Statistical Predictions in String Theory and Deep Generative Models
نویسندگان
چکیده
منابع مشابه
DEVELOPMENT IN STRING THEORY
The string theory is a fast moving subject, both physics wise and in the respect of mathematics. In order to keep up with the discipline it is important to move with new ideas which are being stressed. Here I wish to give extracts from new papers of ideas which I have recently found interesting. There are six papers which are involved: I ."Strings formulated directly in 4 dimensions " A. N...
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دو هدف را برای انجام این پایان نامه دنبال می کنیم . نشان می دهیم که بسط دامنه پراکندگی یک میدان راموند-راموند دو میدان پیمانه ای و یک میدان تاکیونی caat بسط سازگاری است که این نکته بیانگر آنست که بسط تاکیونها که بسط انرژی پایین نیست را یافته ایم و این بسط با بسط aatt,ctta,cta,cttt سازگار است با مقایسه با دامنه پراکندگی تعدادی از تصحیحات کنشهای tachyonic dbi, wess-zumino را می یابیم .
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Deep generative models parameterized by neural networks have recently achieved state-ofthe-art performance in unsupervised and semisupervised learning. We extend deep generative models with auxiliary variables which improves the variational approximation. The auxiliary variables leave the generative model unchanged but make the variational distribution more expressive. Inspired by the structure...
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ژورنال
عنوان ژورنال: Fortschritte der Physik
سال: 2020
ISSN: 0015-8208,1521-3978
DOI: 10.1002/prop.202000005