Francesco Alesiani

According to our database, Francesco Alesiani authored at least 29 papers between 2001 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Gated information bottleneck for generalization in sequential environments.

Francesco Alesiani, Shujian Yu, Xi Yu

Knowl. Inf. Syst., February, 2023

Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching.

Federico Errica, Henrik Christiansen, Viktor Zaverkin, Takashi Maruyama, Mathias Niepert, Francesco Alesiani

CoRR, 2023

Continual Invariant Risk Minimization.

Francesco Alesiani, Shujian Yu, Mathias Niepert

CoRR, 2023

Self-Tuning Hamiltonian Monte Carlo for Accelerated Sampling.

Henrik Christiansen, Federico Errica, Francesco Alesiani

CoRR, 2023

Learning Neural PDE Solvers with Parameter-Guided Channel Attention.

Makoto Takamoto, Francesco Alesiani, Mathias Niepert

Proceedings of the International Conference on Machine Learning, 2023

Implicit Bilevel Optimization: Differentiating through Bilevel Optimization Programming.

Francesco Alesiani

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Human-Centric Research for NLP: Towards a Definition and Guiding Questions.

Bhushan Kotnis, Kiril Gashteovski, Julia Gastinger, Giuseppe Serra, Francesco Alesiani, Timo Sztyler, Ammar Shaker, Na Gong, Carolin Lawrence, Zhao Xu

CoRR, 2022

Constrained Clustering for the Capacitated Vehicle Routing Problem (CC-CVRP).

Francesco Alesiani, Gülcin Ermis, Konstantinos Gkiotsalitis

Appl. Artif. Intell., 2022

Principle of relevant information for graph sparsification.

Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, José C. Príncipe

Proceedings of the Uncertainty in Artificial Intelligence, 2022

PDEBench: An Extensive Benchmark for Scientific Machine Learning.

Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Daniel MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Modular-Relatedness for Continual Learning.

Ammar Shaker, Francesco Alesiani, Shujian Yu

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

2021

Optimization of Collection and Consolidation Operations in Cross-Border Multi-modal Distribution Networks.

Gülcin Ermis, Francesco Alesiani, Konstantinos Gkiotsalitis

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Bilevel Continual Learning.

Ammar Shaker, Francesco Alesiani, Shujian Yu, Wenzhe Yin

Proceedings of the International Joint Conference on Neural Networks, 2021

Reinforcement Learning for Route Optimization with Robustness Guarantees.

Tobias Jacobs, Francesco Alesiani, Gülcin Ermis

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Measuring Dependence with Matrix-based Entropy Functional.

Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, José C. Príncipe

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning an Interpretable Graph Structure in Multi-Task Learning.

Shujian Yu, Francesco Alesiani, Ammar Shaker, Wenzhe Yin

CoRR, 2020

Towards Interpretable Multi-task Learning Using Bilevel Programming.

Francesco Alesiani, Shujian Yu, Ammar Shaker, Wenzhe Yin

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications.

Shujian Yu, Ammar Shaker, Francesco Alesiani, José C. Príncipe

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Efficient and Scalable Multi-Task Regression on Massive Number of Tasks.

Xiao He, Francesco Alesiani, Ammar Shaker

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

On Learning From Inaccurate and Incomplete Traffic Flow Data.

Francesco Alesiani, Luís Moreira-Matias, Mahsa Faizrahnemoon

IEEE Trans. Intell. Transp. Syst., 2018

Reliable bus dispatching times by coupling Monte Carlo evaluations with a Genetic Algorithm.

Konstantinos Gkiotsalitis, Francesco Alesiani

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Reinforcement Learning-Based Bus Holding for High-Frequency Services.

Francesco Alesiani, Konstantinos Gkiotsalitis

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2016

Remote Testimony: How to Trust an Autonomous Vehicle.

Francesco Alesiani, Sebastian Gajek

Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016

Locally Growing Rapid Tree (LGRT) motion planning for autonomous driving.

Francesco Alesiani, Chairit Wuthishuwong

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2015

Drift3Flow: Freeway-Incident Prediction Using Real-Time Learning.

Luís Moreira-Matias, Francesco Alesiani

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

2014

Optimization of Charging Stops for Fleet of Electric Vehicles: A Genetic Approach.

Francesco Alesiani, Nitin Maslekar

IEEE Intell. Transp. Syst. Mag., 2014

Opportunistic solution-space reduction techniques for reducing the time complexity of Dynamic Speed Control with microsimulation on motorways.

Konstantinos Gkiotsalitis, Francesco Alesiani

Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2003

Differential space-time CDMA with turbo decoding.

Francesco Alesiani, Alberto Tarable

Proceedings of the Global Telecommunications Conference, 2003

2001

Performance of adaptive modulation techniques in the UMTS system.

Francesco Alesiani, Ezio Biglieri, Giorgio Taricco, Emanuele Viterbo

Proceedings of the Global Telecommunications Conference, 2001