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2020 – today
- 2024
[j9]Aldo Moscatelli, Jason Piquenot
, Maxime Bérar, Pierre Héroux, Sébastien Adam:
Graph node matching for edit distance. Pattern Recognit. Lett. 184: 14-20 (2024)- [c15]Mohamad Dhaini, Maxime Berar, Paul Honeine, Antonin Van Exem:
Contrastive Learning for Regression on Hyperspectral Data. ICASSP 2024: 5080-5084 - [c14]Jason Piquenot, Aldo Moscatelli, Maxime Berar, Pierre Héroux, Romain Raveaux, Jean-Yves Ramel, Sébastien Adam:
G2N2 : Weisfeiler and Lehman go grammatical. ICLR 2024 - [i12]Mohamad Dhaini, Maxime Berar, Paul Honeine, Antonin Van Exem:
Contrastive Learning for Regression on Hyperspectral Data. CoRR abs/2403.17014 (2024) - [i11]Mokhtar Z. Alaya, Alain Rakotomamonjy, Maxime Berar, Gilles Gasso:
Gaussian-Smoothed Sliced Probability Divergences. CoRR abs/2404.03273 (2024) - [i10]Jason Piquenot, Maxime Bérar, Pierre Héroux, Jean-Yves Ramel, Romain Raveaux, Sébastien Adam:
Finding path and cycle counting formulae in graphs with Deep Reinforcement Learning. CoRR abs/2410.01661 (2024) - 2023
- [j8]Paul Peseux, Maxime Berar, Thierry Paquet, Victor Nicollet:
Selective Path Automatic Differentiation: Beyond Uniform Distribution on Backpropagation Dropout. IEEE Access 11: 136552-136564 (2023) - [j7]Mohamad Dhaini, Maxime Berar, Paul Honeine, Antonin Van Exem:
Unsupervised domain adaptation for regression using dictionary learning. Knowl. Based Syst. 267: 110439 (2023) - [i9]Jason Piquenot, Aldo Moscatelli, Maxime Bérar, Pierre Héroux, Jean-Yves Ramel, Romain Raveaux, Sébastien Adam:
Technical report: Graph Neural Networks go Grammatical. CoRR abs/2303.01590 (2023) - 2022
- [j6]Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy:
Theoretical guarantees for bridging metric measure embedding and optimal transport. Neurocomputing 468: 416-430 (2022) - [j5]Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, M. El Alaya, Maxime Berar, Nicolas Courty:
Optimal transport for conditional domain matching and label shift. Mach. Learn. 111(5): 1651-1670 (2022) - [j4]Mohamad Dhaini, Maxime Berar, Paul Honeine, Antonin Van Exem:
End-to-End Convolutional Autoencoder for Nonlinear Hyperspectral Unmixing. Remote. Sens. 14(14): 3341 (2022) - [i8]Paul Peseux, Maxime Berar, Thierry Paquet, Victor Nicollet:
Stochastic gradient descent with gradient estimator for categorical features. CoRR abs/2209.03771 (2022) - 2021
- [i7]Mokhtar Z. Alaya, Gilles Gasso, Maxime Berar, Alain Rakotomamonjy:
Distributional Sliced Embedding Discrepancy for Incomparable Distributions. CoRR abs/2106.02542 (2021) - [i6]Alain Rakotomamonjy, Mokhtar Z. Alaya, Maxime Berar, Gilles Gasso:
Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences. CoRR abs/2110.10524 (2021) - 2020
- [i5]Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy:
Non-Aligned Distribution Distance using Metric Measure Embedding and Optimal Transport. CoRR abs/2002.08314 (2020) - [i4]Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Mokhtar Z. Alaya, Maxime Berar, Nicolas Courty:
Match and Reweight Strategy for Generalized Target Shift. CoRR abs/2006.08161 (2020)
2010 – 2019
- 2019
- [j3]Abraham Traoré, Maxime Berar, Alain Rakotomamonjy:
Online multimodal dictionary learning. Neurocomputing 368: 163-179 (2019) - [c13]Abraham Traoré, Maxime Berar, Alain Rakotomamonjy:
Singleshot : a scalable Tucker tensor decomposition. NeurIPS 2019: 6301-6312 - [c12]Mokhtar Z. Alaya, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy:
Screening Sinkhorn Algorithm for Regularized Optimal Transport. NeurIPS 2019: 12169-12179 - [i3]Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy:
Screening Sinkhorn Algorithm for Regularized Optimal Transport. CoRR abs/1906.08540 (2019) - 2018
- [c11]Naouel Boughattas, Maxime Berar, Kamel Hamrouni, Su Ruan:
Feature selection and classification using multiple kernel learning for brain tumor segmentation. ATSIP 2018: 1-5 - [c10]Abraham Traoré, Maxime Berar, Alain Rakotomamonjy:
Non-Negative Tensor Dictionary Learning. ESANN 2018 - [i2]Alain Rakotomamonjy, Abraham Traoré, Maxime Berar, Rémi Flamary, Nicolas Courty:
Wasserstein Distance Measure Machines. CoRR abs/1803.00250 (2018) - 2016
- [c9]Ikko Yamane, Florian Yger, Maxime Berar, Masashi Sugiyama:
Multitask Principal Component Analysis. ACML 2016: 302-317 - 2014
- [c8]Naouel Boughattas, Maxime Berar, Kamel Hamrouni, Su Ruan:
Brain tumor segmentation from multiple MRI sequences using multiple kernel learning. ICIP 2014: 1887-1891 - 2012
- [c7]Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy:
Oblique principal subspace tracking on manifold. ICASSP 2012: 2429-2432 - [c6]Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy:
Adaptive Canonical Correlation Analysis Based On Matrix Manifolds. ICML 2012 - [i1]Maxime Berar, Françoise Tilotta, Joan Alexis Glaunès, Yves Rozenholc:
Craniofacial reconstruction as a prediction problem using a Latent Root Regression model. CoRR abs/1202.2703 (2012) - 2011
- [c5]Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy:
A supervised strategy for deep kernel machine. ESANN 2011
2000 – 2009
- 2006
- [j2]Maxime Berar, Michel Desvignes, Gérard Bailly, Yohan Payan:
3D Semi-Landmarks Based Statistical Face Reconstruction. J. Comput. Inf. Technol. 14(1): 31-43 (2006) - [c4]Maxime Berar, Michel Desvignes, Gérard Bailly, Yohan Payan:
Statistical 3D Cranio-Facial Models. CIT 2006: 125 - 2005
- [c3]Maxime Berar, Michel Desvignes, Gérard Bailly, Yohan Payan, Barbara Romaniuk:
Missing Data Estimation Using Polynomial Kernels. ICAPR (1) 2005: 390-399 - 2004
- [c2]S. Aouda, Maxime Berar, Barbara Romaniuk, Michel Desvignes:
Supervised and Unsupervised Statistical Models for cephalometry. ICCVG 2004: 900-905 - [c1]Maxime Berar, Michel Desvignes, Gérard Bailly, Yohan Payan:
3D Meshes Registration: Application to Statistical Skull Model. ICIAR (2) 2004: 100-107 - 2003
- [j1]Gérard Bailly, Maxime Berar, Frédéric Elisei, Matthias Odisio:
Audiovisual Speech Synthesis. Int. J. Speech Technol. 6(4): 331-346 (2003)
Coauthor Index
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last updated on 2024-11-11 22:25 CET by the dblp team
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