Piero Zappi — accepted AI-conference papers

2023

Neural DAG Scheduling via One-Shot Priority Sampling

Wonseok Jeon, Mukul Gagrani, Burak Bartan, Weiliang Will Zeng, Harris Teague, Piero Zappi +1

ICLR 2023poster

We consider the problem of scheduling operations/nodes, the dependency among which is characterized by a Directed Acyclic Graph (DAG). Due to its NP-hard nature, heuristic algorithms were traditionally used to acquire reasonably good solutions, and more recent works have proposed Machine Learning (M…

Cited by 3 Source ↗PDF ↗Scholar ↗

2022

Neural Topological Ordering for Computation Graphs

Mukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon, Roberto Bondesan +4

NeurIPS 2022accept

Recent works on machine learning for combinatorial optimization have shown that learning based approaches can outperform heuristic methods in terms of speed and performance. In this paper, we consider the problem of finding an optimal topological order on a directed acyclic graph (DAG) with focus on…

Cited by 13 Source ↗PDF ↗Scholar ↗