Milad Leyli-abadi — accepted AI-conference papers

2025

ML4CFD Competition: Results and Retrospective Analysis

Mouadh Yagoubi, David Danan, Milad Leyli-abadi, Jocelyn Ahmed Mazari, Jean-Patrick Brunet, Abbas Kabalan +12

NeurIPS 2025poster

The integration of machine learning (ML) into the physical sciences is reshaping computational paradigms, offering the potential to accelerate demanding simulations such as computational fluid dynamics (CFD). Yet, persistent challenges in accuracy, generalization, and physical consistency hinder the…

Cited by 0 Source ↗Scholar ↗

2024

Optimal transport based adversarial patch to leverage large scale attack transferability

Pol Labarbarie, Adrien CHAN-HON-TONG, Stéphane Herbin, Milad Leyli-abadi

ICLR 2024poster

Adversarial patch attacks, where a small patch is placed in the scene to fool neural networks, have been studied for numerous applications. Focusing on image classification, we consider the setting of a black-box transfer attack where an attacker does not know the target model. Instead of forcing co…

Cited by 2 Source ↗PDF ↗Scholar ↗

2022

LIPS - Learning Industrial Physical Simulation benchmark suite

Milad Leyli-abadi, Antoine Marot, Jérôme Picault, David Danan, Mouadh Yagoubi, Benjamin Donnot +4

NeurIPS 2022accept

Physical simulations are at the core of many critical industrial systems. However, today's physical simulators have some limitations such as computation time, dealing with missing or uncertain data, or even non-convergence for some feasible cases. Recently, the use of data-driven approaches to lea…

Cited by 13 Source ↗PDF ↗Scholar ↗