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2020 – today
- 2025
[c9]Rundong Liu, Andre Frade, Amal Vaidya, Maxime Labonne, Marcus Kaiser, Bismayan Chakrabarti, Jonathan Budd, John F. Buford, Xiaomin Lin:
CodeQUEST: Evaluation and Improvement of Code Quality Using LLMs. ISSREW 2025: 123-130- [i10]Rundong Liu, Andre Frade, Amal Vaidya, Maxime Labonne, Marcus Kaiser, Bismayan Chakrabarti, Jonathan Budd, Sean J. Moran:
On Iterative Evaluation and Enhancement of Code Quality Using GPT-4o. CoRR abs/2502.07399 (2025) - [i9]Alexander Amini, Anna Banaszak, Harold Benoit, Arthur Böök, Tarek Dakhran, Song Duong, Alfred Eng, Fernando Fernandes, Marc Härkönen, Anne Harrington, Ramin M. Hasani, Saniya Karwa, Yuri Khrustalev, Maxime Labonne, Mathias Lechner, Valentine Lechner, Simon Lee, Zetian Li, Noel Loo, Jacob Marks, Edoardo Mosca, Samuel J. Paech, Paul Pak, Rom N. Parnichkun, Alex Quach, Ryan Rogers, Daniela Rus, Nayan Saxena, Bettina Schlager, Tim Seyde, Jimmy T. H. Smith, Aditya Tadimeti, Neehal Tumma:
LFM2 Technical Report. CoRR abs/2511.23404 (2025) - [i8]Rohin Manvi, Joey Hong, Tim Seyde, Maxime Labonne, Mathias Lechner, Sergey Levine:
Zero-Overhead Introspection for Adaptive Test-Time Compute. CoRR abs/2512.01457 (2025) - 2024
- [j2]Lars Riedemann
, Maxime Labonne, Stephen Gilbert:
The path forward for large language models in medicine is open. npj Digit. Medicine 7(1) (2024) - [j1]Kostis Gourgoulias, Najah Ghalyan, Maxime Labonne, Yash Satsangi, Sean J. Moran, Joseph Sabelja:
Estimating class separability of text embeddings with persistent homology. Trans. Mach. Learn. Res. 2024 (2024) - [i7]Thomas Gauthier-Caron, Shamane Siriwardhana, Elliot Stein, Malikeh Ehghaghi, Charles Goddard, Mark McQuade, Jacob Solawetz, Maxime Labonne:
Merging in a Bottle: Differentiable Adaptive Merging (DAM) and the Path from Averaging to Automation. CoRR abs/2410.08371 (2024) - 2023
- [i6]Maxime Labonne, Sean J. Moran:
Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection. CoRR abs/2304.01238 (2023) - [i5]Najah Ghalyan, Kostis Gourgoulias, Yash Satsangi, Sean J. Moran, Maxime Labonne, Joseph Sabelja:
An Unsupervised Method for Estimating Class Separability of Datasets with Application to LLMs Fine-Tuning. CoRR abs/2305.15016 (2023) - 2022
- [c8]Erick Petersen, Jorge López, Natalia Kushik, Maxime Labonne, Claude Poletti, Djamal Zeghlache:
Dynamic Link Network Emulation and Validation of Execution Datasets. ENASE (Selected Papers) 2022: 116-138 - 2021
- [c7]Jorge López, Maxime Labonne, Claude Poletti:
Toward Formal Data Set Verification for Building Effective Machine Learning Models. KDIR 2021: 249-256 - [c6]Maxime Labonne, Jorge López, Claude Poletti, Jean-Baptiste Munier:
WIP: Short-Term Flow-Based Bandwidth Forecasting using Machine Learning. WOWMOM 2021: 260-263 - [i4]Jorge López, Maxime Labonne, Claude Poletti:
Toward Formal Data Set Verification for Building Effective Machine Learning Models. CoRR abs/2108.11220 (2021) - [i3]Maxime Labonne, Charalampos Chatzinakis, Alexis Olivereau:
Predicting Bandwidth Utilization on Network Links Using Machine Learning. CoRR abs/2112.02417 (2021) - 2020
- [b1]Maxime Labonne:
Anomaly-based network intrusion detection using machine learning. (Détection d'intrusion réseau par anomalies avec apprentissage automatique). Polytechnic Institute of Paris, France, 2020 - [c5]Maxime Labonne, Charalampos Chatzinakis, Alexis Olivereau:
Predicting Bandwidth Utilization on Network Links Using Machine Learning. EuCNC 2020: 242-247 - [c4]Maxime Labonne, Alexis Olivereau, Baptiste Polvé, Djamal Zeghlache:
Unsupervised Protocol-based Intrusion Detection for Real-world Networks. ICNC 2020: 299-303 - [c3]Jorge López, Maxime Labonne, Claude Poletti, Dallal Belabed:
Priority Flow Admission and Routing in SDN: Exact and Heuristic Approaches. NCA 2020: 1-10 - [i2]Jorge López, Maxime Labonne, Claude Poletti, Dallal Belabed:
Priority Flow Admission and Routing in SDN: Exact and Heuristic Approaches. CoRR abs/2009.10822 (2020) - [i1]Maxime Labonne, Jorge López, Claude Poletti, Jean-Baptiste Munier:
Short-Term Flow-Based Bandwidth Forecasting using Machine Learning. CoRR abs/2011.14421 (2020)
2010 – 2019
- 2019
- [c2]Maxime Labonne, Alexis Olivereau, Baptiste Polvé, Djamal Zeghlache:
A Cascade-structured Meta-Specialists Approach for Neural Network-based Intrusion Detection. CCNC 2019: 1-6 - 2018
- [c1]Michele Russo, Maxime Labonne, Alexis Olivereau, Mohammad Rmayti:
Anomaly Detection in Vehicle-to-Infrastructure Communications. VTC Spring 2018: 1-6
Coauthor Index
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