51 citations · 151 across the 24 of their papers we have counts for
28 papers
Multi-Objective Structured Pruning of LLMs for Latency and Model Size Optimization
Muhammad Junaid Ali, Smail Niar, El-Ghazali Talbi
Large Language Models (LLMs) have achieved widespread adoption because of their strong reasoning and query-response capabilities. However, deploying them in embedded and edge compu…
NeurOptimisation: The Spiking Way to Evolve
Jorge Mario Cruz-Duarte, El-Ghazali Talbi
The increasing energy footprint of artificial intelligence systems urges alternative computational models that are both efficient and scalable. Neuromorphic Computing (NC) addresse…
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms
El-ghazali Talbi
Neuromorphic computing (NC) introduces a novel algorithmic paradigm representing a major shift from traditional digital computing of Von Neumann architectures. NC emulates or simul…
MOMAland: A Set of Benchmarks for Multi-Objective Multi-Agent Reinforcement Learning
Florian Felten, Umut Ucak, Hicham Azmani +10
Many challenging tasks such as managing traffic systems, electricity grids, or supply chains involve complex decision-making processes that must balance multiple conflicting object…
Parallel Hyperparameter Optimization Of Spiking Neural Network
Thomas Firmin, Pierre Boulet, El-Ghazali Talbi
Spiking Neural Networks (SNN). SNNs are based on a more biologically inspired approach than usual artificial neural networks. Such models are characterized by complex dynamics betw…
SONATA: Self-adaptive Evolutionary Framework for Hardware-aware Neural Architecture Search
Halima Bouzidi, Smail Niar, Hamza Ouarnoughi +1
Recent advancements in Artificial Intelligence (AI), driven by Neural Networks (NN), demand innovative neural architecture designs, particularly within the constrained environments…