Francesco Alesiani

52 papers A* 10A 1B 4Journal 29Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Clifford Kolmogorov-Arnold Networks.
CoRR
Matthias Wolff, Francesco Alesiani, Christof Duhme, Xiaoyi Jiang
2026 J jnl
Logical Guidance for the Exact Composition of Diffusion Models.
CoRR
Francesco Alesiani, Jonathan Warrell, Tanja Bien, Henrik Christiansen, Matheus Ferraz, Mathias Niepert
2025 A* conf
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching.
ICML
Federico Errica, Henrik Christiansen, Viktor Zaverkin, Takashi Maruyama, Mathias Niepert, Francesco Alesiani
2025 J jnl
Adaptive Width Neural Networks.
CoRR
Federico Errica, Henrik Christiansen, Viktor Zaverkin, Mathias Niepert, Francesco Alesiani
2025 J jnl
Fast, Modular, and Differentiable Framework for Machine Learning-Enhanced Molecular Simulations.
CoRR
Henrik Christiansen, Takashi Maruyama, Federico Errica, Viktor Zaverkin, Makoto Takamoto, Francesco Alesiani
2025 J jnl
Geometric Kolmogorov-Arnold Superposition Theorem.
CoRR
Francesco Alesiani, Takashi Maruyama, Henrik Christiansen, Viktor Zaverkin
2025 J jnl
Performance of universal machine-learned potentials with explicit long-range interactions in biomolecular simulations.
CoRR
Viktor Zaverkin, Matheus Ferraz, Francesco Alesiani, Mathias Niepert
2025 J jnl
Variational Kolmogorov-Arnold Network.
CoRR
Francesco Alesiani, Henrik Christiansen, Federico Errica
2024 J jnl
Graph Reasoning Networks.
CoRR
Markus Zopf, Francesco Alesiani
2024 A* conf
Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing.
NeurIPS
Viktor Zaverkin, Francesco Alesiani, Takashi Maruyama, Federico Errica, Henrik Christiansen, Makoto Takamoto, Nicolas Weber, Mathias Niepert
2024 J jnl
Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing.
CoRR
Viktor Zaverkin, Francesco Alesiani, Takashi Maruyama, Federico Errica, Henrik Christiansen, Makoto Takamoto, Nicolas Weber, Mathias Niepert
2024 J jnl
Variational methods for Learning Multilevel Genetic Algorithms using the Kantorovich Monad.
CoRR
Jonathan Warrell, Francesco Alesiani, Cameron Smith, Anja Mösch, Martin Renqiang Min
2023 J jnl
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching.
CoRR
Federico Errica, Henrik Christiansen, Viktor Zaverkin, Takashi Maruyama, Mathias Niepert, Francesco Alesiani
2023 J jnl
Continual Invariant Risk Minimization.
CoRR
Francesco Alesiani, Shujian Yu, Mathias Niepert
2023 J jnl
Gated information bottleneck for generalization in sequential environments.
Knowl. Inf. Syst.
Francesco Alesiani, Shujian Yu, Xi Yu
2023 A* conf
Implicit Bilevel Optimization: Differentiating through Bilevel Optimization Programming.
AAAI
Francesco Alesiani
2023 J jnl
Implicit Bilevel Optimization: Differentiating through Bilevel Optimization Programming.
CoRR
Francesco Alesiani
2023 A* conf
Learning Neural PDE Solvers with Parameter-Guided Channel Attention.
ICML
Makoto Takamoto, Francesco Alesiani, Mathias Niepert
2023 J jnl
Learning Neural PDE Solvers with Parameter-Guided Channel Attention.
CoRR
Makoto Takamoto, Francesco Alesiani, Mathias Niepert
2023 J jnl
Self-Tuning Hamiltonian Monte Carlo for Accelerated Sampling.
CoRR
Henrik Christiansen, Federico Errica, Francesco Alesiani
2022 J jnl
Constrained Clustering for the Capacitated Vehicle Routing Problem (CC-CVRP).
Appl. Artif. Intell.
Francesco Alesiani, Gülcin Ermis, Konstantinos Gkiotsalitis
2022 J jnl
Human-Centric Research for NLP: Towards a Definition and Guiding Questions.
CoRR
Bhushan Kotnis, Kiril Gashteovski, Julia Gastinger, Giuseppe Serra, Francesco Alesiani, Timo Sztyler, Ammar Shaker, Na Gong, Carolin Lawrence, Zhao Xu
2022 B conf
Modular-Relatedness for Continual Learning.
IDA
Ammar Shaker, Francesco Alesiani, Shujian Yu
2022 J jnl
PDEBENCH: An Extensive Benchmark for Scientific Machine Learning.
