinivasan, Hossein Azizpour, Philipp Schlatter, Ricardo Vinuesa

CoRR, 2020