Inspired by the Japanese art of kirigami, an MIT team has designed a technique that could transform flat panels into medical ...
Abstract: Graph kernels are conventional methods for computing graph similarities. However, the existing R-convolution graph kernels cannot resolve both of the two challenges: 1) comparing graphs at ...
That's why OpenAI's push to own the developer ecosystem end-to-end matters in26. "End-to-end" here doesn't mean only better models. It means the ...
Abstract: The Shortest Distance Path (SDP) problem is a critical routing issue in communication networks, particularly in satellite networks. Typically, SDP is solved by graph-based iterative ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
@inproceedings{zhang2024prelar, title={PreLAR: World Model Pre-training with Learnable Action Representation}, author={Zhang, Lixuan and Kan, Meina and Shan, Shiguang and Chen, Xilin}, ...
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