Quétu, Victor

8 publications

TMLR 2026 Layer Collapse Can Be Induced by Unstructured Pruning Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione

ICCV 2025 FOLDER: Accelerating Multi-Modal Large Language Models with Enhanced Performance Haicheng Wang, Zhemeng Yu, Gabriele Spadaro, Chen Ju, Victor Quétu, Shuai Xiao, Enzo Tartaglione

ICCV 2025 LaCoOT: Layer Collapse Through Optimal Transport Victor Quétu, Zhu Liao, Nour Hezbri, Fabio Pizzati, Enzo Tartaglione

AAAI 2025 Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers Zhu Liao, Nour Hezbri, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione

AAAI 2024 DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free? Victor Quétu, Enzo Tartaglione

ECCVW 2024 Memory-Optimized Once-for-All Network Maxime Girard, Victor Quétu, Samuel Tardieu, Van-Tam Nguyen, Enzo Tartaglione

ECML-PKDD 2024 The Simpler the Better: An Entropy-Based Importance Metric to Reduce Neural Networks' Depth Victor Quétu, Zhu Liao, Enzo Tartaglione

ICCVW 2023 Can Unstructured Pruning Reduce the Depth in Deep Neural Networks? Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione