Guillaume Metzler

Research Topics

I am interested in Learning from imbalanced data with an application to bank fraud and anomaly detection by learning an appropriate representation of the data (Metric Learning), Cost Sensitive Learning technics or by optimizing appropriate measures for this context. More recentrly, I am also interested in topics like Domain Adaptation and Semi Definite Programming.

Publications

A list of all of my publications is available on my Google Scholar or on the publication page. Below you can find a list of representative paper which illustrate my work.

SigBERT: Combining Narrative Medical Reports and Rough Path Signature Theory for Survival Prediction in Oncology - P. Minchella, L. Verlingue, S. Chrétien, R. Vaucher, G. Metzler, In the 36th European Conference On Machine Learning & Principles and Pratice of Knowledge Discovery in Databases (ECML-PKDD), Porto, Portugual, September 2025

[Article]

When Quantization Affects Confidence of Large Language Models? - I. Proskurina, G. Metzler, J. Velcin
The 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT, 2024) , Mexico City, Mexico, June 2024

[Article]

Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data (IJCAI 2020) - R.Viola, R.Emonet, A.Habrard, G.Metzler and M.Sebban
In the 29th International Joint Conference on Artifical Intelligence (IJCAI), Yokohama, Japan, July 2020

[Article]   [Annexe]

From Cost-Sensitive Classification to Tight F-Measure Bounds (AISTATS 2019) - K.Bascol, R.Emonet, E.Fromont, A.Habrard, G.Metzler and M.Sebban
In Proceedings in The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS), Naha, Okinawa, Japan, April 2019

[Article]   [Supplementary]   [Poster]

Projects and Contracts

SMAD-CC (ShapeMed Lyon, ANR) , co-leader with L. Verlingue: SMArt Data for improved machine learning in Cancer Care (2024 - 2025)

ANR DIKé: Bias, fairness and ethics of compressed NLP models (2022 - 2025), Project Member

Projet inter-laboratoire FIL (Fédération Informatique de Lyon), co-leader with E. Morvant: PAC-Bayesian Fair Learning (2023-2024)

Projet inter-laboratoire FIL, co-leader with E. Morvant: Random Fourrier Features for PAC-Bayesian Domain Adaptation (2022)

ANR LIVES: Learning with interacting views (2019 - 2020) (Project Member, PostDoc)

PhD Supervisions

Julien Bastian , Approche théorique de l’apprentissage multimodal équitable , September 2025 - ..., Funded by ANR FAMOUS, Co-supervised with C. Largeron and E. Morvant

Irina Proskurina , Towards an Ethical Compression of Deep Learning Models - September 2022 - ...,Funded by ANR Diké, Co-supervised with J. Velcin

Eliz Peyraud , Modeling transplant outcomes from complex data , March 2022 - ..., CIFRE Thesis with IGL (Institut Georges Lopez), Co supervised with J. Jacques

Research Intern Students

Cédric Leclerc, Uncertainty Quantification in Machine Learning Using Conformal Prediction, Apr-Sep 2025, co-supervised with Emilie Morvant

Julien Bastian, Fairness and domain generalization, Mar-Aug 2024, co-supervised with E. Morvant

Hind Atbir, PAC-Bayesian Fair Learning, Feb-July 2024, co-supervised with F. Cherfaoui, E. Morvant and P. Viallard

Mickaël Gault , Learning fair kernel classifier under constraints , Mar-July 2024, co-supervised with E. Morvant

Julien Bastian , Random Fourier Features, PAC-Bayes and Domain Adaptation, Mar-July 2023, co-supervised with E. Morvant

Irina Proskurina , Towards an Ethical Compression of Deep Learning Models , Apr-Sep 2022

Alexiane Fraisse , Random Fourier Features and Domain Adaptation , Apr-July 2022, co-supervised with E. Morvant and P. Viallard

COrganization and Program Committe Member

Organization Committe Member

Conférence sur l'Apprentissage Automatique (CAp) : 2021

Extraction et Gestion des Connaissances (EGC) : 2023

Multidisciplinary International Social Networks Conference (MISNC) : 2018

Program Comittee Member

Extraction et Gestion des Connaissances (EGC) : 2022

International Conference on Information Management and Big Data (SIMBig) : 2022

Reviews

Conferences

International Conference on Artificial Intelligence, Information Processing and Cloud Computing (AIIPCC) : 2019

International Conference on Artificial Intelligence and Statistics (AISTATS) : 2019

European Conference on Machine Learning (ECML) : 2017, 2018

Extraction et Gestion des Connaissances (EGC) : 2022

International Journals

Applied Stochastic Models in Business Industry (ASMB) : 2020

Expert Systems With Applications (ESWA) : 2021

Electronics (MDPI) : 2021

Mathematics (MDPI) : 2021

Pattern Recognition Letter (PRL) : 2021

Transactions on Pattern Analysis and Machine Learning (TPAMI) : 2021

Administration

Co-Responsible of Scientific Seminars - ERIC Laboratory with Mohamed-Lamine MESSAI (2022 - ...)