text: 134,13,1300512560341549061,999856806,Sergei V. Gleyzer 🇺🇸🇺🇦,A new paper on unsupervised deep learning techniques for identifying dark matter substructure using strong gravitational lensing <LINK> Continuing an exciting collaboration with @stephstem @emanuele_usai @ReddyPranath and others on this interdisciplinary project This is a follow-up on our earlier supervised learning work in this area <LINK> The paper contains excellent contributions from @ReddyPranath who took part in the 2020 Google Summer of Code with us at CERN-HSF @gsoc @GoogleOSS,https://arxiv.org/abs/2008.12731,"The identity of dark matter remains one of the most pressing questions in physics today. While many promising dark matter candidates have been put forth over the last half-century, to date the true identity of dark matter remains elusive. While it is possible that one of the many proposed candidates may turn out to be dark matter, it is at least equally likely that the correct physical description has yet to be proposed. To address this challenge, novel applications of machine learning can help physicists gain insight into the dark sector from a theory agnostic perspective. In this work we demonstrate the use of unsupervised machine learning techniques to infer the presence of substructure in dark matter halos using galaxy-galaxy strong lensing simulations. ",Decoding Dark Matter Substructure without Supervision,3,"['A new paper on unsupervised deep learning techniques for identifying dark matter substructure using strong gravitational lensing <LINK>\nContinuing an exciting collaboration with @stephstem @emanuele_usai @ReddyPranath and others on this interdisciplinary project', 'This is a follow-up on our earlier supervised learning work in this area https://t.co/w7O6rGGZCR', 'The paper contains excellent contributions from @ReddyPranath who took part in the 2020 Google Summer of Code with us at CERN-HSF @gsoc @GoogleOSS']",20,08,489