2025
J. Pan, V. Leplat, N. Gillis and M. Ng. "A provably-correct convex model for smooth separable NMF". ILAS 2025, Kaohsiung, Taiwan.
V. Leplat. "Inertial and Extrapolated Block Majorization Minimization with Application to NMF ", Visit in HKBU, Hong Kong, January, 2025. [slides]
V. Leplat. "Implicit Regularization in Regularized Nonnegative Low-Rank Approximations ", Workshop in HKBU and Visit in CHKU, Hong Kong, January, 2025. [slides]
2024
L.-T.-K. Hien, V. Leplat and N. Gillis. "Block Majorization Minimization with Extrapolation and Application to β-NMF ", AlgOpt 2024. [poster]
J. E. Cohen and V. Leplat. "Efficient Algorithms for Regularized Nonnegative Scale-invariant Low-rank Approximation Models ", SIAM LA 24 conference, Paris, May, 2024. [slides]
L.-T.-K. Hien, V. Leplat and N. Gillis. "Block Majorization Minimization with Extrapolation and Application to β-NMF ", SIAM LA 24 conference, Paris, May, 2024. [slides].
C. Prevost and V. Leplat. "Data fusion and unmixing with the regularized nonnegative block-term decomposition", SIAM LA 24 conference, Paris, May, 2024. [slides]
2023
V. Leplat and N. Gillis."Nonnegative Matrix Factorization: Introduction, Algorithms, Identifiability and Beyond ", Polyak's summer school on optimization 2023, Nijni Novgorod, July., 2023. [slides].
V. Leplat, Anh Huy Phan and A.M.S. Ang, "Inexact Higher-order proximal algorithms for tensor factorization". IEEE SSP 2023, Hanoi, Vietnam. [poster]
C. Prevost and V. Leplat, "Nonnegative Block Term Decomposition with the beta-divergence for data fusion and blind spectral unmixing". IEEE ICASSP 2023, Rhodes Island, Greece. [video] [poster] [slides]
V. Leplat and I. Oseledets."Recent successes of higher-order methods in machine learning ", data fusion 2023, Moscow, April., 2023. [abstract], [slides].
2022
V. Leplat."NAG-GS: semi-implicit, Accelerated and Robust Stochastic Optimizers ", SMBU - Skoltech and AIRI seminar 2022, Moscow-China, October, 2022. [slides]
2021
V. Leplat, N. Gillis and C. Févotte."Multi-Resolution Beta-Divergence NMF for Blind Spectral Unmixing ", IEEE Asilomar Conference 2021, California, US, November 2021. [poster] [slides] [video]
A.M.S. Ang, V.Leplat, N. Gillis, "Fast algorithm for complex-NMF with application to source separation ", EUSIPCO21.[video]
V.Leplat, "Multiplicative Updates for NMF with Beta-Divergences under Disjoint Equality constraints", SIAM Conference on Applied Linear Algebra (LA21), New Orleans, Louisiana, US, May 2021. [abstract] [slides] [video]
V.Leplat, "Nonnegative Matrix Factorization - Models, algorithms and applications", CDISE seminar, Skolkovo Institute of Sciences and Technology, RU, April 2021. [abstract] [slides] [video]
2020
V.Leplat, "Algorithms for Nonnegative Matrix Factorization", UCL/ICTEAM/INMA seminar, Louvain-la-neuve, Belgium, November 2020. [abstract] [slides]
A.M.S. Ang, V.Leplat, N. Gillis, "Blind audio source separation with minimum-volume beta-divergence NMF", iTWIST20. [slides][video]
V.Leplat, "Multi-resolution β-NMF and A general framework for β-NMF under disjoint equality constraints", COLORAMAP DAY 2020. [slides]
2019
V.Leplat, "Minimum-volume NMF for Audio Source Separation", CORE UCL, Louvain-la-neuve, Belgium. [slides]
V.Leplat, "Minimum-volume KL-NMF for Audio Source Separation", GRETSI 2019, Lille, France. [slides]
V.Leplat, "Minimum-Volume Rank-Deficient Nonnegative Matrix Factorizations", ICASSP 2019, Brighton, UK. [pdf]
2018
V.Leplat, "Séparation de sources sonores", IRIT INP, Toulouse, France. [slides]
V.Leplat, "Audio Source Separation Using Nonnegative Matrix Factorization", ORBEL32, Liège, Belgium. [abstract] [slides]