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[Submitted on 4 Jul 2024] View a PDF of the paper titled NeuroSteiner: A Graph Transformer for Wirelength Estimation, by Sahil Manchanda and 4 other authors View PDF HTML (experimental) Abstract:A core objective of physical design is to minimize wirelength (WL) when placing chip components on a canvas. Computing the minimal WL of a placement requires finding rectilinear Steiner minimum trees (RSMTs), an NP-hard problem. We propose NeuroSteiner, a neural model that distills GeoSteiner, an optimal RSMT solver, to navigate the cost--accuracy frontier of WL estimation. NeuroSteiner is trained on synthesized nets labeled by GeoSteiner, alleviating the need to train…

arXiv:2407.03540v1 Announce Type: new Abstract: Comics, as a medium, uniquely combine text and images in styles often distinct from real-world visuals. For the past three decades, computational research on comics has evolved from basic object detection to more sophisticated tasks. However, the field faces persistent challenges such as small datasets, inconsistent annotations, inaccessible model weights, and results that cannot be directly compared due to varying train/test splits and metrics. To address these issues, we aim to standardize annotations across datasets, introduce a variety of comic styles into the datasets, and establish benchmark results with clear, replicable settings. Our proposed Comics…

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(Tee11/Shutterstock) How we store and serve data are critical factors in what we can do with data, and today we want to do oh-so much. That big data necessity is the mother of all invention, and over the past 20 years, it has spurred an immense amount of database creativity, from MapReduce and array databases to NoSQL and vector DBs. It all seems so promising…and then Mike Stonebraker enters the room. For half a century, Stonebraker has been churning out the database designs at a furious pace. The Turing Award winner made his early mark with Ingres and Postgres. However,…