We introduce a framework for uncertainty estimation that both describes ...
We introduce a novel architecture for graph networks which is equivarian...
Exploiting symmetries and invariance in data is a powerful, yet not full...
We introduce a novel architecture for graph networks which is equivarian...
This paper deals with a network of computing agents aiming to solve an o...
In this paper, we introduce the concept of collective learning (CL) whic...
In this paper, the extension of the framework of Learning from Constrain...
In this paper we introduce DISROPT, a Python package for distributed
opt...
Estimating the limbs pose in a wearable way may benefit multiple areas s...
In this paper we deal with a network of computing agents with local
proc...