The proposed approach InDiD improves baseline results of CPD for various data types by proposing a principled loss function that approximates classic rigorous solutions but is differentiable and makes possible representation learning.
Evgenia
1 papers
Moscow Russia
Matvey Morozov
Alexander Stepikin
Alexey Zaysev