Valentin Leplat

Orcid: 0000-0002-3313-1547

According to our database1, Valentin Leplat authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Efficient Algorithms for Regularized Nonnegative Scale-invariant Low-rank Approximation Models.
CoRR, 2024

Block Majorization Minimization with Extrapolation and Application to β-NMF.
CoRR, 2024

Minimum-Volume Non-Negative Block-Term Decomposition: Blind Data Fusion and Unmixing with Estimation of the Number of Endmembers.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Conic optimization-based algorithms for nonnegative matrix factorization.
Optim. Methods Softw., July, 2023

Deep Nonnegative Matrix Factorization with Beta Divergences.
CoRR, 2023

Inexact higher-order proximal algorithms for tensor factorization.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

Nonnegative Block-Term Decomposition with the β-Divergence: Joint Data Fusion and Blind Spectral Unmixing.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Multi-resolution beta-divergence NMF for blind spectral unmixing.
Signal Process., 2022

Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

NAG-GS: Semi-Implicit, Accelerated and Robust Stochastic Optimizers.
CoRR, 2022

2021
Multiplicative Updates for NMF with β-Divergences under Disjoint Equality Constraints.
SIAM J. Matrix Anal. Appl., 2021

Nonnegative Tucker Decomposition with Beta-divergence for Music Structure Analysis of audio signals.
CoRR, 2021

Fast algorithm for complex-NMF with application to source separation.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Blind Audio Source Separation With Minimum-Volume Beta-Divergence NMF.
IEEE Trans. Signal Process., 2020

2019
Minimum-volume Rank-deficient Nonnegative Matrix Factorizations.
Proceedings of the IEEE International Conference on Acoustics, 2019


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