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Hafiz TIOMOKO ALI
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Documents
Identifiants chercheurs
- hafiz-tiomoko-ali
- ResearcherId : G-9812-2016
Présentation
Hafiz TIOMOKO ALI was born in Cotonou, Benin. He received an engineering degree in Telecommunications from Institut des télécommunications d’Oran (Algérie) and a Research master in Advanced Wireless Systems from Ecole Normale Supérieure de Cachan (France) in 2015. He worked during his master thesis on "The performance analysis of spectral community detection algorithms on large random graphs" with Romain COUILLET in the chair LANEAS. He is working since October 2015 on his PHD topic "Random Matrix Theory and Large Dimensional graphs" under the supervision of Professor Romain COUILLET. He was visiting Professor Alfred Hero at the Electrical Engineering and Computer Science department of Michigan University from March 2017 to July 2017, working on statistical inference methods applied to biological data. His research interests are related to machine learning, graph theory, statistical inference and random matrix theory.
Publications
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Improved spectral community detection in large heterogeneous networksJournal of Machine Learning Research, 2018, 18 (10), pp.1-49
Article dans une revue
hal-01957623v1
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The asymptotic performance of linear echo state neural networksJournal of Machine Learning Research, 2016, 17 (178), pp.1-35
Article dans une revue
hal-01322809v1
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Random matrix asymptotics of inner product kernel spectral clusteringIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), Apr 2018, Calgary, Canada. ⟨10.1109/icassp.2018.8462052⟩
Communication dans un congrès
hal-01812005v1
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Random matrix-improved kernels for large dimensional spectral clustering2018 IEEE Statistical Signal Processing Workshop (SSP), Jun 2018, Freiburg, Germany. ⟨10.1109/ssp.2018.8450705⟩
Communication dans un congrès
hal-01812009v1
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Training Performance of Echo State Neural NetworksIEEE Statistical Signal Processing Workshop 2016 (SSP'16), Palma de Majorca, Spain, Jun 2016, Palma de Majorca, Spain
Communication dans un congrès
hal-01633450v2
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A Random Matrix Approach to Echo-State Neural NetworksInternational Conference on Machine Learning (ICML 2016), Jun 2016, New York, United States
Communication dans un congrès
hal-01812026v1
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Random matrix improved community detection in heterogeneous networks50th Asilomar Conference on Signals, Systems and Computers, Nov 2016, Pacific Grove, United States. ⟨10.1109/acssc.2016.7869603⟩
Communication dans un congrès
hal-01812036v1
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Performance Analysis of spectral community detection in realistic graph modelsIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'16), Shanghai, China, Mar 2016, Shanguai, China. ⟨10.1109/icassp.2016.7472538⟩
Communication dans un congrès
hal-01322797v1
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