| Geomstats: a Python package for Riemannian geometry in machine learning N Miolane, N Guigui, A Le Brigant, J Mathe, B Hou, Y Thanwerdas, ... Journal of Machine Learning Research 21 (223), 1-9, 2020 | 86 | 2020 |
| Alice Le Brigant, Johan Mathe N Miolane, N Guigui Benjamin Hou, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep …, 2020 | 45 | 2020 |
| Introduction to geometric learning in python with geomstats N Miolane, N Guigui, H Zaatiti, C Shewmake, H Hajri, D Brooks, ... SciPy 2020-19th Python in Science Conference, 48-57, 2020 | 12 | 2020 |
| Abstractions refinement for hybrid systems diagnosability analysis H Zaatiti, L Ye, P Dague, JP Gallois, L Travé-Massuyès Diagnosability, Security and Safety of Hybrid Dynamic and Cyber-Physical …, 2018 | 9 | 2018 |
| Counterexample-Guided Abstraction-Refinement for Hybrid Systems Diagnosability Analysis. H Zaatiti, L Ye, P Dague, JP Gallois DX, 124-143, 2017 | 7 | 2017 |
| Cyber-physical system and contract-based design: A three dimensional view D Cancila, H Zaatiti, R Passerone Proceedings of the WESE'15: Workshop on Embedded and Cyber-Physical Systems …, 2015 | 6 | 2015 |
| From node embedding to community embedding: A hyperbolic approach T Gerald, H Zaatiti, H Hajri, N Baskiotis, O Schwander arXiv preprint arXiv:1907.01662, 2019 | 4 | 2019 |
| Learning graph-structured data using Poincaré embeddings and Riemannian K-means algorithms H Hajri, H Zaatiti, G Hébrail https://arxiv.org/abs/1907.01662v1, 2019 | 3 | 2019 |
| Modélisation et simulation qualitative de systemes hybrides H Zaatiti Université Paris-Saclay (ComUE), 2018 | 3 | 2018 |
| Apprentissage automatique sur des données de type graphe utilisant le plongement de Poincaré et les algorithmes stochastiques riemanniens H Hajri, H Zaatiti, G Hébrail, P Aknin Conférence Nationale d’Intelligence Artificielle Année 2019, 69, 2019 | 2 | 2019 |
| Automating Abstraction Computations of Hybrid Systems H Zaatiti, L Ye, P Dague, JP Gallois CICM 2018-11th Conference on Intelligent Computer Mathematics; Workshop FVPS …, 2018 | 2 | 2018 |
| Cyber-Physical Systems and Contract-Based Approach D Cancila, H Zaatiti, R Passerone Proceedings of the Workshop on Embedded Systems Education (WESE), 2015 | 2 | 2015 |
| A hyperbolic approach for learning communities on graphs T Gerald, H Zaatiti, H Hajri, N Baskiotis, O Schwander Data Mining and Knowledge Discovery 37 (3), 1090-1124, 2023 | 1 | 2023 |
| Modeling and qualitative simulation of hybrid systems H Zaatiti Université Paris Saclay (COmUE), 2018 | 1 | 2018 |
| A three level trajectory planning for autonomous transportation systems DT Nguyen, H Zaatiti, M Tlig, J Van Frank CONGRÈS: SIA Simulation Numérique digital, 2021 | | 2021 |
| A Practical Hands-on for Learning Graph Data Communities on Manifolds T Gerald, H Zaatiti, H Hajri Workshop on Joint Structures and Common Foundations of Statistical Physics …, 2020 | | 2020 |
| Modeling and qualitative simulation of hybrid systems.(Modélisation et simulation qualitative de systèmes hybrides). H Zaatiti University of Paris-Saclay, France, 2018 | | 2018 |
| Learning graph-structured data using Poincaré embeddings and Riemannian stochastic algorithms H Hajri, H Zaatiti, G Hebrail, P Aknin | | |
| A Hyperbolic approach for learning communities on graphs TG Hatem Hajri, H Zaatiti | | |
