Filip Zelezny

Lossless Compression of Structured Convolutional Models via Lifting

Lifting is an efficient technique to scale up graphical models generalized to relational domains by exploiting the underlying symmetries. Concurrently, neural models are continuously expanding from grid-like tensor data into structured representations, such as various attributed graphs and relationa…