Vincent Gripon

Vincent Gripon serves as a permanent researcher at IMT Atlantique, where he specializes in artificial neural networks, deep learning, and signal processing. After earning his MSc from ENS-Cachan and PhD from Télécom Bretagne in 2011, he has established himself as a leading expert in efficient deep learning and graph signal processing. His research contributions include pioneering work in sparse neural networks, few-shot learning, and graph-based approaches to neural network analysis. His impact is evidenced through over 2,900 citations and an h-index of 19, with significant publications in IEEE Transactions and other prestigious journals. His current work focuses on efficient deep learning architectures, associative memories, and FPGA implementations, while maintaining active collaboration with international research teams. His expertise spans theoretical machine learning, graph signal processing, and practical applications in neuroimaging and network optimization. He currently supervises multiple doctoral and postdoctoral researchers while contributing to advancing the field through innovative approaches to neural network design and implementation.