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NEC Laboratories Europe

Dr. Francesco Alesiani

Senior Researcher

Group Involvement, NEC Laboratories Europe

Intelligent Software Systems Group

Machine Learning for Computational Science Division

Research Interests

Machine Learning 
Information Theory
Optimization and Control


  • Francesco Alesiani , Implicit Bilevel Optimization: Differentiating through Bilevel Optimization Programming, AAAI (2023)
  • M. Takamoto, F. Alesiani, M. Niepert, Learning Neural PDE Solvers with Parameter-Guided Channel Attention, ICML (2023)
  • Alesiani, Francesco; Yu, Shujian; Yu, Xi: Gated information bottleneck for generalization in sequential environments, Knowledge and Information Systems, KAIS 2022
  • Takamoto, Makoto; Praditia, Timothy; Leiteritz, Raphael; MacKinlay, Dan; Alesiani, Francesco; Pflüger, Dirk; Niepert, Mathias; PDEBENCH: An Extensive Benchmark for Scientific Machine Learning, NeurIPS, 2022
  • Yu, Shujian; Alesiani, Francesco; Yin, Wenzhe; Jenssen, Robert; Principe, Jose C; Principle of Relevant Information for Graph Sparsification, Conference on Uncertainty in Artificial Intelligence (UAI), 2022
  • Shaker, Ammar; Alesiani, Francesco; Yu, Shujian, Modular-Relatedness for Continual Learning International Symposium on Intelligent Data Analysis (IDA) 2022
  • Francesco Alesiani, Gülcin Ermis, and Konstantinos Gkiotsalitis. "Constrained Clustering for the Capacitated Vehicle Routing Problem (CC-CVRP)." Applied Artificial Intelligence (2022)
  • Alesiani, Francesco; Ermis, Gulcin; Gkiotsalitis, Konstantinos; Constrained clustering for the capacitated vehicle routing problem, 101st Transportation Research Board (TRB) Annual Meeting 2022
  • Francesco Alesiani, Shujian Yu, Xi Yu, Gated Information Bottleneck for Generalization in Sequential Environments. ICDM 2021
  • Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, José C. Príncipe, Measuring Dependence with Matrix-based Entropy Functional. AAAI 2021
  • Tobias Jacobs, Francesco Alesiani, Gülcin Ermis, Reinforcement Learning for Route Optimization with Robustness Guarantees. IJCAI 2021
  • Ammar Shaker, Francesco Alesiani, Shujian Yu, Wenzhe Yin, Bilevel Continual Learning. IJCNN 2021
  • Gülcin Ermis, Francesco Alesiani, Konstantinos Gkiotsalitis, Optimization of Collection and Consolidation Operations in Cross-Border Multi-modal Distribution Networks. ITSC 2021
  • Shujian Yu, Ammar Shaker, Francesco Alesiani, José C. Príncipe, Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications. IJCAI 2020
  • Francesco Alesiani, Shujian Yu, Ammar Shaker, Wenzhe Yin, Towards Interpretable Multi-task Learning Using Bilevel Programming. ECML/PKDD (2) 2020
  • Xiao He, Francesco Alesiani, Ammar Shaker, Efficient and Scalable Multi-Task Regression on Massive Number of Tasks. AAAI 2019
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