3 citations · 5 across the 7 of their papers we have counts for
5 papers · 1 filter
Matrix Factorization in Tropical and Mixed Tropical-Linear Algebras
Ioannis Kordonis, Emmanouil Theodosis, George Retsinas +1
Matrix Factorization (MF) has found numerous applications in Machine Learning and Data Mining, including collaborative filtering recommendation systems, dimensionality reduction, d…
Learning Linear Groups in Neural Networks
Emmanouil Theodosis, Karim Helwani, Demba Ba
Employing equivariance in neural networks leads to greater parameter efficiency and improved generalization performance through the encoding of domain knowledge in the architecture…
Learning unfolded networks with a cyclic group structure
Emmanouil Theodosis, Demba Ba
Deep neural networks lack straightforward ways to incorporate domain knowledge and are notoriously considered black boxes. Prior works attempted to inject domain knowledge into arc…
On the convergence of group-sparse autoencoders
Emmanouil Theodosis, Bahareh Tolooshams, Pranay Tankala +2
Recent approaches in the theoretical analysis of model-based deep learning architectures have studied the convergence of gradient descent in shallow ReLU networks that arise from g…
Tropical Geometry and Piecewise-Linear Approximation of Curves and Surfaces on Weighted Lattices
Petros Maragos, Emmanouil Theodosis
Tropical Geometry and Mathematical Morphology share the same max-plus and min-plus semiring arithmetic and matrix algebra. In this chapter we summarize some of their main ideas and…