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Found 8 papers, 1 papers with code
Matrix Factorization in Tropical and Mixed Tropical-Linear Algebras
Matrix Factorization (MF) has found numerous applications in Machine Learning and Data Mining, including collaborative filtering recommendation systems, dimensionality reduction, data visualization, and community detection.
Learning Linear Groups in Neural Networks
Employing equivariance in neural networks leads to greater parameter efficiency and improved generalization performance through the encoding of domain knowledge in the architecture; however, the majority of existing approaches require an a priori specification of the desired symmetries.
Learning unfolded networks with a cyclic group structure
Deep neural networks lack straightforward ways to incorporate domain knowledge and are notoriously considered black boxes.
On the convergence of group-sparse autoencoders
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 generative models whose hidden layers are sparse.
Towards improving discriminative reconstruction via simultaneous dense and sparse coding
We propose a novel dense and sparse coding model that integrates both representation capability and discriminative features.
Tropical Geometry and Piecewise-Linear Approximation of Curves and Surfaces on Weighted Lattices
Tropical Geometry and Mathematical Morphology share the same max-plus and min-plus semiring arithmetic and matrix algebra.
Tropical Modeling of Weighted Transducer Algorithms on Graphs
Weighted Finite State Transducers (WFSTs) are versatile data structures that can model a great number of problems, ranging from Automatic Speech Recognition to DNA sequencing.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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An Adaptive Pruning Algorithm for Spoofing Localisation Based on Tropical Geometry
In particular, the proposed algorithm tries to localise the attacker by adapting the leniency parameter based on estimates about the state of the solution space.
