MSc C. Meo

Expertise: Machine learning

Cristian Meo is a PhD student at CAS under supervision of Justin Dauwels, Geert Leus, and Hadi Jamali-Rad. In his research, he investigates how different inductive biases affect neural networks generalization and reasoning capabilities. 

In particular, he is studying how inter and intra class factors of variations can be disentangled within the modular networks framework. In other words, looking at both object centric and attribute level disentanglement.  In order to do that, he studies how a network's capacity is linked to disentanglement using information-theoretic constructs.

Last updated: 28 Nov 2022