activity
20162026
most citedA consistent and flexible framework for deep matrix factorizations

27 citations · 82 across the 18 of their papers we have counts for

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Showing 2020 · cs.LGShow all

6 papers · 2 filters

cs.LG2020

Matrix-wise -constrained Sparse Nonnegative Least Squares

Nicolas Nadisic, Jeremy E Cohen, Arnaud Vandaele +1

Nonnegative least squares problems with multiple right-hand sides (MNNLS) arise in models that rely on additive linear combinations. In particular, they are at the core of most non…

cs.LG2020

Deep matrix factorizations

Pierre De Handschutter, Nicolas Gillis, Xavier Siebert

Constrained low-rank matrix approximations have been known for decades as powerful linear dimensionality reduction techniques to be able to extract the information contained in lar…

cs.LG2020

Multiplicative Updates for NMF with -Divergences under Disjoint Equality Constraints

Valentin Leplat, Nicolas Gillis, Jérôme Idier

Nonnegative matrix factorization (NMF) is the problem of approximating an input nonnegative matrix, , as the product of two smaller nonnegative matrices, and . In this pa…

cs.LG2020

Simplex-Structured Matrix Factorization: Sparsity-based Identifiability and Provably Correct Algorithms

Maryam Abdolali, Nicolas Gillis

In this paper, we provide novel algorithms with identifiability guarantees for simplex-structured matrix factorization (SSMF), a generalization of nonnegative matrix factorization.…

cs.LG2020

Sparse Separable Nonnegative Matrix Factorization

Nicolas Nadisic, Arnaud Vandaele, Jeremy E. Cohen +1

We propose a new variant of nonnegative matrix factorization (NMF), combining separability and sparsity assumptions. Separability requires that the columns of the first NMF factor…

cs.LG2020

On a minimum enclosing ball of a collection of linear subspaces

Timothy Marrinan, P. -A. Absil, Nicolas Gillis

This paper concerns the minimax center of a collection of linear subspaces. When the subspaces are -dimensional subspaces of , this can be cast as finding the cent…