no code implementations • 24 Feb 2023 • Christian Haase, Christoph Hertrich, Georg Loho
We prove that the set of functions representable by ReLU neural networks with integer weights strictly increases with the network depth while allowing arbitrary width.
no code implementations • EACL 2021 • Christian Haase, Saba Anwar, Seid Muhie Yimam, Alexander Friedrich, Chris Biemann
There are two main approaches to the exploration of dynamic networks: the discrete one compares a series of clustered graphs from separate points in time.