Maxime Berar - RankMe

38 papers A* 5B 4C 2Misc 4Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Spectral-Spatial Contrastive Learning Framework for Regression on Hyperspectral Data. CoRR Mohamad Dhaini, Paul Honeine, Maxime Berar, Antonin Van Exem
2025	B	`conf`	Deep Joint Distribution Optimal Transport for Universal Domain Adaptation on Time Series. IJCNN Romain Mussard, Fannia Pacheco, Maxime Berar, Gilles Gasso, Paul Honeine
2025	A*	`conf`	Grammar Reinforcement Learning: path and cycle counting in graphs with a Context-Free Grammar and Transformer approach. ICLR Jason Piquenot, Maxime Berar, Romain Raveaux, Pierre Héroux, Jean-Yves Ramel, Sébastien Adam
2025	J	`jnl`	Optimal Transport and Adaptive Thresholding for Universal Domain Adaptation on Time Series. CoRR Romain Mussard, Fannia Pacheco, Maxime Berar, Gilles Gasso, Paul Honeine
2025	J	`jnl`	Support Vector Machines With Uncertainty Option and Incremental Sampling for Kriging. Expert Syst. J. Knowl. Eng. Chen Xiong, Paul Honeine, Maxime Berar, Antonin Van Exem
2025	—	`conf`	Universal Domain Adaptation Benchmark for Time Series Data Representation. EUSIPCO Romain Mussard, Fannia Pacheco, Maxime Berar, Gilles Gasso, Paul Honeine
2025	J	`jnl`	Universal Domain Adaptation Benchmark for Time Series Data Representation. CoRR Romain Mussard, Fannia Pacheco, Maxime Berar, Gilles Gasso, Paul Honeine
2024	Misc	`conf`	Contrastive Learning for Regression on Hyperspectral Data. ICASSP Mohamad Dhaini, Maxime Berar, Paul Honeine, Antonin Van Exem
2024	J	`jnl`	Contrastive Learning for Regression on Hyperspectral Data. CoRR Mohamad Dhaini, Maxime Berar, Paul Honeine, Antonin Van Exem
2024	A*	`conf`	G2N2 : Weisfeiler and Lehman go grammatical. ICLR Jason Piquenot, Aldo Moscatelli, Maxime Berar, Pierre Héroux, Romain Raveaux, Jean-Yves Ramel, Sébastien Adam
2024	J	`jnl`	Gaussian-Smoothed Sliced Probability Divergences. CoRR Mokhtar Z. Alaya, Alain Rakotomamonjy, Maxime Berar, Gilles Gasso
2024	J	`jnl`	Gaussian-Smoothed Sliced Probability Divergences. Trans. Mach. Learn. Res. Mokhtar Z. Alaya, Alain Rakotomamonjy, Maxime Berar, Gilles Gasso
2023	J	`jnl`	Selective Path Automatic Differentiation: Beyond Uniform Distribution on Backpropagation Dropout. IEEE Access Paul Peseux, Maxime Berar, Thierry Paquet, Victor Nicollet
2023	J	`jnl`	Unsupervised domain adaptation for regression using dictionary learning. Knowl. Based Syst. Mohamad Dhaini, Maxime Berar, Paul Honeine, Antonin Van Exem
2022	J	`jnl`	End-to-End Convolutional Autoencoder for Nonlinear Hyperspectral Unmixing. Remote. Sens. Mohamad Dhaini, Maxime Berar, Paul Honeine, Antonin Van Exem
2022	J	`jnl`	Optimal transport for conditional domain matching and label shift. Mach. Learn. Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, M. El Alaya, Maxime Berar, Nicolas Courty
2022	J	`jnl`	Stochastic gradient descent with gradient estimator for categorical features. CoRR Paul Peseux, Maxime Berar, Thierry Paquet, Victor Nicollet
2021	J	`jnl`	Distributional Sliced Embedding Discrepancy for Incomparable Distributions. CoRR Mokhtar Z. Alaya, Gilles Gasso, Maxime Berar, Alain Rakotomamonjy
2021	J	`jnl`	Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences. CoRR Alain Rakotomamonjy, Mokhtar Z. Alaya, Maxime Berar, Gilles Gasso
2020	J	`jnl`	Match and Reweight Strategy for Generalized Target Shift. CoRR Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Mokhtar Z. Alaya, Maxime Berar, Nicolas Courty
2019	J	`jnl`	Online multimodal dictionary learning. Neurocomputing Abraham Traoré, Maxime Berar, Alain Rakotomamonjy
2019	A*	`conf`	Screening Sinkhorn Algorithm for Regularized Optimal Transport. NeurIPS Mokhtar Z. Alaya, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy
2019	A*	`conf`	Singleshot : a scalable Tucker tensor decomposition. NeurIPS Abraham Traoré, Maxime Berar, Alain Rakotomamonjy
2018	Misc	`conf`	Feature selection and classification using multiple kernel learning for brain tumor segmentation. ATSIP Naouel Boughattas, Maxime Berar, Kamel Hamrouni, Su Ruan
2018	B	`conf`	Non-Negative Tensor Dictionary Learning. ESANN Abraham Traoré, Maxime Berar, Alain Rakotomamonjy
2018	J	`jnl`	Wasserstein Distance Measure Machines. CoRR Alain Rakotomamonjy, Abraham Traoré, Maxime Berar, Rémi Flamary, Nicolas Courty
2016	C	`conf`	Multitask Principal Component Analysis. ACML Ikko Yamane, Florian Yger, Maxime Berar, Masashi Sugiyama
2014	B	`conf`	Brain tumor segmentation from multiple MRI sequences using multiple kernel learning. ICIP Naouel Boughattas, Maxime Berar, Kamel Hamrouni, Su Ruan
2012	A*	`conf`	Adaptive Canonical Correlation Analysis Based On Matrix Manifolds. ICML Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy
2012	J	`jnl`	Craniofacial reconstruction as a prediction problem using a Latent Root Regression model CoRR Maxime Berar, Françoise Tilotta, Joan Alexis Glaunès, Yves Rozenholc
2012	Misc	`conf`	Oblique principal subspace tracking on manifold. ICASSP Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy
2011	B	`conf`	A supervised strategy for deep kernel machine. ESANN Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy
2006	J	`jnl`	3D Semi-Landmarks Based Statistical Face Reconstruction. J. Comput. Inf. Technol. Maxime Berar, Michel Desvignes, Gérard Bailly, Yohan Payan
2006	C	`conf`	Statistical 3D Cranio-Facial Models. CIT Maxime Berar, Michel Desvignes, Gérard Bailly, Yohan Payan
2005	—	`conf`	Missing Data Estimation Using Polynomial Kernels. ICAPR (1) Maxime Berar, Michel Desvignes, Gérard Bailly, Yohan Payan, Barbara Romaniuk
2004	—	`conf`	3D Meshes Registration: Application to Statistical Skull Model. ICIAR (2) Maxime Berar, Michel Desvignes, Gérard Bailly, Yohan Payan
2004	Misc	`conf`	Supervised and Unsupervised Statistical Models for cephalometry. ICCVG S. Aouda, Maxime Berar, Barbara Romaniuk, Michel Desvignes
2003	J	`jnl`	Audiovisual Speech Synthesis. Int. J. Speech Technol. Gérard Bailly, Maxime Berar, Frédéric Elisei, Matthias Odisio