Among the first demands of enculturation on children's emerging numerical abilities is learning to transcode their initial representations of quantity into symbolic notations. It usually takes years ...

Abstract: Learning from small datasets is crucial in biomedical research due to the limited availability of large, annotated data in many domains. Inductive Logic Programming (ILP) offers a robust ...

This repository contains all the material for the Logic and Machine Learning course laboratory sessions. During these sessions, you will learn how to use the Julia programming language together with ...

The aim of this project is to reproduce the main results of the paper Discovering Symbolic Models from Deep Learning with Inductive Biases by Cranmer et al. In this project, we train a different ...