Contact Us
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
Publications
- 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
Connections
Google Scholar: https://scholar.google.com/citations?user=0puEQdgAAAAJ&hl=en
LinkedIn: https://www.linkedin.com/in/francesco-alesiani-2b48b74/
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