  | Leplat, V., Le Thi Khanh Hien, Onwunta, A., & Gillis, N. (2024). Deep Nonnegative Matrix Factorization with Beta Divergences. Neural Computation.  Peer reviewed vérifié par ORBi |
 | Gillis, N., Le, T. K. H., Leplat, V., & Tan, V. Y. F. (01 August 2022). Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8, 4052-4064. doi:10.1109/TPAMI.2021.3058693 Peer reviewed vérifié par ORBi |
 | Leplat, V., Gillis, N., & Idier, J. (18 February 2021). Multiplicative Updates for NMF with β-Divergences under Disjoint Equality Constraints. SIAM Journal on Matrix Analysis and Applications, 42 (2), 730-752. Peer reviewed vérifié par ORBi |
 | Leplat, V., Gillis, N., & Ang, M. S. (29 April 2020). Blind Audio Source Separation with Minimum-Volume Beta-Divergence NMF. IEEE Transactions on Signal Processing, 68, 3400-3410. Peer reviewed vérifié par ORBi |
 | Leplat, V., Gillis, N., Siebert, X., & Ang, M. S. (2019). Séparation aveugle de sources sonores par factorization en matrices positives avec pénalité sur le volume du dictionnaire. GRETSI. Peer reviewed |
 | Leplat, V., Ang, M. S., & Gillis, N. (2019). Minimum-Volume Rank-Deficient Nonnegative Matrix Factorizations. IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings. Peer reviewed |