no code implementations • 27 Jul 2022 • Elīza Gaile, Andis Draguns, Emīls Ozoliņš, Kārlis Freivalds
We use our loss function with a Graph Neural Network and design controlled experiments on both Euclidean and asymmetric TSP.
2 code implementations • 29 Jun 2020 • Emīls Ozoliņš, Kārlis Freivalds, Agris Šostaks
Convolutional neural networks have become the main tools for processing two-dimensional data.
2 code implementations • 6 Apr 2020 • Andis Draguns, Emīls Ozoliņš, Agris Šostaks, Matīss Apinis, Kārlis Freivalds
Attention is a commonly used mechanism in sequence processing, but it is of O(n^2) complexity which prevents its application to long sequences.
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1 code implementation • 18 Jul 2019 • Kārlis Freivalds, Emīls Ozoliņš, Agris Šostaks
A key requirement in sequence to sequence processing is the modeling of long range dependencies.