Bontempo Gianpaolo ☕️
Bontempo Gianpaolo

PhD student

AimageLab
DASCI

About Me

My name is Bontempo Gianpaolo, and I am a PhD student in the national Doctorate in Artificial Intelligence at the AImageLab research group of the University of Modena and Reggio Emilia 🇮🇹. I am working under the supervision of Prof. Elisa Ficarra, Prof. Simone Calderara, and Prof. Natalia Diaz Rodriguez. My research focuses on developing innovative Deep Learning and Computer Vision techniques. Currently, I am a visiting student in Machine Learning Engineering at DASCII in Granada, Spain, where I am working on Explainability and Continual Learning. Before joining AImageLab, I was a Research Fellow at the Italian Institute of Technology in Genova, 🇮🇹, where I developed behavior trees for robotic assistants. Feel free to contact me with any questions or curiosities! 😊

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Interests
  • Computer Vision
  • Continual Learning
  • TrustworthAI
Education

  • PhD Artificial Intelligence

    University of Pisa and University of Modena

  • Msc Computer Engineering

    Politecnico di Torino

  • BSc Computer Engineering

    Politecnico di Torino

Featured Publications
A Graph-Based Multi-Scale Approach With Knowledge Distillation for WSI Classification
DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs
Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal
Recent Publications
Bontempo Gianpaolo, Federico Bolelli, Angelo Porrello, Simone Calderara, Elisa Ficarra (2023). A Graph-Based Multi-Scale Approach With Knowledge Distillation for WSI Classification. In TMI.
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Bontempo Gianpaolo, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra (2023). DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs. In MICCAI.
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Bontempo Gianpaolo, Luca Lumetti, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra (2023). Buffer-MIL: Robust Multi-instance Learning with a Buffer-Based Approach. In ICIAP.
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Bontempo Gianpaolo, Nicola Bartolini, Marta Lovino, Federico Bolelli, Anni Virtanen, Elisa Ficarra (2023). Enhancing PFI Prediction with GDS-MIL: A Graph-based Dual Stream MIL Approach. In ICIAP.
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Emanuele Marconato, Bontempo Gianpaolo, Elisa Ficarra, Simone Calderara, Andrea Passerini, Stefano Teso (2023). Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal. In ICML.
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