2 citations · 4 across the 12 of their papers we have counts for
12 papers
A Collective Variational Principle Unifying Bayesian Inference, Game Theory, and Thermodynamics
Djamel Bouchaffra, Faycal Ykhlef, Mustapha Lebbah +1
Collective intelligence emerges across biological, physical, and artificial systems without central coordination, yet a unifying principle governing such behaviour remains elusive.…
Energy-Regularized Spatial Masking: A Novel Approach to Enhancing Robustness and Interpretability in Vision Models
Tom Devynck, Bilal Faye, Djamel Bouchaffra +3
Deep convolutional neural networks achieve remarkable performance by exhaustively processing dense spatial feature maps, yet this brute-force strategy introduces significant comput…
Prototype-Guided Diffusion: Visual Conditioning without External Memory
Bilal Faye, Hanane Azzag, Mustapha Lebbah
Diffusion models achieve state-of-the-art image generation but remain computationally costly due to iterative denoising. Latent-space models like Stable Diffusion reduce overhead y…
MB-ORES: A Multi-Branch Object Reasoner for Visual Grounding in Remote Sensing
Karim Radouane, Hanane Azzag, Mustapha lebbah
We propose a unified framework that integrates object detection (OD) and visual grounding (VG) for remote sensing (RS) imagery. To support conventional OD and establish an intuitiv…
Game Theory Meets Statistical Mechanics in Deep Learning Design
Djamel Bouchaffra, Fayçal Ykhlef, Bilal Faye +2
We present a novel deep graphical representation that seamlessly merges principles of game theory with laws of statistical mechanics. It performs feature extraction, dimensionality…
OneEncoder: A Lightweight Framework for Progressive Alignment of Modalities
Bilal Faye, Hanane Azzag, Mustapha Lebbah
Cross-modal alignment Learning integrates information from different modalities like text, image, audio and video to create unified models. This approach develops shared representa…
Lightweight Modular Parameter-Efficient Tuning for Open-Vocabulary Object Detection
Bilal Faye, Hanane Azzag, Mustapha Lebbah
Open-vocabulary object detection (OVD) extends recognition beyond fixed taxonomies by aligning visual and textual features, as in MDETR, GLIP, or RegionCLIP. While effective, these…
Enhancing Neural Network Representations with Prior Knowledge-Based Normalization
Bilal Faye, Hanane Azzag, Mustapha Lebbah +1
Deep learning models face persistent challenges in training, particularly due to internal covariate shift and label shift. While single-mode normalization methods like Batch Normal…
Context Normalization Layer with Applications
Bilal Faye, Mohamed-Djallel Dilmi, Hanane Azzag +2
Normalization is a pre-processing step that converts the data into a more usable representation. As part of the deep neural networks (DNNs), the batch normalization (BN) technique…
A Survey and Implementation of Performance Metrics for Self-Organized Maps
Florent Forest, Mustapha Lebbah, Hanane Azzag +1
Self-Organizing Map algorithms have been used for almost 40 years across various application domains such as biology, geology, healthcare, industry and humanities as an interpretab…
Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving Validation
Etienne Goffinet, Anthony Coutant, Mustapha Lebbah +2
Autonomous driving systems validation remains one of the biggest challenges car manufacturers must tackle in order to provide safe driverless cars. The high complexity stems from s…
Selecting the Number of Clusters with a Stability Trade-off: an Internal Validation Criterion
Alex Mourer, Florent Forest, Mustapha Lebbah +2
Model selection is a major challenge in non-parametric clustering. There is no universally admitted way to evaluate clustering results for the obvious reason that no ground truth i…