Hafiz Tiomoko Ali

According to our database1, Hafiz Tiomoko Ali authored at least 14 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Deep Neural Network Models Trained With A Fixed Random Classifier Transfer Better Across Domains.
CoRR, 2024

2022
Random matrices in service of ML footprint: ternary random features with no performance loss.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Coulomb Autoencoders.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Latent Heterogeneous Multilayer Community Detection.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Nouvelles méthodes pour l'apprentissage non-supervisé en grandes dimensions. (New methods for large-scale unsupervised learning).
PhD thesis, 2018

Random Matrix-Improved Kernels For Large Dimensional Spectral Clustering.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Random Matrix Asymptotics of Inner Product Kernel Spectral Clustering.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Improved spectral community detection in large heterogeneous networks.
J. Mach. Learn. Res., 2017

2016
The Asymptotic Performance of Linear Echo State Neural Networks.
J. Mach. Learn. Res., 2016

Training performance of echo state neural networks.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

A Random Matrix Approach to Echo-State Neural Networks.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Performance analysis of spectral community detection in realistic graph models.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Random matrix improved community detection in heterogeneous networks.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016


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