3 papers
cs.RO2024
Learning to Move Objects with Fluid Streams in a Differentiable Simulation
Karlis Freivalds, Laura Leja, Oskars Teikmanis
We introduce a method for manipulating objects in three-dimensional space using controlled fluid streams. To achieve this, we train a neural network controller in a differentiable…
cs.LG2023
Discrete Denoising Diffusion Approach to Integer Factorization
Karlis Freivalds, Emils Ozolins, Guntis Barzdins
Integer factorization is a famous computational problem unknown whether being solvable in the polynomial time. With the rise of deep neural networks, it is interesting whether they…
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…