Text-based CAPTCHA strengths and weaknesses. - Elie Bursztein; Matthieu Martin; John C. Mitchell (CCS, 2011)

Sequential Emboli Detection From Ultrasound Outpatient Data. - Blaise Kévin Guépié; Matthieu Martin; Victor Lacrosaz; Marilys Almar; Benoit Guibert; Philippe Delachartre (IEEE J. Biomed. Health Informatics, 2019)

Reconstruction 3D de données échographiques du cerveau du prématuré et segmentation des ventricules cérébraux et thalami par apprentissage supervisé. (3D reconstruction of brain ultrasound data from premature infants and segmentation of cerebral ventricular system and thalami using supervised learning). - Matthieu Martin (2019)

Priority U-Net: Detection of Punctuate White Matter Lesions in Preterm Neonate in 3D Cranial Ultrasonography. - Pierre Erbacher; Carole Lartizien; Matthieu Martin; Pedro Foletto-Pimenta; Philippe Quetin; Philippe Delachartre (MIDL, 2020)

Online Non-Convex Optimization with Imperfect Feedback. - Amélie Héliou; Matthieu Martin; Panayotis Mertikopoulos; Thibaud Rahier (NeurIPS, 2020)

Optimization Approaches for Counterfactual Risk Minimization with Continuous Actions. - Houssam Zenati; Alberto Bietti; Matthieu Martin; Eustache Diemert; Julien Mairal (CoRR, 2020)

Individual Treatment Effect Estimation in a Low Compliance Setting. - Thibaud Rahier; Amélie Héliou; Matthieu Martin; Christophe Renaudin; Eustache Diemert (CoRR, 2020)

Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging. - Amélie Héliou; Matthieu Martin; Panayotis Mertikopoulos; Thibaud Rahier (ICML, 2021)

Individual Treatment Prescription Effect Estimation in a Low Compliance Setting. - Thibaud Rahier; Amélie Héliou; Matthieu Martin; Christophe Renaudin; Eustache Diemert (KDD, 2021)

Automatic segmentation and location learning of neonatal cerebral ventricles in 3D ultrasound data combining CNN and CPPN. - Matthieu Martin; Bruno Sciolla; Michaël Sdika; Philippe Quetin; Philippe Delachartre (Comput. Biol. Medicine, 2021)

Decoding ECoG signal into 3D hand translation using deep learning. - Maciej Sliwowski; Matthieu Martin; Antoine Souloumiac; Pierre Blanchart; Tetiana Aksenova (CoRR, 2021)

PDE-Constrained Optimal Control Problems with Uncertain Parameters using SAGA. - Matthieu Martin; Fabio Nobile (SIAM/ASA J. Uncertain. Quantification, 2021)

Deep Learning for ECoG Brain-Computer Interface: End-to-End vs. Hand-Crafted Features. - Maciej Sliwowski; Matthieu Martin; Antoine Souloumiac; Pierre Blanchart; Tetiana Aksenova (AI*IA, 2022)

Efficient Kernelized UCB for Contextual Bandits. - Houssam Zenati; Alberto Bietti; Eustache Diemert; Julien Mairal; Matthieu Martin; Pierre Gaillard (AISTATS, 2022)

Nested Bandits. - Matthieu Martin; Panayotis Mertikopoulos; Thibaud Rahier; Houssam Zenati (ICML, 2022)

Efficient Kernel UCB for Contextual Bandits. - Houssam Zenati; Alberto Bietti; Eustache Diemert; Julien Mairal; Matthieu Martin; Pierre Gaillard (CoRR, 2022)

Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance. - Maciej Sliwowski; Matthieu Martin; Antoine Souloumiac; Pierre Blanchart; Tetiana Aksenova (CoRR, 2022)

Sequential Counterfactual Risk Minimization. - Houssam Zenati; Eustache Diemert; Matthieu Martin; Julien Mairal; Pierre Gaillard (ICML, 2023)

Counterfactual Learning of Stochastic Policies with Continuous Actions. - Houssam Zenati; Alberto Bietti; Matthieu Martin; Eustache Diemert; Pierre Gaillard; Julien Mairal (Trans. Mach. Learn. Res., 2025)