Audiovisual Speech Synthesis. - Gérard Bailly; Maxime Berar; Frédéric Elisei; Matthias Odisio (Int. J. Speech Technol., 2003)

Supervised and Unsupervised Statistical Models for cephalometry. - S. Aouda; Maxime Berar; Barbara Romaniuk; Michel Desvignes (ICCVG, 2004)

3D Meshes Registration: Application to Statistical Skull Model. - Maxime Berar; Michel Desvignes; Gérard Bailly; Yohan Payan (ICIAR (2), 2004)

Missing Data Estimation Using Polynomial Kernels. - Maxime Berar; Michel Desvignes; Gérard Bailly; Yohan Payan; Barbara Romaniuk (ICAPR (1), 2005)

Statistical 3D Cranio-Facial Models. - Maxime Berar; Michel Desvignes; Gérard Bailly; Yohan Payan (CIT, 2006)

3D Semi-Landmarks Based Statistical Face Reconstruction. - Maxime Berar; Michel Desvignes; Gérard Bailly; Yohan Payan (J. Comput. Inf. Technol., 2006)

A supervised strategy for deep kernel machine. - Florian Yger; Maxime Berar; Gilles Gasso; Alain Rakotomamonjy (ESANN, 2011)

Oblique principal subspace tracking on manifold. - Florian Yger; Maxime Berar; Gilles Gasso; Alain Rakotomamonjy (ICASSP, 2012)

Adaptive Canonical Correlation Analysis Based On Matrix Manifolds. - Florian Yger; Maxime Berar; Gilles Gasso; Alain Rakotomamonjy (ICML, 2012)

Craniofacial reconstruction as a prediction problem using a Latent Root Regression model - Maxime Berar; Françoise Tilotta; Joan Alexis Glaunès; Yves Rozenholc (CoRR, 2012)

Brain tumor segmentation from multiple MRI sequences using multiple kernel learning. - Naouel Boughattas; Maxime Berar; Kamel Hamrouni; Su Ruan (ICIP, 2014)

Multitask Principal Component Analysis. - Ikko Yamane; Florian Yger; Maxime Berar; Masashi Sugiyama (ACML, 2016)

Feature selection and classification using multiple kernel learning for brain tumor segmentation. - Naouel Boughattas; Maxime Berar; Kamel Hamrouni; Su Ruan (ATSIP, 2018)

Non-Negative Tensor Dictionary Learning. - Abraham Traoré; Maxime Berar; Alain Rakotomamonjy (ESANN, 2018)

Wasserstein Distance Measure Machines. - Alain Rakotomamonjy; Abraham Traoré; Maxime Berar; Rémi Flamary; Nicolas Courty (CoRR, 2018)

Screening Sinkhorn Algorithm for Regularized Optimal Transport. - Mokhtar Z. Alaya; Maxime Berar; Gilles Gasso; Alain Rakotomamonjy (NeurIPS, 2019)

Singleshot : a scalable Tucker tensor decomposition. - Abraham Traoré; Maxime Berar; Alain Rakotomamonjy (NeurIPS, 2019)

Online multimodal dictionary learning. - Abraham Traoré; Maxime Berar; Alain Rakotomamonjy (Neurocomputing, 2019)

Non-Aligned Distribution Distance using Metric Measure Embedding and Optimal Transport. - Mokhtar Z. Alaya; Maxime Bérar; Gilles Gasso; Alain Rakotomamonjy (CoRR, 2020)

Match and Reweight Strategy for Generalized Target Shift. - Alain Rakotomamonjy; Rémi Flamary; Gilles Gasso; Mokhtar Z. Alaya; Maxime Berar; Nicolas Courty (CoRR, 2020)

Distributional Sliced Embedding Discrepancy for Incomparable Distributions. - Mokhtar Z. Alaya; Gilles Gasso; Maxime Berar; Alain Rakotomamonjy (CoRR, 2021)

Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences. - Alain Rakotomamonjy; Mokhtar Z. Alaya; Maxime Berar; Gilles Gasso (CoRR, 2021)

Stochastic gradient descent with gradient estimator for categorical features. - Paul Peseux; Maxime Berar; Thierry Paquet; Victor Nicollet (CoRR, 2022)

Theoretical guarantees for bridging metric measure embedding and optimal transport. - Mokhtar Z. Alaya; Maxime Bérar; Gilles Gasso; Alain Rakotomamonjy (Neurocomputing, 2022)

Optimal transport for conditional domain matching and label shift. - Alain Rakotomamonjy; Rémi Flamary; Gilles Gasso; M. El Alaya; Maxime Berar; Nicolas Courty (Mach. Learn., 2022)

End-to-End Convolutional Autoencoder for Nonlinear Hyperspectral Unmixing. - Mohamad Dhaini; Maxime Berar; Paul Honeine; Antonin Van Exem (Remote. Sens., 2022)

Selective Path Automatic Differentiation: Beyond Uniform Distribution on Backpropagation Dropout. - Paul Peseux; Maxime Berar; Thierry Paquet; Victor Nicollet (IEEE Access, 2023)

Technical report: Graph Neural Networks go Grammatical. - Jason Piquenot; Aldo Moscatelli; Maxime Bérar; Pierre Héroux; Jean-Yves Ramel; Romain Raveaux; Sébastien Adam (CoRR, 2023)

Unsupervised domain adaptation for regression using dictionary learning. - Mohamad Dhaini; Maxime Berar; Paul Honeine; Antonin Van Exem (Knowl. Based Syst., 2023)

Contrastive Learning for Regression on Hyperspectral Data. - Mohamad Dhaini; Maxime Berar; Paul Honeine; Antonin Van Exem (ICASSP, 2024)

G2N2 : Weisfeiler and Lehman go grammatical. - Jason Piquenot; Aldo Moscatelli; Maxime Berar; Pierre Héroux; Romain Raveaux; Jean-Yves Ramel; Sébastien Adam (ICLR, 2024)

Finding path and cycle counting formulae in graphs with Deep Reinforcement Learning. - Jason Piquenot; Maxime Bérar; Pierre Héroux; Jean-Yves Ramel; Romain Raveaux; Sébastien Adam (CoRR, 2024)

Graph node matching for edit distance. - Aldo Moscatelli; Jason Piquenot; Maxime Bérar; Pierre Héroux; Sébastien Adam (Pattern Recognit. Lett., 2024)

Gaussian-Smoothed Sliced Probability Divergences. - Mokhtar Z. Alaya; Alain Rakotomamonjy; Maxime Berar; Gilles Gasso (Trans. Mach. Learn. Res., 2024)

Grammatical Path Network: Unveiling Cycles Through Path Computation. - Jason Piquenot; Louisa Bouzidi; Maxime Bérar; Pierre Héroux; Jean-Yves Ramel; Romain Raveaux; Sébastien Adam (GbRPR, 2025)

Grammar Reinforcement Learning: path and cycle counting in graphs with a Context-Free Grammar and Transformer approach. - Jason Piquenot; Maxime Berar; Romain Raveaux; Pierre Héroux; Jean-Yves Ramel; Sébastien Adam (ICLR, 2025)

Support Vector Machines With Uncertainty Option and Incremental Sampling for Kriging. - Chen Xiong; Paul Honeine; Maxime Berar; Antonin Van Exem (Expert Syst. J. Knowl. Eng., 2025)

Optimal Transport and Adaptive Thresholding for Universal Domain Adaptation on Time Series. - Romain Mussard; Fannia Pacheco; Maxime Berar; Gilles Gasso; Paul Honeine (CoRR, 2025)

Universal Domain Adaptation Benchmark for Time Series Data Representation. - Romain Mussard; Fannia Pacheco; Maxime Berar; Gilles Gasso; Paul Honeine (CoRR, 2025)