Publications

Thesis (PhD)

R. Negrel. "Représentations Optimales pour la Recherche dans les Bases d'Images Patrimoniales", In Sciences et Technologies de l'Information et de la Communication de Université de Cergy-Pontoise. Cergy, 2014. French.

Y. Benatia, A. Savard, R. Negrel, and E.V. Belmega, “Robust DNNs for power allocation problems in cognitive relay networks”, In preparation, IEEE Transactions on Machine Learning in Communications and Networking (MLCN), 2023.

I. Chafaa, R. Negrel, E.V. Belmega, and M. Debbah, "Self-supervised deep learning for mmWave beam steering exploiting sub-6 GHz channels", In IEEE Trans. on Wireless Commun., vol. 21, no. 10, pp. 8803-8816, May 2022.

P. Mertikopoulos, E. V. Belmega, R. Negrel, and L. Sanguinetti "Distributed stochastic optimization via matrix exponential learning" , In IEEE Trans. on Signal Processing. Volume 65, no. 9, Pages 2277-2290, May 2017.

R. Negrel, D. Picard and P.H. Gosselin. "Web scale image retrieval using compact tensor aggregation of visual descriptors". In IEEE Multimedia, Volume 20, Pages 24-33, 2013.

N. Michel, G Chierchia, R Negrel, JF Bercher, "Learning Representations on the Unit Sphere: Investigating Angular Gaussian and von Mises-Fisher Distributions for Online Continual Learning", In Conference on Artificial Intelligence, Canada, February 2024

N. Michel, G Chierchia, R Negrel, JF Bercher, Toshihiko Yamasaki, "New metrics for analyzing continual learners", In Symposium on Image Recognition and Understanding, Japan, Hamamatsu, July 2023
N. Michel, R Negrel, G Chierchia, JF Bercher, "Domain-Aware Augmentations for Unsupervised Online General Continual Learning", In BMVC British Machine Vision Conference. UK, Aberdeen, November 2023.

E.V. Belmega, P. Mertikopoulos, and R. Negrel, "Online convex optimization in wireless networks and beyond: The feedback - performance trade-off", invited paper at RAWNET intl. workshop in conjunction with WiOpt, Turin, Italy, Sep. 2022.
Y. Benatia, R. Negrel, A. Savard, and E.V. Belmega, "Robustness to imperfect CSI of power allocation policies in cognitive relay networks", IEEE SPAWC, Oulu, Finland, Jul. 2022.
Y. Benatia, A. Savard, R. Negrel, and E.V. Belmega, "Unsupervised deep learning to solve power allocation problems in cognitive relay networks", IEEE ICC, Workshop on Data Driven Intelligence for Networks and Systems (DDINS), Seoul, South Korea, May 2022.
N. Michel, R Negrel, G Chierchia, JF Bercher, "Contrastive Learning for Online Semi-Supervised General Continual Learning", In IEEE International Conference on Image Processing (ICIP), 2022.

I. Chafaa, R. Negrel, E.V. Belmega, and M. Debbah, "Federated channel-beam mapping: from sub-6GHz to mmWave", IEEE WCNC, Workshop on Distributed Machine Learning for Future Communications and Networking, Jan. 2021.
G.B. Fonseca, B. Perret, R. Negrel, J. Cousty and S.J.F. Guimaraes, "Fuzzy-marker-based segmentation using hierarchies", Discrete Geometry and Mathematical Morphology: First International Joint Conference, DGMM 2021, Uppsala, Sweden, May 24–27, 2021.
G.B. Fonseca, R. Negrel, B. Perret, J. Cousty and S.J.F. Guimaraes, "New hierarchy-based segmentation layer: towards automatic marker proposal", In 34th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2021.

R. Negrel, A. Lechervy and F. Jurie. "MLBoost Revisited: A Faster Metric Learning Algorithm for Identity-Based Face Retrieval", In BMVC British Machine Vision Conference. York, United Kingdom, September 2016.

R. Negrel, A. Lechervy and F. Jurie. "Boosted Metric Learning for Efficient Identity-Based Face Retrieval", In BMVC British Machine Vision Conference. Swansea, United Kingdom, September 2015.

R. Negrel, D. Picard and P.H. Gosselin. "Efficient Dimension Reduction Of Global Signature With Sparse Projectors For Image Near Duplicate", In IAPR International Conference on Pattern Recognition. Stockholm, Sweden, August 2014.
R. Negrel, D. Picard and P.H. Gosselin. "Dimensionality Reduction Of Visual Features Using Sparse Projectors For Content-Based Image Retrieval", In IEEE International Conference on Image Processing, Top 10% best papers, Paris, France, October 2014.
R. Negrel, D. Picard and P.H. Gosselin. "Evaluation of Second-order Visual Features for Land-Use Classification", In 12th International Content Based Multimedia Indexing Workshop. Klagenfurt, Austria, June 2014.

R. Negrel, D. Picard and P.H. Gosselin, "Using Spatial Pyramids with Compacted VLAT for Image Categorization", In IAPR International Conference on Pattern Recognition. Tsukuba Science City, Japan, November 2012.
R. Negrel, D. Picard and P.H. Gosselin, "Compact Tensor Based Image Representation for Similarity Search", In IEEE International Conference on Image Processing. Orlando, Florida, U.S.A, September 2012.

R. Negrel, Y. Benatia, A. Savard, and E.V. Belmega, “Sélection de relais robuste aux canaux imparfaits pour la radio cognitive coopérative exploitant des réseaux profonds”, In, GRETSI, Grenoble, France, 2023.
N. Luka, R. Negrel, and D. Picard, “Compression d’une image en une séquence de tokens avec des modules d’attention croisée”, In, GRETSI, Grenoble, France, 2023.

R. Negrel, V. Fernandes, P.H. Gosselin, M. Vieira and F. Precioso, "Indexation des Bases Vidéos à l'aide d'une Modélisation du Flot Optique par Bases de Polynômes", In Reconnaissance des Formes et Intelligence Artificielle. Lyon, France, Juanary 2012.

E. V. Belmega, P. Mertikopoulos, R. Negrel and L. Sanguinetti, "Online convex optimization and no-regret learning: Algorithms, guarantees and applications", arXiv:1804.04529 [PDF] [supplem ML setup] [code]