Density Problem and Approximation Error in Learning Theory by Ding-Xuan Zhou

“…We study the density problem and approximation error of reproducing kernel Hilbert spaces for the purpose of learning theory. …”
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Freeze-in as a complementary process to freeze-out by Rodrigo Capucha, Karim Elyaouti, Margarete Mühlleitner, Johann Plotnikov, Rui Santos

“…In this work we show that it is possible to further extend the model with a DM candidate obtained via the freeze-in mechanism to be in agreement with the relic density experimental measurement. Once the relic density problem is solved with this addition, new questions are raised. …”
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