Philippe Bich

Thesis title

Towards Smaller, Lighter, and More Transparent AI

Tutors

• Gianluca Setti

• 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
• Prono, Luciano; Bich, Philippe; Boretti, Chiara; Mangia, Mauro; Pareschi, Fabio; ... (2025)
  A Multiply-And-Max/Min Neuron Paradigm for Aggressively Prunable Deep Neural Networks. In: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. 36, pp. 14414-14427. ISSN 2162-237X
  Contributo su Rivista
• Boretti, Chiara; Bich, Philippe; Prono, Luciano; Pareschi, Fabio; Rovatti, Riccardo; ... (2024)
  Memory in Motion: Exploring Leaky Integration of Time Surfaces for Event-based Eye-tracking. In: 2024 IEEE Biomedical Circuits and Systems Conference (BioCAS), Xian (Chi), 24-26 October 2024. ISBN: 979-8-3503-5495-9
  Contributo in Atti di Convegno (Proceeding)
• Wang, Zuowen; Gao, Chang; Wu, Zongwei; Conde, Marcos V.; Timofte, Radu; Liu, Shih-Chii; ... (2024)
  Event-Based Eye Tracking. AIS 2024 Challenge Survey. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA (USA), 17-18 June 2024, pp. 5810-5825. ISBN: 979-8-3503-6547-4
  Contributo in Atti di Convegno (Proceeding)