Fred Maurice Ngolè Mboula

32 papers A* 1A 1Misc 3Journal 25Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Mapping : Domain-Invariant Representations via Spectral Embedding of Optimal Transport Plans. CoRR Abdel Djalil Sad Saoud, Fred Maurice Ngolè Mboula, Hanane Slimani
2025	J	`jnl`	Instrumentation and Measurement Systems: Cable Fault Diagnosis Using a Machine Learning Approach Based on Compressed Sensing Time-Domain Reflectometry. IEEE Instrum. Meas. Mag. Hanane Slimani, Yosra Gargouri, Fred Maurice Ngolè Mboula, Nicolas Ravot
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`	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. Trans. Mach. Learn. Res. Eduardo Fernandes Montesuma, Adel El Habazi, Fred Maurice Ngolè Mboula
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	Misc	`conf`	Multi-Source Domain Adaptation Meets Dataset Distillation through Dataset Dictionary Learning. ICASSP Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Antoine Souloumiac
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	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	—	`conf`	IDrISS: Intrusion Detection for IT Systems Security : Toward a semantic modelling of side-channel signals. EUSIPCO Fred Maurice Ngolè Mboula, Erwan Nogues
2020	J	`jnl`	Manifold attack. CoRR Khanh-Hung Tran, Fred Maurice Ngolè Mboula, Jean-Luc Starck
2020	J	`jnl`	Semi-supervised dictionary learning with graph regularization and active points. CoRR Khanh-Hung Tran, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Vincent Prost
2020	J	`jnl`	Semisupervised Dictionary Learning with Graph Regularized and Active Points. SIAM J. Imaging Sci. Khanh-Hung Tran, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Vincent Prost
2018	J	`jnl`	Semi-supervised dual graph regularized dictionary learning. CoRR Khanh-Hung Tran, Fred Maurice Ngolè Mboula, Jean-Luc Starck
2018	J	`jnl`	Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning. SIAM J. Imaging Sci. Morgan A. Schmitz, Matthieu Heitz, Nicolas Bonneel, Fred Maurice Ngolè Mboula, David Coeurjolly, Marco Cuturi, Gabriel Peyré, Jean-Luc Starck
2017	J	`jnl`	PSF field learning based on Optimal Transport Distances. CoRR Fred Maurice Ngolè Mboula, Jean-Luc Starck
2017	J	`jnl`	Point Spread Function Field Learning Based on Optimal Transport Distances. SIAM J. Imaging Sci. Fred Maurice Ngolè Mboula, Jean-Luc Starck
2017	J	`jnl`	Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning. CoRR Morgan A. Schmitz, Matthieu Heitz, Nicolas Bonneel, Fred Maurice Ngolè Mboula, David Coeurjolly, Marco Cuturi, Gabriel Peyré, Jean-Luc Starck
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
2016	J	`jnl`	Constraint matrix factorization for space variant PSFs field restoration. CoRR Fred Maurice Ngolè Mboula, Jean-Luc Starck, Koryo Okumura, Jérôme Amiaux, Patrick Hudelot
2016	J	`jnl`	Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). CoRR 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
2014	J	`jnl`	Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR 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
2014	J	`jnl`	Super-resolution method using sparse regularization for point-spread function recovery. CoRR Fred Maurice Ngolè Mboula, Jean-Luc Starck, Samuel Ronayette, Koryo Okumura, Jérôme Amiaux