Saegerman, C., Bertagnoli, S., Meyer, G., Ganiere, J.-P., Caufour, P., De Clercq, K., Jacquiet, P., Fournie, G., Hautefeuille, C., Etore, F., & Casal, J. (2018). Risk of introduction of lumpy skin disease in France by the import of vectors in animal trucks. PLoS ONE, 13 (6), 0198506. doi:10.1371/journal.pone.0198506 Peer Reviewed verified by ORBi |
Absil, P.-A., Amodei, L., & Meyer, G. (2014). Two Newton methods on the manifold of fixed-rank matrices endowed with Riemannian quotient geometries. Computational Statistics, 29 (3-4), 569-590. doi:10.1007/s00180-013-0441-6 Peer Reviewed verified by ORBi |
Mishra, B., Meyer, G., Bonnabel, S., & Sepulchre, R. (2012). Fixed-rank matrix factorizations and Riemannian low-rank optimization. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/136921. |
Mishra, B., Meyer, G., Bach, F., & Sepulchre, R. (2012). Low-rank optimization with trace norm penalty. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/112300. |
Mishra, B., Meyer, G., & Sepulchre, R. (2011). Low-rank optimization for distance matrix completion. In Proceedings of the 50th IEEE Conference on Decision and Control. Peer reviewed |
Meyer, G. (2011). Geometric optimization algorithms for linear regression on fixed-rank matrices [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/97713 |
Meyer, G., Bonnabel, S., & Sepulchre, R. (03 March 2011). Regression on fixed-rank positive semidefinite matrices: a Riemannian approach. Journal of Machine Learning Research, 12 (Feb), 593−625. Peer Reviewed verified by ORBi |
Meyer, G., Bonnabel, S., & Sepulchre, R. (2011). Linear regression under fixed-rank constraints: a Riemannian approach. In Proceedings of the 28th International Conference on Machine Learning. Peer reviewed |
Meyer, G., Bonnabel, S., & Sepulchre, R. (December 2010). Rank-constrained linear regression: a Riemannian approach [Poster presentation]. Low-rank Methods for Large-scale Machine Learning, NIPS Workshop, Whistler, Canada. |
Bonnabel, S., Meyer, G., & Sepulchre, R. (2010). Adaptive filtering for estimation of a low-rank positive semidefinite matrix. In Proceedings of the 19th International Symposium on Mathematical Theory of Networks and Systems. Peer reviewed |
Meyer, G., Journée, M., Bonnabel, S., & Sepulchre, R. (2009). From subspace learning to distance learning: a geometrical optimization approach. In Proceedings of the 2009 IEEE Workshop on Statistical Signal Processing (SSP2009) (pp. 385 - 388). doi:10.1109/SSP.2009.5278557 |
Vaalburg, W., Coenen, H. H., Crouzel, C., Elsinga, P. H., Langstrom, B., Lemaire, C., & Meyer, G. (1992). Amino acids for the measurement of protein synthesis in vivo by PET. International Journal of Radiation Applications and Instrumentation. Part B, Nuclear Medicine and Biology, 19 (2), 227-37. doi:10.1016/0883-2897(92)90011-M Peer Reviewed verified by ORBi |