A PyTorch implementation of the DeFoG model for training and sampling discrete graph flows. (Please update to the latest commit. Recent fixes have been applied.) Working with directed graphs? Consider ...

Abstract: The discharging method is most well-known for its central role in the proof of the Four Color Theorem. This proof technique was extensively applied to study various graph coloring problems, ...

The amplituhedron is a geometric shape with an almost mystical quality: Compute its volume, and you get the answer to a central calculation in physics about how particles interact. Now, a young ...

Graphs and networks are powerful tools for representing connections or relationships between objects or people. They belong to a branch of mathematics called graph theory which is quite distinct from ...

Abstract: The design of arbitrary-shaped planar phased arrays arranged on a triangular grid is explored through an innovative approach using uniformly fed tiles of various sizes and shapes, guided by ...

The RL trainings and testing python script in the RL-PGO folder and was evaluated in a miniconda environment. For GPU installation, steps are shown assuming training is conducted on an Nvidia RTX-3090 ...

One of the great episodes in the history of mathematics began on October 23, 1852. In a letter to Sir William Rowan Hamilton, Augustus De Morgan wrote, “A student of mine asked me today to give him a ...