CoRR
Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Daniel MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert
2022 A* conf
PDEBench: An Extensive Benchmark for Scientific Machine Learning.
NeurIPS
Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Daniel MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert
2022 J jnl
Principle of Relevant Information for Graph Sparsification.
CoRR
Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, José C. Príncipe
2022 A conf
Principle of relevant information for graph sparsification.
UAI
Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, José C. Príncipe
2021 B conf
Bilevel Continual Learning.
IJCNN
Ammar Shaker, Francesco Alesiani, Shujian Yu, Wenzhe Yin
2021 A* conf
Gated Information Bottleneck for Generalization in Sequential Environments.
ICDM
Francesco Alesiani, Shujian Yu, Xi Yu
2021 J jnl
Gated Information Bottleneck for Generalization in Sequential Environments.
CoRR
Francesco Alesiani, Shujian Yu, Xi Yu
2021 A* conf
Measuring Dependence with Matrix-based Entropy Functional.
AAAI
Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, José C. Príncipe
2021 J jnl
Measuring Dependence with Matrix-based Entropy Functional.
CoRR
Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, José C. Príncipe
2021 — conf
Optimization of Collection and Consolidation Operations in Cross-Border Multi-modal Distribution Networks.
ITSC
Gülcin Ermis, Francesco Alesiani, Konstantinos Gkiotsalitis
2021 A* conf
Reinforcement Learning for Route Optimization with Robustness Guarantees.
IJCAI
Tobias Jacobs, Francesco Alesiani, Gülcin Ermis
2020 J jnl
Bilevel Continual Learning.
CoRR
Ammar Shaker, Francesco Alesiani, Shujian Yu, Wenzhe Yin
2020 J jnl
Learning an Interpretable Graph Structure in Multi-Task Learning.
CoRR
Shujian Yu, Francesco Alesiani, Ammar Shaker, Wenzhe Yin
2020 A* conf
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications.
IJCAI
Shujian Yu, Ammar Shaker, Francesco Alesiani, José C. Príncipe
2020 J jnl
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications.
CoRR
Shujian Yu, Ammar Shaker, Francesco Alesiani, José C. Príncipe
2020 J jnl
Towards Interpretable Multi-Task Learning Using Bilevel Programming.
CoRR
Francesco Alesiani, Shujian Yu, Ammar Shaker, Wenzhe Yin
2020 — conf
Towards Interpretable Multi-task Learning Using Bilevel Programming.
ECML/PKDD (2)
Francesco Alesiani, Shujian Yu, Ammar Shaker, Wenzhe Yin
2019 A* conf
Efficient and Scalable Multi-Task Regression on Massive Number of Tasks.
AAAI
Xiao He, Francesco Alesiani, Ammar Shaker
2018 J jnl
Efficient and Scalable Multi-task Regression on Massive Number of Tasks.
CoRR
Xiao He, Francesco Alesiani, Ammar Shaker
2018 J jnl
On Learning From Inaccurate and Incomplete Traffic Flow Data.
IEEE Trans. Intell. Transp. Syst.
Francesco Alesiani, Luís Moreira-Matias, Mahsa Faizrahnemoon
2018 — conf
Reinforcement Learning-Based Bus Holding for High-Frequency Services.
ITSC
Francesco Alesiani, Konstantinos Gkiotsalitis
2018 — conf
Reliable bus dispatching times by coupling Monte Carlo evaluations with a Genetic Algorithm.
ITSC
Konstantinos Gkiotsalitis, Francesco Alesiani
2016 — conf
Locally Growing Rapid Tree (LGRT) motion planning for autonomous driving.
ITSC
Francesco Alesiani, Chairit Wuthishuwong
2016 — conf
Remote Testimony: How to Trust an Autonomous Vehicle.
VTC Spring
Francesco Alesiani, Sebastian Gajek
2015 — conf
Drift3Flow: Freeway-Incident Prediction Using Real-Time Learning.
ITSC
Luís Moreira-Matias, Francesco Alesiani
2014 — conf
Opportunistic solution-space reduction techniques for reducing the time complexity of Dynamic Speed Control with microsimulation on motorways.
ITSC
Konstantinos Gkiotsalitis, Francesco Alesiani
2014 J jnl
Optimization of Charging Stops for Fleet of Electric Vehicles: A Genetic Approach.
IEEE Intell. Transp. Syst. Mag.
Francesco Alesiani, Nitin Maslekar
2003 B conf
Differential space-time CDMA with turbo decoding.
GLOBECOM
Francesco Alesiani, Alberto Tarable
2001 B conf
Performance of adaptive modulation techniques in the UMTS system.
GLOBECOM
Francesco Alesiani, Ezio Biglieri, Giorgio Taricco, Emanuele Viterbo