This week, for the first meeting of the semester, visiting student He Jia will talk about Kalman filters. To plan for the new semester, the group will also discuss suggestions for topics, papers, and potential speakers/volunteers to lead discussions. Full details about these group-organized meetings are posted here: https://www.benty-fields.com/manage_jc?groupid=191.
The Berkeley Statistics and Machine Learning Discussion Group meets weekly to discuss current applications across a wide variety of research domains and software methodologies. Register here to view, propose and vote for this group's upcoming discussion topics. All interested members of the UC Berkeley and LBL communities are welcome and encouraged to attend. Questions may be directed to Chirag Modi.
Chirag Modi a fifth year physics graduate student at Berkeley Center for Cosmological Physics. His research focuses on large-scale structures (LSS) of the Universe. With his adviser, Uros Seljak, he is working on developing new ways to forward model LSS survey observables using machine learning models, such as neural networks, and then to use these models for the reconstruction of initial conditions for our Universe.