Van-Tam Nguyen

33 papers A* 4Journal 20Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Layer Collapse Can be Induced by Unstructured Pruning.
Trans. Mach. Learn. Res.
Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione
2026 J jnl
Unified pipeline for generalized mental state detection using EEG signals.
Expert Syst. Appl.
Yinghao Wang, Rayan Elrawas, Anh-Dung Nguyen, Maxime Girard, Pavlo Mozharovskyi, Enzo Tartaglione, Van-Tam Nguyen
2025 A* conf
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning.
ICML
Le-Trung Nguyen, Aël Quélennec, Van-Tam Nguyen, Enzo Tartaglione
2025 J jnl
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning.
CoRR
Le-Trung Nguyen, Aël Quélennec, Van-Tam Nguyen, Enzo Tartaglione
2025 J jnl
Efficient Resource-Constrained Training of Vision Transformers via Subspace Optimization.
CoRR
Le-Trung Nguyen, Enzo Tartaglione, Van-Tam Nguyen
2025 J jnl
Genetic Algorithm Design Exploration for On-Device Training on FPGAs.
CoRR
Alaa Mazouz, Van-Tam Nguyen
2025 J jnl
Memory Constrained Dynamic Subnetwork Update for Transfer Learning.
CoRR
Aël Quélennec, Pavlo Mozharovskyi, Van-Tam Nguyen, Enzo Tartaglione
2025 J jnl
Self-Supervised Learning of Graph Representations for Network Intrusion Detection.
CoRR
Lorenzo Guerra, Thomas Chapuis, Guillaume Duc, Pavlo Mozharovskyi, Van-Tam Nguyen
2025 J jnl
Study of Training Dynamics for Memory-Constrained Fine-Tuning.
CoRR
Aël Quélennec, Nour Hezbri, Pavlo Mozharovskyi, Van-Tam Nguyen, Enzo Tartaglione
2025 A* conf
Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers.
AAAI
Zhu Liao, Nour Hezbri, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione
2024 — conf
AI-Driven Intrusion Detection Systems (IDS) on the ROAD Dataset: A Comparative Analysis for Automotive Controller Area Network (CAN).
CSCS
Lorenzo Guerra, Linhan Xu, Paolo Bellavista, Thomas Chapuis, Guillaume Duc, Pavlo Mozharovskyi, Van-Tam Nguyen
2024 J jnl
AI-Driven Intrusion Detection Systems (IDS) on the ROAD dataset: A Comparative Analysis for automotive Controller Area Network (CAN).
CoRR
Lorenzo Guerra, Linhan Xu, Pavlo Mozharovskyi, Paolo Bellavista, Thomas Chapuis, Guillaume Duc, Van-Tam Nguyen
2024 A* conf
Activation Map Compression through Tensor Decomposition for Deep Learning.
NeurIPS
Le-Trung Nguyen, Aël Quélennec, Enzo Tartaglione, Samuel Tardieu, Van-Tam Nguyen
2024 J jnl
Activation Map Compression through Tensor Decomposition for Deep Learning.
CoRR
Le-Trung Nguyen, Aël Quélennec, Enzo Tartaglione, Samuel Tardieu, Van-Tam Nguyen
2024 — conf
Debiasing Surgeon: Fantastic Weights and How to Find Them.
ECCV (85)
Rémi Nahon, Ivan Luiz De Moura Matos, Van-Tam Nguyen, Enzo Tartaglione
2024 J jnl
Debiasing surgeon: fantastic weights and how to find them.
CoRR
Rémi Nahon, Ivan Luiz De Moura Matos, Van-Tam Nguyen, Enzo Tartaglione
2024 — conf
Memory-Optimized Once-For-All Network.
ECCV Workshops (11)
Maxime Girard, Victor Quétu, Samuel Tardieu, Van-Tam Nguyen, Enzo Tartaglione
2024 J jnl
Memory-Optimized Once-For-All Network.
CoRR
Maxime Girard, Victor Quétu, Samuel Tardieu, Van-Tam Nguyen, Enzo Tartaglione
2024 J jnl
NEPENTHE: Entropy-Based Pruning as a Neural Network Depth's Reducer.
CoRR
Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione
2024 J jnl
Online continual streaming learning for embedded space applications.
J. Real Time Image Process.
Alaa Eddine Mazouz, Van-Tam Nguyen
2024 J jnl
Till the Layers Collapse: Compressing a Deep Neural Network through the Lenses of Batch Normalization Layers.
CoRR
Zhu Liao, Nour Hezbri, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione
2024 — conf
Towards On-Device Learning on the Edge: Ways to Select Neurons to Update Under a Budget Constraint.
WACV (Workshops)
Aël Quélennec, Enzo Tartaglione, Pavlo Mozharovskyi, Van-Tam Nguyen
2023 — conf
AIoT-based Neural Decoding and Neurofeedback for Accelerated Cognitive Training: Vision, Directions and Preliminary Results.
SSP
Van-Tam Nguyen, Enzo Tartaglione, Tuan Dinh
2023 — conf
Can Unstructured Pruning Reduce the Depth in Deep Neural Networks?
ICCV (Workshops)
Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione
2023 J jnl
Can Unstructured Pruning Reduce the Depth in Deep Neural Networks?
CoRR
Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione
2023 — conf
Mental State Classification Using EEG Signals: Ethics, Law and Challenges.
PKDD/ECML Workshops (1)
Rémi Nahon, Nasim Bagheri, Giovanna Varni, Enzo Tartaglione, Van-Tam Nguyen
2023 A* conf
Mining bias-target Alignment from Voronoi Cells.
ICCV
Rémi Nahon, Van-Tam Nguyen, Enzo Tartaglione
2023 J jnl
Mining bias-target Alignment from Voronoi Cells.
CoRR
Rémi Nahon, Van-Tam Nguyen, Enzo Tartaglione
2023 — conf
Optimized preprocessing and Tiny ML for Attention State Classification.
SSP
Yinghao Wang, Rémi Nahon, Enzo Tartaglione, Pavlo Mozharovskyi, Van-Tam Nguyen
2023 J jnl
Optimized preprocessing and Tiny ML for Attention State Classification.
CoRR
Yinghao Wang, Rémi Nahon, Enzo Tartaglione, Pavlo Mozharovskyi, Van-Tam Nguyen
2023 — conf
SCoTTi: Save Computation at Training Time with an adaptive framework.
ICCV (Workshops)
Ziyu Li, Enzo Tartaglione, Van-Tam Nguyen
2023 J jnl
SCoTTi: Save Computation at Training Time with an adaptive framework.
CoRR
Ziyu Lin, Enzo Tartaglione, Van-Tam Nguyen
2023 J jnl
Towards On-device Learning on the Edge: Ways to Select Neurons to Update under a Budget Constraint.
CoRR
Aël Quélennec, Enzo Tartaglione, Pavlo Mozharovskyi, Van-Tam Nguyen