Fred Maurice Ngolè Mboula

According to our database, Fred Maurice Ngolè Mboula authored at least 26 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

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

Optimal Transport for Domain Adaptation through Gaussian Mixture Models.

Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Antoine Souloumiac

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

Recent Advances in Optimal Transport for Machine Learning.

Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, 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

Semisupervised Dictionary Learning with Graph Regularized and Active Points.

Khanh-Hung Tran, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Vincent Prost

SIAM J. Imaging Sci., 2020

Manifold attack.

Khanh-Hung Tran, Fred Maurice Ngolè Mboula, Jean-Luc Starck

CoRR, 2020

Semi-supervised dictionary learning with graph regularization and active points.

Khanh-Hung Tran, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Vincent Prost

CoRR, 2020

IDrISS: Intrusion Detection for IT Systems Security : Toward a semantic modelling of side-channel signals.

Fred Maurice Ngolè Mboula, Erwan Nogues

Proceedings of the 28th European Signal Processing Conference, 2020

2018

Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning.

Morgan A. Schmitz, Matthieu Heitz, Nicolas Bonneel, Fred Maurice Ngolè Mboula, David Coeurjolly, Marco Cuturi, Gabriel Peyré, Jean-Luc Starck

SIAM J. Imaging Sci., 2018

Semi-supervised dual graph regularized dictionary learning.

Khanh-Hung Tran, Fred Maurice Ngolè Mboula, Jean-Luc Starck

CoRR, 2018

2017

Point Spread Function Field Learning Based on Optimal Transport Distances.

Fred Maurice Ngolè Mboula, Jean-Luc Starck

SIAM J. Imaging Sci., 2017

Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning.

Morgan A. Schmitz, Matthieu Heitz, Nicolas Bonneel, Fred Maurice Ngolè Mboula, David Coeurjolly, Marco Cuturi, Gabriel Peyré, Jean-Luc Starck

CoRR, 2017

PSF field learning based on Optimal Transport Distances.

Fred Maurice Ngolè Mboula, Jean-Luc Starck

CoRR, 2017

2016

Advanced methods and algorithm for high precision astronomical imaging. (Méthodes et algorithmes avancés pour l'imagerie astronomique de haute précision).

Fred Maurice Ngolè Mboula

PhD thesis, 2016

Constraint matrix factorization for space variant PSFs field restoration.

Fred Maurice Ngolè Mboula, Jean-Luc Starck, Koryo Okumura, Jérôme Amiaux, Patrick Hudelot

CoRR, 2016

Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16).

Vinayak Abrol, Olivier Absil, Pierre-Antoine Absil, Sandrine Anthoine, Philippe Antoine, Thomas Arildsen, Nancy Bertin, Folkert Bleichrodt, Jérôme Bobin, Anne Bol, Antoine Bonnefoy, Francesco Caltagirone, Valerio Cambareri, Cecile Chenot, Vladimir S. Crnojevic, Marie Danková, Kévin Degraux, Jens Eisert, Mohamed-Jalal Fadili, Marylou Gabrié, Nicolas Gac, Daniele Giacobello, Carlos A. Gomez Gonzalez, Adriana Gonzalez, Pierre-Yves Gousenbourger, Mads Græsbøll Christensen, Rémi Gribonval, Stéphanie Guérit, Shaoguang Huang, Paul Irofti, Laurent Jacques, Ulugbek S. Kamilov, Srdan Kitic, Martin Kliesch, Florent Krzakala, John A. Lee, Wenzhi Liao, Tobias Lindstrøm Jensen, Andre Manoel, Hassan Mansour, Ali Mohammad-Djafari, Amirafshar Moshtaghpour, Fred Maurice Ngolè Mboula, Benoît Pairet, Marko Panic, Gabriel Peyré, Aleksandra Pizurica, Pavel Rajmic, Matthieu Roblin, Ingo Roth, Anil Kumar Sao, Pulkit Sharma, Jean-Luc Starck, Eric W. Tramel, Toon van Waterschoot, Dejan Vukobratovic, Li Wang, Benedikt Wirth, Gerhard Wunder, Hongyan Zhang

CoRR, 2016

2014

Super-resolution method using sparse regularization for point-spread function recovery.

Fred Maurice Ngolè Mboula, Jean-Luc Starck, Samuel Ronayette, Koryo Okumura, Jérôme Amiaux

CoRR, 2014

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).

Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic

CoRR, 2014