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Milad Leyli-Abadi
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2020 – today
- 2024
- [c12]Kevin Pasini, Clément Arlotti, Milad Leyli-Abadi, Marc Nabhan, Johanna Baro:
Evaluation methodology for disentangled uncertainty quantification on regression models. ESANN 2024 - [c11]Pol Labarbarie, Adrien Chan-Hon-Tong, Stéphane Herbin, Milad Leyli-Abadi:
Optimal transport based adversarial patch to leverage large scale attack transferability. ICLR 2024 - [i3]Mouadh Yagoubi, Milad Leyli-Abadi, David Danan, Jean-Patrick Brunet, Jocelyn Ahmed Mazari, Florent Bonnet, Asma Farjallah, Marc Schoenauer, Patrick Gallinari:
ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design). CoRR abs/2403.01623 (2024) - [i2]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:
NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design. CoRR abs/2407.01641 (2024) - 2022
- [c10]Pol Labarbarie, Adrien Chan-Hon-Tong, Stéphane Herbin, Milad Leyli-Abadi:
Benchmarking and deeper analysis of adversarial patch attack on object detectors. AISafety@IJCAI 2022 - [c9]Milad Leyli-Abadi, Antoine Marot, Jérôme Picault, David Danan, Mouadh Yagoubi, Benjamin Donnot, Seif Attoui, Pavel Dimitrov, Asma Farjallah, Clement Etienam:
LIPS - Learning Industrial Physical Simulation benchmark suite. NeurIPS 2022 - [i1]Pol Labarbarie, Adrien Chan-Hon-Tong, Stéphane Herbin, Milad Leyli-Abadi:
Carpet-bombing patch: attacking a deep network without usual requirements. CoRR abs/2212.05827 (2022) - 2021
- [j2]Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou
, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Véronique Heim:
Online common change-point detection in a set of nonstationary categorical time series. Neurocomputing 439: 176-196 (2021) - [c8]Milad Leyli-Abadi, Abderrahmane Boubezoul:
Deep Neural Networks for Classification of Riding Patterns: with a focus on explainability. ESANN 2021 - 2020
- [c7]Milad Leyli-Abadi
Road Patterns Identification and Risk Analysis Based on Machine Learning Framework: Powered Two-Wheelers Case. IDEAL (2) 2020: 584-593 - [c6]Milad Leyli-Abadi, Abderrahmane Boubezoul, Stéphane Espié:
Non-Supervised Trajectory Segmentation and Cross Analysis of Riders' Dynamic Behavior in a Simulated Riding Platform. ISC2 2020: 1-8 - [c5]Milad Leyli-Abadi, Abderrahmane Boubezoul, Latifa Oukhellou
Riding Pattern Recognition for Powered Two-Wheelers Using a Long Short-Term Memory Network. ITSC 2020: 1-7
2010 – 2019
- 2019
- [b1]Milad Leyli-Abadi:
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). University of Paris-Est, France, 2019 - [j1]Milad Leyli-Abadi
Mixture of Joint Nonhomogeneous Markov Chains to Cluster and Model Water Consumption Behavior Sequences. ACM Trans. Intell. Syst. Technol. 10(6): 71:1-71:21 (2019) - [c4]Allou Samé, Milad Leyli-Abadi:
Change Point Detection in Periodic Panel Data Using a Mixture-Model-Based Approach. PAKDD (Workshops) 2019: 139-150 - 2018
- [c3]Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou
Mixture of Non-homogeneous Hidden Markov Models for Clustering and Prediction of Water Consumption Time Series. IJCNN 2018: 1-8 - 2017
- [c2]Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou
Predictive Classification of Water Consumption Time Series Using Non-homogeneous Markov Models. DSAA 2017: 323-331 - [c1]Milad Leyli-Abadi, Lazhar Labiod, Mohamed Nadif:
Denoising Autoencoder as an Effective Dimensionality Reduction and Clustering of Text Data. PAKDD (2) 2017: 801-813
Coauthor Index
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