Maxime Berar

According to our database1, Maxime Berar authored at least 30 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Contrastive Learning for Regression on Hyperspectral Data.
CoRR, 2024

2023
Unsupervised domain adaptation for regression using dictionary learning.
Knowl. Based Syst., 2023

Technical report: Graph Neural Networks go Grammatical.
CoRR, 2023

Selective Path Automatic Differentiation: Beyond Uniform Distribution on Backpropagation Dropout.
IEEE Access, 2023

2022
End-to-End Convolutional Autoencoder for Nonlinear Hyperspectral Unmixing.
Remote. Sens., 2022

Optimal transport for conditional domain matching and label shift.
Mach. Learn., 2022

Theoretical guarantees for bridging metric measure embedding and optimal transport.
Neurocomputing, 2022

Stochastic gradient descent with gradient estimator for categorical features.
CoRR, 2022

2021
Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences.
CoRR, 2021

Distributional Sliced Embedding Discrepancy for Incomparable Distributions.
CoRR, 2021

2020
Match and Reweight Strategy for Generalized Target Shift.
CoRR, 2020

Non-Aligned Distribution Distance using Metric Measure Embedding and Optimal Transport.
CoRR, 2020

2019
Online multimodal dictionary learning.
Neurocomputing, 2019

Singleshot : a scalable Tucker tensor decomposition.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Screening Sinkhorn Algorithm for Regularized Optimal Transport.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Wasserstein Distance Measure Machines.
CoRR, 2018

Non-Negative Tensor Dictionary Learning.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Feature selection and classification using multiple kernel learning for brain tumor segmentation.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

2016
Multitask Principal Component Analysis.
Proceedings of The 8th Asian Conference on Machine Learning, 2016

2014
Brain tumor segmentation from multiple MRI sequences using multiple kernel learning.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2012
Craniofacial reconstruction as a prediction problem using a Latent Root Regression model
CoRR, 2012

Adaptive Canonical Correlation Analysis Based On Matrix Manifolds.
Proceedings of the 29th International Conference on Machine Learning, 2012

Oblique principal subspace tracking on manifold.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
A supervised strategy for deep kernel machine.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2006
3D Semi-Landmarks Based Statistical Face Reconstruction.
J. Comput. Inf. Technol., 2006

Statistical 3D Cranio-Facial Models.
Proceedings of the Sixth International Conference on Computer and Information Technology (CIT 2006), 2006

2005
Missing Data Estimation Using Polynomial Kernels.
Proceedings of the Pattern Recognition and Data Mining, 2005

2004
3D Meshes Registration: Application to Statistical Skull Model.
Proceedings of the Image Analysis and Recognition: International Conference, 2004

Supervised and Unsupervised Statistical Models for cephalometry.
Proceedings of the International Conference on Computer Vision and Graphics, 2004

2003
Audiovisual Speech Synthesis.
Int. J. Speech Technol., 2003


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