Abstract: Deep neural networks underlie many state of the art solutions to hard problems in computer vision, natural language processing or playing Go. Yet, their power comes with a price. Deep networks transform inputs gradually into outputs, using many parameters and intermediary activations. Understanding what a network has learned, how inputs are mapped to outputs,

Abstract Most cognitive sciences (including AI) appeal to representations in explaining (or trying to create) systems capable of cognition, and especially of complex, intelligent behaviour. In philosophy, considerable attention has been dedicated to the problem of explaining in scientifically-acceptable ways how representations come to represent what they do. In contrast, there has been much less

The SCIoI Scientific Networking Days event is an internal retreat meant to establish scientific connections among the people and the projects in SCIoI. Through this event, we want to emphasize the importance of establishing scientific connections among SCIoI researchers and promote in-depth scientific discussions and exchanges. During the retreat, the SCIoI executive board will evaluate

Title: Perception in Motion Abstract: This is a talk on perception in two parts. Part one exemplifies the "movement" of the field of learning-based robot perception. Here, I will give one example for increasing structural assumptions and one for decreasing them based on our work on differentiable mapping and differentiable resampling. Part two takes the

ABSTRACT: In many social systems, an individual’s role is reflected by its interactions with other members of the group. In many model organisms, and particularly in social insects, the patterns of actions and interactions among individuals are not static but constantly evolving over time. This can be due to the emergence or demise of certain