Bilal Faye

According to our database, Bilal Faye authored at least 26 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Game Theory Meets Statistical Physics: A Novel Deep Neural Networks Design.

Djamel Bouchaffra, Fayçal Ykhlef, Bilal Faye, Mustapha Lebbah, Hanane Azzag

IEEE Trans. Cybern., May, 2026

Adaptive Head Budgeting for Efficient Multi-Head Attention.

Bilal Faye, Abdoulaye Mbaye, Hanane Azzag, Mustapha Lebbah

CoRR, April, 2026

Energy-Regularized Spatial Masking: A Novel Approach to Enhancing Robustness and Interpretability in Vision Models.

Tom Devynck, Bilal Faye, Djamel Bouchaffra, Nadjib Lazaar, Hanane Azzag, Mustapha Lebbah

CoRR, April, 2026

NeuroGame Transformer: Gibbs-Inspired Attention Driven by Game Theory and Statistical Physics.

Djamel Bouchaffra, Fayçal Ykhlef, Hanene Azzag, Mustapha Lebbah, Bilal Faye

CoRR, March, 2026

Energy-Based Dropout with Patch-Level Regularization.

Tom Devynck, Bilal Faye, Djamel Bouchaffra, Nadjib Lazaar, Hanene Azzag, Mustapha Lebbah

Proceedings of the 34th European Symposium on Artificial Neural Networks, 2026

2025

Prototype-Guided Diffusion: Visual Conditioning without External Memory.

Bilal Faye, Hanane Azzag, Mustapha Lebbah

CoRR, August, 2025

Value-Free Policy Optimization via Reward Partitioning.

Bilal Faye, Hanane Azzag, Mustapha Lebbah

CoRR, June, 2025

Enhancing neural network e fficiency through prior knowledge: Normalization, multimodal representation, and open-vocabulary object. (Amélioration de l'efficacité des réseaux de neurones grâce aux connaissances a priori: normalisation, représentation multimodale et détection d'objets à vocabulaire ouvert).

Bilal Faye

PhD thesis, 2025

Redesigning deep neural networks: Bridging game theory and statistical physics.

Djamel Bouchaffra, Fayçal Ykhlef, Bilal Faye, Mustapha Lebbah, Hanene Azzag

Neural Networks, 2025

OneEncoder: a lightweight framework for efficient multimodal training.

Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra

Neural Comput. Appl., 2025

Context normalization: A new approach for the stability and improvement of neural network performance.

Bilal Faye, Hanane Azzag, Mustapha Lebbah, Fangchen Feng

Data Knowl. Eng., 2025

2024

Game Theory Meets Statistical Mechanics in Deep Learning Design.

Djamel Bouchaffra, Fayçal Ykhlef, Bilal Faye, Hanane Azzag, Mustapha Lebbah

CoRR, 2024

OneEncoder: A Lightweight Framework for Progressive Alignment of Modalities.

Bilal Faye, Hanane Azzag, Mustapha Lebbah

CoRR, 2024

Unsupervised Adaptive Normalization.

Bilal Faye, Hanane Azzag, Mustapha Lebbah, Fangchen Fang

CoRR, 2024

LightMDETR: A Lightweight Approach for Low-Cost Open-Vocabulary Object Detection Training.

Binta Sow, Bilal Faye, Hanane Azzag, Mustapha Lebbah

CoRR, 2024

Supervised Batch Normalization.

Bilal Faye, Mustapha Lebbah, Hanane Azzag

CoRR, 2024

Cluster-Based Normalization Layer for Neural Networks.

Bilal Faye, Hanane Azzag, Mustapha Lebbah

CoRR, 2024

Context-Based Multimodal Fusion.

Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra

CoRR, 2024

UAN: Unsupervised Adaptive Normalization.

Bilal Faye, Hanane Azzag, Mustapha Lebbah, Fangchen Fang

Proceedings of the International Joint Conference on Neural Networks, 2024

Adaptative Context Normalization: A Boost for Deep Learning in Image Processing.

Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra

Proceedings of the IEEE International Conference on Image Processing, 2024

Normalisation Contextuelle : Une Nouvelle Approche pour la Stabilité et l'Amélioration des Performances des Réseaux de Neurones.

Bilal Faye, Hanane Azzag, Mustapha Lebbah, Fangchen Fang

Proceedings of the Extraction et Gestion des Connaissances, 2024

Lightweight Cross-Modal Representation Learning.

Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

2023

Context Normalization for Robust Image Classification.

Bilal Faye, Mohamed Djallel Dilmi, Hanane Azzag, Mustapha Lebbah, Fangchen Feng

CoRR, 2023

Context Normalization Layer with Applications.

Bilal Faye, Hanane Azzag, Mustapha Lebbah, Mohamed Djallel Dilmi, Djamel Bouchaffra

Proceedings of the IEEE International Conference on Data Mining, 2023

2021

The SPECTRANS System Description for the WMT21 Terminology Task.

Nicolas Ballier, Dahn Cho, Bilal Faye, Zong-You Ke, Hanna Martikainen, Mojca Pecman, Guillaume Wisniewski, Jean-Baptiste Yunès, Lichao Zhou, Maria Zimina-Poirot

Proceedings of the Sixth Conference on Machine Translation, 2021

Optimal EV Charger Level Specification for Residential Buildings with Renewable Energy.

Kaleb Knowles, Bilal Faye, Alex Orrson, Hussein Hassan Abdeltawab, Mesude Bayrakci-Boz, Sohail Anwar

Proceedings of the 19th IEEE International Conference on Smart Technologies, 2021