PyTorch has profoundly impacted the machine learning (ML) community by allowing
researchers of all backgrounds to train models efficiently. While PyTorch is the de facto …

Resource-intensive computations are a major factor that limits the effectiveness of
automated machine learning solutions. In the paper, we propose a modular approach that …

State-of-the-art hypergraph partitioners, such as hMETIS, usually adopt a multi-level
paradigm for efficiency and scalability. However, they are prone to getting trapped in local …

As a newly emerged evolutionary algorithm, tensorial evolution (TE) has shown promising
performance in solving spatial optimization problems owing to its tensorial representation …