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Enzo Tartaglione is Full Professor at Télécom Paris and leads the Multimedia team. His research focuses on neural network compression, efficient and frugal AI, and the mathematical foundations underlying compact, deployable deep models. He has contributed extensively to pruning, quantization, low-rank decomposition, and information-theoretic perspectives on compression.

He supervises several PhD students, teaches in the IP Paris graduate programs, and collaborates with industrial partners on resource-constrained AI.