3 papers
cs.LG2022
Unsupervised Training for Neural TSP Solver
Elīza Gaile, Andis Draguns, Emīls Ozoliņš +1
There has been a growing number of machine learning methods for approximately solving the travelling salesman problem. However, these methods often require solved instances for tra…
cs.LG2021
Gates Are Not What You Need in RNNs
Ronalds Zakovskis, Andis Draguns, Eliza Gaile +2
Recurrent neural networks have flourished in many areas. Consequently, we can see new RNN cells being developed continuously, usually by creating or using gates in a new, original…
cs.LG2021
Goal-Aware Neural SAT Solver
Emils Ozolins, Karlis Freivalds, Andis Draguns +3
Modern neural networks obtain information about the problem and calculate the output solely from the input values. We argue that it is not always optimal, and the network's perform…