| 2024 | ICASSP | Deep Neural Network Models Trained with a Fixed Random Classifier Transfer Better Across Domains. | Hafiz Tiomoko Ali, Umberto Michieli, Ji Joong Moon, Daehyun Kim, Mete Ozay |
| 2022 | ICLR | Random matrices in service of ML footprint: ternary random features with no performance loss. | Hafiz Tiomoko Ali, Zhenyu Liao, Romain Couillet |
| 2021 | ICLR | Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach. | Malik Tiomoko, Hafiz Tiomoko Ali, Romain Couillet |
| 2020 | ECAI | Coulomb Autoencoders. | Emanuele Sansone, Hafiz Tiomoko Ali, Jiacheng Sun |
| 2019 | ICASSP | Latent Heterogeneous Multilayer Community Detection. | Hafiz Tiomoko Ali, Sijia Liu, Yasin Yilmaz, Romain Couillet, Indika Rajapakse, Alfred O. Hero III |
| 2018 | ICASSP | Random Matrix Asymptotics of Inner Product Kernel Spectral Clustering. | Hafiz Tiomoko Ali, Abla Kammoun, Romain Couillet |
| 2016 | ACSSC | Random matrix improved community detection in heterogeneous networks. | Hafiz Tiomoko Ali, Romain Couillet |
| 2016 | ICASSP | Performance analysis of spectral community detection in realistic graph models. | Hafiz Tiomoko Ali, Romain Couillet |
| 2016 | ICML | A Random Matrix Approach to Echo-State Neural Networks. | Romain Couillet, Gilles Wainrib, Hafiz Tiomoko Ali, Harry Sevi |