Publications

Francesco Alesiani, Jonathan Warrell, Tanja Bien, Henrik Christiansen, Matheus Ferraz, Mathias Niepert (2026). Logical Guidance for the Exact Composition of Diffusion Models. arXiv preprint arXiv:2602.05549.
Marvin Wolff, Francesco Alesiani, Christoph Duhme, Xiaodong Jiang (2026). Clifford Kolmogorov-Arnold Networks. arXiv preprint arXiv:2602.05977.
Francesco Alesiani, Henrik Christiansen, Federico Errica (2025). Variational Kolmogorov-Arnold Network. arXiv preprint arXiv:2507.02466.
Viktor Zaverkin, Marcos Ferraz, Francesco Alesiani, Mathias Niepert (2025). Performance of universal machine-learned potentials with explicit long-range interactions in biomolecular simulations. Journal of Chemical Theory and Computation.
Joris Mathys, Henrik Christiansen, Federico Errica, Francesco Alesiani (2025). Long-Range Ising Model - A Benchmark for Long-Range Capabilities in Graph Learning. 22nd International Workshop on Mining and Learning with Graphs (MLG@ECMLPKDD).
Francesco Alesiani, Takashi Maruyama, Henrik Christiansen, Viktor Zaverkin (2025). Geometric Kolmogorov-Arnold Superposition Theorem. arXiv preprint arXiv:2502.16664.
Henrik Christiansen, Takashi Maruyama, Federico Errica, Viktor Zaverkin, Makoto Takamoto, Francesco Alesiani (2025). Fast, Modular, and Differentiable Framework for Machine Learning-Enhanced Molecular Simulations. arXiv preprint arXiv:2503.20541.
Federico Errica, Henrik Christiansen, Viktor Zaverkin, Mathias Niepert, Francesco Alesiani (2025). Adaptive width neural networks. arXiv preprint arXiv:2501.15889.
Makoto Takamoto, Henrik Christiansen, Francesco Alesiani (2024). ACCELERATING PARTICLE SIMULATIONS USING MACHINE LEARNING AND MOLECULAR DYNAMIC SIMULATIONS.
Takashi Maruyama, Francesco Alesiani (2024). Hierarchy-based Clifford Group Equivariant Message Passing Neural Networks. ICLR 2024 Workshop on AI4DifferentialEquations In Science.