Eduardo Fernandes Montesuma

According to our database, Eduardo Fernandes Montesuma authored at least 18 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

KD²M: An unifying framework for feature knowledge distillation.

Eduardo Fernandes Montesuma

CoRR, April, 2025

Recent Advances in Optimal Transport for Machine Learning.

Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Antoine Souloumiac

IEEE Trans. Pattern Anal. Mach. Intell., February, 2025

A dimensionality reduction technique based on the Gromov-Wasserstein distance.

Rafael P. Eufrazio, Eduardo Fernandes Montesuma, Charles C. Cavalcante

CoRR, January, 2025

Optimal Transport for Domain Adaptation through Gaussian Mixture Models.

Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Antoine Souloumiac

Trans. Mach. Learn. Res., 2025

Unsupervised Anomaly Detection through Mass Repulsing Optimal Transport.

Eduardo Fernandes Montesuma, Adel El Habazi, Fred Maurice Ngolè Mboula

Trans. Mach. Learn. Res., 2025

Decentralized Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation.

Rebecca Clain, Eduardo Fernandes Montesuma, Fred Ngolè Mboula

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Multi-Source Domain Adaptation through Wasserstein Barycenters. (Adaptation de domaines multi-sources à l'aide des barycentres de Wasserstein).

Eduardo Fernandes Montesuma

PhD thesis, 2024

Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation.

Eduardo Fernandes Montesuma, Fabiola Espinoza Castellon, Fred Ngolè Mboula, Aurélien Mayoue, Antoine Souloumiac, Cédric Gouy-Pailler

CoRR, 2024

Lighter, Better, Faster Multi-source Domain Adaptation with Gaussian Mixture Models and Optimal Transport.

Eduardo Fernandes Montesuma, Fred Ngolè Mboula, Antoine Souloumiac

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Online Multi-Source Domain Adaptation Through Gaussian Mixtures and Dataset Dictionary Learning.

Eduardo Fernandes Montesuma, Stevan Le Stanc, Fred Ngolè Mboula

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Multi-Source Domain Adaptation Meets Dataset Distillation through Dataset Dictionary Learning.

Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Antoine Souloumiac

Proceedings of the IEEE International Conference on Acoustics, 2024

Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation.

Fabiola Espinoza Castellon, Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Aurélien Mayoue, Antoine Souloumiac, Cédric Gouy-Pailler

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation.

Fabiola Espinosa Castellon, Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Aurélien Mayoue, Antoine Souloumiac, Cédric Gouy-Pailler

CoRR, 2023

Multi-Source Domain Adaptation for Cross-Domain Fault Diagnosis of Chemical Processes.

Eduardo Fernandes Montesuma, Michela Mulas, Fred Maurice Ngolè Mboula, Francesco Corona, Antoine Souloumiac

CoRR, 2023

Multi-Source Domain Adaptation Through Dataset Dictionary Learning in Wasserstein Space.

Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Antoine Souloumiac

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2021

Wasserstein Barycenter Transport for Acoustic Adaptation.

Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula

Proceedings of the IEEE International Conference on Acoustics, 2021

Wasserstein Barycenter for Multi-Source Domain Adaptation.

Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Opendenoising: An Extensible Benchmark for Building Comparative Studies of Image Denoisers.

Florian Lemarchand, Eduardo Fernandes Montesuma, Maxime Pelcat, Erwan Nogues

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020