New projects funded by Connectivity Fund

As it happens every 4 months, the Connectivity Fund received many applications. Here below is the list of awardees for this call, with their projects:

  • Efréen Rama Manereiro – Deep reinforcement learning for predictive monitoring under LTLf constraints
  • Mariangela Graziano – Mastering Natural Language Processing and Process Mining methodologies and technologies
  • Luigi Colucci Cante – Title to be announced
  • Paolo Turrini – Multi-Objective Rating Systems
  • Meelis Kull – Open Machine Learning (OpenML Summer Hackathon)
  • Siddhartha Mehrotra – Fostering Appropriate Trust in Predictive Policing AI Systems
  • Ambrogio Maria Bernardelli – Optimal training of a structured ensemble of Binarized Neural Networks with Mixed-Integer Linear Programming techniques
  • Simone Milanesi – Title to be announced
  • Masha Tsfasman – Predicting conversational memorability in group interactions: Continual learning approach
  • Anna Vettoruzzo – Meta-learning for Continual Learning
  • Prabhant Singh – Data Centric AutoML and Benchmarks with Optimal Transport

The call for Connectivity Fund is every 4 months. The next deadline is on the 15th of July 2023, for visits starting on September 1st 2023 or later. Find modalities of application, the proposal template, and more on the Connectivity Fund webpage: