Valentin Leplat

Orcid: 0000-0002-3313-1547

According to our database1, Valentin Leplat authored at least 26 papers between 2019 and 2026.

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

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Online presence:

On csauthors.net:

Bibliography

2026
Iterative Methods for Computing the Moore-Penrose Pseudoinverse of Quaternion Matrices, with Applications.
J. Sci. Comput., June, 2026

QuatIca: Advanced Numerical Linear Algebra and Optimization for Quaternionic Matrices in Python.
CoRR, March, 2026

A New Tensor Network: Tubal Tensor Train and Its Applications.
CoRR, March, 2026

Joint Majorization-Minimization for Nonnegative CP and Tucker Decompositions under β-Divergences: Unfolding-Free Updates.
CoRR, February, 2026

2025
A Provably-Correct and Robust Convex Model for Smooth Separable NMF.
CoRR, November, 2025

Market-Driven Subset Selection for Budgeted Training.
CoRR, October, 2025

GRAFT: Gradient-Aware Fast MaxVol Technique for Dynamic Data Sampling.
CoRR, August, 2025

vleplat/QuatIca: v0.1.7.
Dataset, August, 2025

Pass-efficient Randomized Algorithms for Low-rank Approximation of Quaternion Matrices.
CoRR, July, 2025

Block Majorization Minimization with Extrapolation and Application to \({\beta }\)-NMF.
SIAM J. Math. Data Sci., 2025

Efficient Algorithms for Regularized Nonnegative Scale-Invariant Low-Rank Approximation Models.
SIAM J. Math. Data Sci., 2025

Nonnegative Tensor Decomposition via Collaborative Neurodynamic Optimization.
SIAM J. Sci. Comput., 2025

2024
Deep Nonnegative Matrix Factorization With Beta Divergences.
Neural Comput., 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

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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