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 (EUROCON, 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 (WMT@EMNLP, 2021)

Context Normalization Layer with Applications. - Bilal Faye; Hanane Azzag; Mustapha Lebbah; Mohamed Djallel Dilmi; Djamel Bouchaffra (ICDM (Workshops), 2023)

Context Normalization for Robust Image Classification. - Bilal Faye; Mohamed Djallel Dilmi; Hanane Azzag; Mustapha Lebbah; Fangchen Feng (CoRR, 2023)

Lightweight Cross-Modal Representation Learning. - Bilal Faye; Hanane Azzag; Mustapha Lebbah; Djamel Bouchaffra (ESANN, 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 (EGC, 2024)

Adaptative Context Normalization: A Boost for Deep Learning in Image Processing. - Bilal Faye; Hanane Azzag; Mustapha Lebbah; Djamel Bouchaffra (ICIP, 2024)

UAN: Unsupervised Adaptive Normalization. - Bilal Faye; Hanane Azzag; Mustapha Lebbah; Fangchen Fang (IJCNN, 2024)

Context-Based Multimodal Fusion. - Bilal Faye; Hanane Azzag; Mustapha Lebbah; Djamel Bouchaffra (CoRR, 2024)

Cluster-Based Normalization Layer for Neural Networks. - Bilal Faye; Hanane Azzag; Mustapha Lebbah (CoRR, 2024)

Supervised Batch Normalization. - Bilal Faye; Mustapha Lebbah; Hanane Azzag (CoRR, 2024)

LightMDETR: A Lightweight Approach for Low-Cost Open-Vocabulary Object Detection Training. - Binta Sow; Bilal Faye; Hanane Azzag; Mustapha Lebbah (CoRR, 2024)

Unsupervised Adaptive Normalization. - Bilal Faye; Hanane Azzag; Mustapha Lebbah; Fangchen Fang (CoRR, 2024)

OneEncoder: A Lightweight Framework for Progressive Alignment of Modalities. - Bilal Faye; Hanane Azzag; Mustapha Lebbah (CoRR, 2024)

Game Theory Meets Statistical Mechanics in Deep Learning Design. - Djamel Bouchaffra; Fayçal Ykhlef; Bilal Faye; Hanane Azzag; Mustapha Lebbah (CoRR, 2024)

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)

Redesigning deep neural networks: Bridging game theory and statistical physics. - Djamel Bouchaffra; Fayçal Ykhlef; Bilal Faye; Mustapha Lebbah; Hanene Azzag (Neural Networks, 2025)

Value-Free Policy Optimization via Reward Partitioning. - Bilal Faye; Hanane Azzag; Mustapha Lebbah (CoRR, 2025)

Prototype-Guided Diffusion: Visual Conditioning without External Memory. - Bilal Faye; Hanane Azzag; Mustapha Lebbah (CoRR, 2025)