Maxime Labonne

22 papers B 1C 1Misc 1Journal 12Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	CodeQUEST: Evaluation and Improvement of Code Quality Using LLMs. ISSREW Rundong Liu, Andre Frade, Amal Vaidya, Maxime Labonne, Marcus Kaiser, Bismayan Chakrabarti, Jonathan Budd, John F. Buford, Xiaomin Lin
2025	J	`jnl`	LFM2 Technical Report. CoRR 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
2025	J	`jnl`	On Iterative Evaluation and Enhancement of Code Quality Using GPT-4o. CoRR Rundong Liu, Andre Frade, Amal Vaidya, Maxime Labonne, Marcus Kaiser, Bismayan Chakrabarti, Jonathan Budd, Sean J. Moran
2025	J	`jnl`	Zero-Overhead Introspection for Adaptive Test-Time Compute. CoRR Rohin Manvi, Joey Hong, Tim Seyde, Maxime Labonne, Mathias Lechner, Sergey Levine
2024	J	`jnl`	Estimating class separability of text embeddings with persistent homology. Trans. Mach. Learn. Res. Kostis Gourgoulias, Najah Ghalyan, Maxime Labonne, Yash Satsangi, Sean J. Moran, Joseph Sabelja
2024	J	`jnl`	Merging in a Bottle: Differentiable Adaptive Merging (DAM) and the Path from Averaging to Automation. CoRR Thomas Gauthier-Caron, Shamane Siriwardhana, Elliot Stein, Malikeh Ehghaghi, Charles Goddard, Mark McQuade, Jacob Solawetz, Maxime Labonne
2024	J	`jnl`	The path forward for large language models in medicine is open. npj Digit. Medicine Lars Riedemann, Maxime Labonne, Stephen Gilbert
2023	J	`jnl`	An Unsupervised Method for Estimating Class Separability of Datasets with Application to LLMs Fine-Tuning. CoRR Najah Ghalyan, Kostis Gourgoulias, Yash Satsangi, Sean J. Moran, Maxime Labonne, Joseph Sabelja
2023	J	`jnl`	Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection. CoRR Maxime Labonne, Sean J. Moran
2022	—	`conf`	Dynamic Link Network Emulation and Validation of Execution Datasets. ENASE (Selected Papers) Erick Petersen, Jorge López, Natalia Kushik, Maxime Labonne, Claude Poletti, Djamal Zeghlache
2021	J	`jnl`	Predicting Bandwidth Utilization on Network Links Using Machine Learning. CoRR Maxime Labonne, Charalampos Chatzinakis, Alexis Olivereau
2021	—	`conf`	Toward Formal Data Set Verification for Building Effective Machine Learning Models. KDIR Jorge López, Maxime Labonne, Claude Poletti
2021	J	`jnl`	Toward Formal Data Set Verification for Building Effective Machine Learning Models. CoRR Jorge López, Maxime Labonne, Claude Poletti
2021	C	`conf`	WIP: Short-Term Flow-Based Bandwidth Forecasting using Machine Learning. WOWMOM Maxime Labonne, Jorge López, Claude Poletti, Jean-Baptiste Munier
2020	—	`—`	Anomaly-based network intrusion detection using machine learning. (Détection d'intrusion réseau par anomalies avec apprentissage automatique). Maxime Labonne
2020	—	`conf`	Predicting Bandwidth Utilization on Network Links Using Machine Learning. EuCNC Maxime Labonne, Charalampos Chatzinakis, Alexis Olivereau
2020	B	`conf`	Priority Flow Admission and Routing in SDN: Exact and Heuristic Approaches. NCA Jorge López, Maxime Labonne, Claude Poletti, Dallal Belabed
2020	J	`jnl`	Priority Flow Admission and Routing in SDN: Exact and Heuristic Approaches. CoRR Jorge López, Maxime Labonne, Claude Poletti, Dallal Belabed
2020	J	`jnl`	Short-Term Flow-Based Bandwidth Forecasting using Machine Learning. CoRR Maxime Labonne, Jorge López, Claude Poletti, Jean-Baptiste Munier
2020	Misc	`conf`	Unsupervised Protocol-based Intrusion Detection for Real-world Networks. ICNC Maxime Labonne, Alexis Olivereau, Baptiste Polvé, Djamal Zeghlache
2019	—	`conf`	A Cascade-structured Meta-Specialists Approach for Neural Network-based Intrusion Detection. CCNC Maxime Labonne, Alexis Olivereau, Baptiste Polvé, Djamal Zeghlache
2018	—	`conf`	Anomaly Detection in Vehicle-to-Infrastructure Communications. VTC Spring Michele Russo, Maxime Labonne, Alexis Olivereau, Mohammad Rmayti