Eduardo Fernandes Montesuma

32 papers A* 1A 1Misc 5Journal 19Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
A Dimensionality Reduction Technique Based on the Gromov-Wasserstein Distance.
GSI (2)
Rafael P. Eufrazio, Eduardo Fernandes Montesuma, Charles Casimiro Cavalcante
2025 J jnl
A dimensionality reduction technique based on the Gromov-Wasserstein distance.
CoRR
Rafael P. Eufrazio, Eduardo Fernandes Montesuma, Charles C. Cavalcante
2025 J jnl
Computing Wasserstein Barycenters through Gradient Flows.
CoRR
Eduardo Fernandes Montesuma, Yassir Bendou, Mike Gartrell
2025 Misc conf
Decentralized Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation.
ICASSP
Rebecca Clain, Eduardo Fernandes Montesuma, Fred Ngolè Mboula
2025 J jnl
Decentralized Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation.
CoRR
Rebecca Clain, Eduardo Fernandes Montesuma, Fred Ngolè Mboula
2025 — conf
KD
GSI (2)
Eduardo Fernandes Montesuma
2025 J jnl
KD
CoRR
Eduardo Fernandes Montesuma
2025 J jnl
Optimal Transport for Domain Adaptation through Gaussian Mixture Models.
Trans. Mach. Learn. Res.
Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Antoine Souloumiac
2025 J jnl
ReBaPL: Repulsive Bayesian Prompt Learning.
CoRR
Yassir Bendou, Omar Ezzahir, Eduardo Fernandes Montesuma, Gabriel Mahuas, Victoria Shevchenko, Mike Gartrell
2025 J jnl
Recent Advances in Optimal Transport for Machine Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Antoine Souloumiac
2025 J jnl
Unsupervised Anomaly Detection through Mass Repulsing Optimal Transport.
CoRR
Eduardo Fernandes Montesuma, Adel El Habazi, Fred Ngolè Mboula
2025 J jnl
Unsupervised Anomaly Detection through Mass Repulsing Optimal Transport.
Trans. Mach. Learn. Res.
Eduardo Fernandes Montesuma, Adel El Habazi, Fred Maurice Ngolè Mboula
2024 J jnl
Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation.
CoRR
Eduardo Fernandes Montesuma, Fabiola Espinoza Castellon, Fred Ngolè Mboula, Aurélien Mayoue, Antoine Souloumiac, Cédric Gouy-Pailler
2024 Misc conf
Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation.
ICASSP
Fabiola Espinoza Castellon, Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Aurélien Mayoue, Antoine Souloumiac, Cédric Gouy-Pailler
2024 J jnl
Lighter, Better, Faster Multi-Source Domain Adaptation with Gaussian Mixture Models and Optimal Transport.
CoRR
Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Antoine Souloumiac
2024 — conf
Lighter, Better, Faster Multi-source Domain Adaptation with Gaussian Mixture Models and Optimal Transport.
ECML/PKDD (6)
Eduardo Fernandes Montesuma, Fred Ngolè Mboula, Antoine Souloumiac
2024 Misc conf
Multi-Source Domain Adaptation Meets Dataset Distillation through Dataset Dictionary Learning.
ICASSP
Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Antoine Souloumiac
2024 — —
Multi-Source Domain Adaptation through Wasserstein Barycenters. (Adaptation de domaines multi-sources à l'aide des barycentres de Wasserstein).
Eduardo Fernandes Montesuma
2024 — conf
Online Multi-Source Domain Adaptation Through Gaussian Mixtures and Dataset Dictionary Learning.
MLSP
Eduardo Fernandes Montesuma, Stevan Le Stanc, Fred Ngolè Mboula
2024 J jnl
Online Multi-Source Domain Adaptation through Gaussian Mixtures and Dataset Dictionary Learning.
CoRR
Eduardo Fernandes Montesuma, Stevan Le Stanc, Fred Maurice Ngolè Mboula
2024 J jnl
Optimal Transport for Domain Adaptation through Gaussian Mixture Models.
CoRR
Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Antoine Souloumiac
2023 J jnl
Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation.
CoRR
Fabiola Espinosa Castellon, Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Aurélien Mayoue, Antoine Souloumiac, Cédric Gouy-Pailler
2023 A conf
Multi-Source Domain Adaptation Through Dataset Dictionary Learning in Wasserstein Space.
ECAI
Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Antoine Souloumiac
2023 J jnl
Multi-Source Domain Adaptation for Cross-Domain Fault Diagnosis of Chemical Processes.
CoRR
Eduardo Fernandes Montesuma, Michela Mulas, Fred Maurice Ngolè Mboula, Francesco Corona, Antoine Souloumiac
2023 J jnl
Multi-Source Domain Adaptation meets Dataset Distillation through Dataset Dictionary Learning.
CoRR
Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Antoine Souloumiac
2023 J jnl
Multi-Source Domain Adaptation through Dataset Dictionary Learning in Wasserstein Space.
CoRR
Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Antoine Souloumiac
2023 J jnl
Recent Advances in Optimal Transport for Machine Learning.
CoRR
Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Antoine Souloumiac
2021 — conf
An Empirical Study of Information Retrieval and Machine Reading Comprehension Algorithms for an Online Education Platform.
STIL
Eduardo Fernandes Montesuma, Lucas Cabral, Adson R. P. Damasceno, João Victor F. T. De Sampaio, Rômulo Férrer Filho, Paulo Henrique M. Maia, Francisco C. M. B. Oliveira
2021 Misc conf
Wasserstein Barycenter Transport for Acoustic Adaptation.
ICASSP
Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula
2021 A* conf
Wasserstein Barycenter for Multi-Source Domain Adaptation.
CVPR
Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula
2020 Misc conf
Opendenoising: An Extensible Benchmark for Building Comparative Studies of Image Denoisers.
ICASSP
Florian Lemarchand, Eduardo Fernandes Montesuma, Maxime Pelcat, Erwan Nogues
2019 J jnl
OpenDenoising: an Extensible Benchmark for Building Comparative Studies of Image Denoisers.
CoRR
Florian Lemarchand, Eduardo Fernandes Montesuma, Maxime Pelcat, Erwan Nogues