Milad Leyli-Abadi

24 papers A* 2B 5Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2025 B conf
A Conceptual Framework for AI-based Decision Systems in Critical Infrastructures.
SMC
Milad Leyli-Abadi, Ricardo J. Bessa, Jan Viebahn, Daniel Boos, Clark Borst, Alberto Castagna, Ricardo Chavarriaga, Mohamed Hassouna, Bruno Lemetayer, Giulia Leto, Antoine Marot, Maroua Meddeb, Manuel Meyer, Viola Schiaffonati, Manuel Schneider, Toni Waefler, Mouadh Yagoubi
2025 J jnl
A Conceptual Framework for AI-based Decision Systems in Critical Infrastructures.
CoRR
Milad Leyli-Abadi, Ricardo J. Bessa, Jan Viebahn, Daniel Boos, Clark Borst, Alberto Castagna, Ricardo Chavarriaga, Mohamed Hassouna, Bruno Lemetayer, Giulia Leto, Antoine Marot, Maroua Meddeb, Manuel Meyer, Viola Schiaffonati, Manuel Schneider, Toni Waefler
2025 J jnl
Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case.
CoRR
Milad Leyli-Abadi, Jérôme Picault, Antoine Marot, Jean-Patrick Brunet, Agathe Gilain, Amarsagar Reddy Ramapuram Matavalam, Shaban Ghias Satti, Qingbin Jiang, Yang Liu, Dean Justin Ninalga
2025 J jnl
NeurIPS 2024 ML4CFD Competition: Results and Retrospective Analysis.
CoRR
Mouadh Yagoubi, David Danan, Milad Leyli-Abadi, Jocelyn Ahmed Mazari, Jean-Patrick Brunet, Abbas Kabalan, Fabien Casenave, Yuxin Ma, Giovanni Catalani, Jean Fesquet, Jacob Helwig, Xuan Zhang, Haiyang Yu, Xavier Bertrand, Frederic Tost, Michael Bauerheim, Joseph Morlier, Shuiwang Ji
2025 J jnl
Statistical and Predictive Analysis to Identify Risk Factors and Effects of Post COVID-19 Syndrome.
CoRR
Milad Leyli-Abadi, Jean-Patrick Brunet, Axel Tahmasebimoradi
2025 J jnl
Study Design and Demystification of Physics Informed Neural Networks for Power Flow Simulation.
CoRR
Milad Leyli-Abadi, Antoine Marot, Jérôme Picault
2024 B conf
Evaluation methodology for disentangled uncertainty quantification on regression models.
ESANN
Kevin Pasini, Clément Arlotti, Milad Leyli-Abadi, Marc Nabhan, Johanna Baro
2024 J jnl
ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design).
CoRR
Mouadh Yagoubi, Milad Leyli-Abadi, David Danan, Jean-Patrick Brunet, Jocelyn Ahmed Mazari, Florent Bonnet, Asma Farjallah, Marc Schoenauer, Patrick Gallinari
2024 J jnl
NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design.
CoRR
Mouadh Yagoubi, David Danan, Milad Leyli-Abadi, Jean-Patrick Brunet, Jocelyn Ahmed Mazari, Florent Bonnet, Maroua Gmati, Asma Farjallah, Paola Cinnella, Patrick Gallinari, Marc Schoenauer
2024 A* conf
Optimal transport based adversarial patch to leverage large scale attack transferability.
ICLR
Pol Labarbarie, Adrien Chan-Hon-Tong, Stéphane Herbin, Milad Leyli-Abadi
2022 — conf
Benchmarking and deeper analysis of adversarial patch attack on object detectors.
AISafety@IJCAI
Pol Labarbarie, Adrien Chan-Hon-Tong, Stéphane Herbin, Milad Leyli-Abadi
2022 J jnl
Carpet-bombing patch: attacking a deep network without usual requirements.
CoRR
Pol Labarbarie, Adrien Chan-Hon-Tong, Stéphane Herbin, Milad Leyli-Abadi
2022 A* conf
LIPS - Learning Industrial Physical Simulation benchmark suite.
NeurIPS
Milad Leyli-Abadi, Antoine Marot, Jérôme Picault, David Danan, Mouadh Yagoubi, Benjamin Donnot, Seif Attoui, Pavel Dimitrov, Asma Farjallah, Clement Etienam
2021 B conf
Deep Neural Networks for Classification of Riding Patterns: with a focus on explainability.
ESANN
Milad Leyli-Abadi, Abderrahmane Boubezoul
2021 J jnl
Online common change-point detection in a set of nonstationary categorical time series.
Neurocomputing
Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Véronique Heim
2020 — conf
Non-Supervised Trajectory Segmentation and Cross Analysis of Riders' Dynamic Behavior in a Simulated Riding Platform.
ISC2
Milad Leyli-Abadi, Abderrahmane Boubezoul, Stéphane Espié
2020 — conf
Riding Pattern Recognition for Powered Two-Wheelers Using a Long Short-Term Memory Network.
ITSC
Milad Leyli-Abadi, Abderrahmane Boubezoul, Latifa Oukhellou
2020 — conf
Road Patterns Identification and Risk Analysis Based on Machine Learning Framework: Powered Two-Wheelers Case.
IDEAL (2)
Milad Leyli-Abadi, Abderrahmane Boubezoul, Stéphane Espié
2019 — conf
Change Point Detection in Periodic Panel Data Using a Mixture-Model-Based Approach.
PAKDD (Workshops)
Allou Samé, Milad Leyli-Abadi
2019 J jnl
Mixture of Joint Nonhomogeneous Markov Chains to Cluster and Model Water Consumption Behavior Sequences.
ACM Trans. Intell. Syst. Technol.
Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Olivier Chesneau
2019 — —
Modélisation dynamique, classification et détection de changement dans les panels catégoriels issus d'un réseau d'eau intelligent. (Dynamic modelling, clustering and change detection in categorical panel data issued from smart water grids).
Milad Leyli-Abadi
2018 B conf
Mixture of Non-homogeneous Hidden Markov Models for Clustering and Prediction of Water Consumption Time Series.
IJCNN
Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Olivier Chesneau
2017 — conf
Denoising Autoencoder as an Effective Dimensionality Reduction and Clustering of Text Data.
PAKDD (2)
Milad Leyli-Abadi, Lazhar Labiod, Mohamed Nadif
2017 B conf
Predictive Classification of Water Consumption Time Series Using Non-homogeneous Markov Models.
DSAA
Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Olivier Chesneau