Publications

Francesco Alesiani, Shujian Yu, Xi Yu (2023). Gated information bottleneck for generalization in sequential environments. Knowledge and Information Systems.
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Francesco Alesiani, Cristóbal Corvalán Morbiducci, Markus Zopf (2023). Differentiable MaxSAT Message Passing. ICML 2023 Workshop on Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators.
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Cristóbal Corvalán, Francesco Alesiani, Markus Zopf (2023). Continuous-Discrete Message Passing for Graph Logic Reasoning.
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Ammar Shaker, Francesco Alesiani, Xiao He (2023). Continual learning of artificial intelligence systems based on bi-level optimization.
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Francesco Alesiani, Shujian Yu, Mathias Niepert (2023). Continual Invariant Risk Minimization. arXiv preprint arXiv:2310.13977.
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Makoto Takamoto, Francesco Alesiani, Mathias Niepert (2023). CAPE: channel-attention-based PDE parameter embeddings for SciML.
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Federico Errica, Henrik Christiansen, Viktor Zaverkin, Takashi Maruyama, Mathias Niepert, Francesco Alesiani (2023). Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching. arXiv preprint arXiv:2312.16560.
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Francesco Alesiani (2022). Method and system to differentiate through bilevel optimization problems using machine learning.
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Francesco Alesiani (2022). End-to-end channel estimation in communication networks.
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Chairit Wuthishuwong, Francesco Alesiani (2022). Method for predicting a motion of an object.
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