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Hello! I'm Pietro, Research Assistant and Ph.D. candidate at the University of Cambridge (Clare College).

  • 🔭 My research activity focuses on explainable artificial intelligence, deep learning, and neuro-symbolic models.

  • 🔎 My current projects are related to concept learning and reasoning.

  • 🔗 For more info about my work, please visit my website.

Pietro Barbiero's Projects

cola icon cola

Competitive layers for deep learning

dcr icon dcr

Deep Concept Reasoning Pytorch Implementation

diffvae icon diffvae

Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by Ioana Bica, Helena Andrés-Terré, Ana Cvejic, Pietro Liò

evofs icon evofs

Multi-objective evolutionary algorithms for feature selection

ghcore icon ghcore

GH-EXIN neural network for prototype discovery for classification

ghexin icon ghexin

The Growing Hierarchical Exin Neural Network (GH-EXIN)

logic_explained_networks icon logic_explained_networks

Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.

meco icon meco

MECO: Multi-objective Evolutionary Compression

mimo icon mimo

Evolutionary Multi-Objective Optimization with Mutual Information

pascal-part-py icon pascal-part-py

Helpers in python to manipulate the annotations of the Pascal-Part dataset.

phd-thesis icon phd-thesis

A LaTeX document class that conforms to the Computer Laboratory's PhD thesis formatting guidelines.

poli-inf3 icon poli-inf3

Repository dedicata al corso di laurea triennale di Ingegneria dell'Informazione del Politecnico di Torino

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