Hafiz Tiomoko Ali

20 papers A* 3A 1Misc 5Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Breaking the Barriers of Text-Hungry and Audio-Deficient AI.
CoRR
Hamidou Tembine, Issa Bamia, Massa Ndong, Bakary Coulibaly, Oumar Issiaka Traore, Moussa Traore, Moussa Sanogo, Mamadou Eric Sangare, Salif Kante, Daryl Noupa Yongueng, Hafiz Tiomoko Ali, Malik Tiomoko, Frejus Laleye, Boualem Djehiche, Wesmanegda Elisee Dipama, Idris Baba Saje, Hammid Mohammed Ibrahim, Moumini Sanogo, Marie Coursel Nininahazwe, Abdul-Latif Siita, Haine Mhlongo, Teddy Nelvy Dieu Merci Kouka, Mariam Serine Jeridi, Mutiyamuogo Parfait Mupenge, Lekoueiry Dehah, Abdoul-Aziz Bio Sidi D. Bouko, Wilfried Franceslas Zokoue, Odette Richette Sambila, Alina RS Mbango, Mady Diagouraga, Oumarou Moussa Sanoussi, Gizachew Dessalegn, Mohamed Lamine Samoura, Bintou Laetitia Audrey Coulibaly
2025 J jnl
Human in the Loop Adaptive Optimization for Improved Time Series Forecasting.
CoRR
Malik Tiomoko, Hamza Cherkaoui, Giuseppe Paolo, Yili Zhang, Yu Meng, Keli Zhang, Hafiz Tiomoko Ali
2024 J jnl
Deep Neural Network Models Trained With A Fixed Random Classifier Transfer Better Across Domains.
CoRR
Hafiz Tiomoko Ali, Umberto Michieli, Ji Joong Moon, Daehyun Kim, Mete Ozay
2024 Misc conf
Deep Neural Network Models Trained with a Fixed Random Classifier Transfer Better Across Domains.
ICASSP
Hafiz Tiomoko Ali, Umberto Michieli, Ji Joong Moon, Daehyun Kim, Mete Ozay
2022 A* conf
Random matrices in service of ML footprint: ternary random features with no performance loss.
ICLR
Hafiz Tiomoko Ali, Zhenyu Liao, Romain Couillet
2021 A* conf
Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach.
ICLR
Malik Tiomoko, Hafiz Tiomoko Ali, Romain Couillet
2021 J jnl
Random matrices in service of ML footprint: ternary random features with no performance loss.
CoRR
Hafiz Tiomoko Ali, Zhenyu Liao, Romain Couillet
2020 A conf
Coulomb Autoencoders.
ECAI
Emanuele Sansone, Hafiz Tiomoko Ali, Jiacheng Sun
2019 Misc conf
Latent Heterogeneous Multilayer Community Detection.
ICASSP
Hafiz Tiomoko Ali, Sijia Liu, Yasin Yilmaz, Romain Couillet, Indika Rajapakse, Alfred O. Hero III
2018 J jnl
Latent heterogeneous multilayer community detection.
CoRR
Hafiz Tiomoko Ali, Sijia Liu, Yasin Yilmaz, Alfred O. Hero III, Romain Couillet, Indika Rajapakse
2018 — —
Nouvelles méthodes pour l'apprentissage non-supervisé en grandes dimensions. (New methods for large-scale unsupervised learning).
Hafiz Tiomoko Ali
2018 Misc conf
Random Matrix Asymptotics of Inner Product Kernel Spectral Clustering.
ICASSP
Hafiz Tiomoko Ali, Abla Kammoun, Romain Couillet
2018 — conf
Random Matrix-Improved Kernels For Large Dimensional Spectral Clustering.
SSP
Hafiz Tiomoko Ali, Abla Kammoun, Romain Couillet
2017 J jnl
Improved spectral community detection in large heterogeneous networks.
J. Mach. Learn. Res.
Hafiz Tiomoko Ali, Romain Couillet
2016 A* conf
A Random Matrix Approach to Echo-State Neural Networks.
ICML
Romain Couillet, Gilles Wainrib, Hafiz Tiomoko Ali, Harry Sevi
2016 Misc conf
Performance analysis of spectral community detection in realistic graph models.
ICASSP
Hafiz Tiomoko Ali, Romain Couillet
2016 Misc conf
Random matrix improved community detection in heterogeneous networks.
ACSSC
Hafiz Tiomoko Ali, Romain Couillet
2016 J jnl
The Asymptotic Performance of Linear Echo State Neural Networks.
CoRR
Romain Couillet, Gilles Wainrib, Harry Sevi, Hafiz Tiomoko Ali
2016 J jnl
The Asymptotic Performance of Linear Echo State Neural Networks.
J. Mach. Learn. Res.
Romain Couillet, Gilles Wainrib, Harry Sevi, Hafiz Tiomoko Ali
2016 — conf
Training performance of echo state neural networks.
SSP
Romain Couillet, Gilles Wainrib, Harry Sevi, Hafiz Tiomoko Ali