Philippe Bich

Thesis title

Towards Smaller, Lighter, and More Transparent AI

Tutors

• Gianluca Setti

• De Santis, Francesco; Bich, Philippe; Ciravegna, Gabriele; Barbiero, Pietro; Cerquitelli ... (2026)
  Towards Better Generalization and Interpretability in Unsupervised Concept-Based Models. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Porto (PRT), September 15–19, 2025, pp. 478-494. ISBN: 978-3-032-06065-5
  Contributo in Atti di Convegno (Proceeding)
• De Santis, Francesco; Ciravegna, Gabriele; Bich, Philippe; Giordano, Danilo; ... (2026)
  V-CEM: Bridging Performance and Intervenability in Concept-Based Models. In: 3rd World Conference on Explainable Artificial Intelligence, xAI 2025, Istanbul (TUR), July 9–11, 2025, pp. 48-67. ISSN 1865-0937. ISBN: 9783032083166
  Contributo in Atti di Convegno (Proceeding)
• Bich, Philippe; Prono, Luciano; Boretti, Chiara; Pareschi, Fabio; Rovatti, Riccardo; ... (2025)
  MESA: A Dynamical Attention-based Pre-processing Pipeline for High-throughput Event-based Computer Vision Tasks. In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. II, EXPRESS BRIEFS, vol. 72, pp. 2057-2061. ISSN 1549-7747
  Contributo su Rivista
• De Santis, Francesco; Bich, Philippe; Ciravegna, Gabriele; Barbiero, Pietro; Giordano, ... (2025)
  Linearly-interpretable concept embedding models for text analysis. In: MACHINE LEARNING, vol. 114. ISSN 0885-6125
  Contributo su Rivista
• Bich, Philippe; Enttsel, Andriy; Prono, Luciano; Marchioni, Alex; Pareschi, Fabio; ... (2025)
  On the Universal Approximation Properties of Deep Neural Networks Using MAM Neurons. In: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 47, pp. 8297-8304. ISSN 0162-8828
  Contributo su Rivista