The Case of Transparent Cache Invalidation in Web Applications

Kavli Affiliate: Ke Wang | First 5 Authors: Yunhong Ji, Xuan Zhou, Yongluan Zhou, Ke Wang, | Summary: Application-level caches are widely adopted by web applications to minimize the response time of user requests as well as to reduce the burden on the system backend, such as the database servers. In the state of practice, […]


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Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Kavli Affiliate: Brian Nord | First 5 Authors: Andrea Roncoli, Aleksandra Ćiprijanović, Maggie Voetberg, Francisco Villaescusa-Navarro, Brian Nord | Summary: Deep learning models have been shown to outperform methods that rely on summary statistics, like the power spectrum, in extracting information from complex cosmological data sets. However, due to differences in the subgrid physics implementation […]


Continue.. Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Kavli Affiliate: Brian Nord | First 5 Authors: Andrea Roncoli, Aleksandra Ćiprijanović, Maggie Voetberg, Francisco Villaescusa-Navarro, Brian Nord | Summary: Deep learning models have been shown to outperform methods that rely on summary statistics, like the power spectrum, in extracting information from complex cosmological data sets. However, due to differences in the subgrid physics implementation […]


Continue.. Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Kavli Affiliate: Brian Nord | First 5 Authors: Andrea Roncoli, Aleksandra Ćiprijanović, Maggie Voetberg, Francisco Villaescusa-Navarro, Brian Nord | Summary: Deep learning models have been shown to outperform methods that rely on summary statistics, like the power spectrum, in extracting information from complex cosmological data sets. However, due to differences in the subgrid physics implementation […]


Continue.. Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets