Victor Quétu

PhD student, Télécom ParisTech

Joined

January 2023

Names

Victor Quétu (Preferred)

Emails

****@telecom-paris.fr (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Google Scholar

DBLP

ORCID

Career & Education History

PhD student

Télécom ParisTech (telecom-paristech.fr)

2022 – 2026

MS student

Ecole Nationale Supérieure de l'Electronique et de ses Applications (ensea.fr)

2019 – 2022

Advisors, Relations & Conflicts

PhD Advisor

Enzo Tartaglione

2022 – 2026

PhD Advisor

Gaël Richard

2022 – 2026

Expertise

deep learning

Present

pruning

Present

regularization

Present

deep neural network compression

Present

efficient inference

Present

neural network pruning

Present

inference efficiency

Present

model compression

Present

Publications

Layer Collapse Can be Induced by Unstructured Pruning
Zhu LIAO, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione
- Accepted by TMLR
- Readers: Everyone
LaCoOT: Layer Collapse through Optimal Transport
Victor Quétu, Zhu LIAO, Nour Hezbri, Fabio Pizzati, Enzo Tartaglione
- International Conference on Computer Vision 2025
- Readers: Everyone
DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free?
Victor Quétu, Enzo Tartaglione
- 38th Annual AAAI Conference on Artificial Intelligence (AAAI24)
- Readers: Everyone
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
- 9th Annual AAAI Conference on Artificial Intelligence (AAAI25)
- Readers: Everyone
Can Unstructured Pruning Reduce the Depth in Deep Neural Networks?
Zhu LIAO, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione
- International Conference on Computer Vision (ICCV) 2023
- Readers: Everyone
The Simpler The Better: An Entropy-Based Importance Metric to Reduce Neural Networks’ Depth
Victor Quétu, Zhu LIAO, Enzo Tartaglione
- Machine Learning and Knowledge Discovery in Databases. Research Track (ECML PKDD 2024)
- Readers: Everyone
NEPENTHE: Entropy-Based Pruning as a Neural Network Depth's Reducer
Zhu LIAO, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Dodging the Double Descent in Deep Neural Networks
Victor Quétu, Enzo Tartaglione
- Published: 01 Jan 2023, Last Modified: 12 May 2023
- CoRR 2023
- Readers: Everyone
Dodging the Sparse Double Descent
Victor Quétu, Enzo Tartaglione
- Published: 01 Jan 2023, Last Modified: 12 May 2023
- CoRR 2023
- Readers: Everyone

Victor Quétu

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors