Nico Pelleriti

Preprints

1. Pelleriti, N., Spiegel, C., Liu, S., Martínez-Rubio, D., Zimmer, M., and Pokutta, S. (2025). Neural Sum-of-Squares: Certifying the Nonnegativity of Polynomials with Transformers. [arXiv]
   [BibTeX]

   @misc{2025_PelleritiEtAl_Neuralsos_2510-13444,
     archiveprefix = {arXiv},
     eprint = {2510.13444},
     primaryclass = {cs.LG},
     year = {2025},
     author = {Pelleriti, Nico and Spiegel, Christoph and Liu, Shiwei and Martínez-Rubio, David and Zimmer, Max and Pokutta, Sebastian},
     title = {Neural Sum-of-Squares: Certifying the Nonnegativity of Polynomials with Transformers},
     date = {2025-10-15}
   }

Conference proceedings

1. Kera, H., Pelleriti, N., Ishihara, Y., Zimmer, M., and Pokutta, S. (2025, May 29). Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms. Proceedings of the Conference on Neural Information Processing Systems. [arXiv]
   [BibTeX]

   @inproceedings{2025_KeraEtAl_Transformeroracles_2505-23696,
     year = {2025},
     booktitle = {Proceedings of the Conference on Neural Information Processing Systems},
     archiveprefix = {arXiv},
     eprint = {2505.23696},
     primaryclass = {cs.LG},
     author = {Kera, Hiroshi and Pelleriti, Nico and Ishihara, Yuki and Zimmer, Max and Pokutta, Sebastian},
     title = {Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms},
     date = {2025-05-29}
   }

2. Pelleriti, N., Zimmer, M., Wirth, E., and Pokutta, S. (2025, February 20). Approximating Latent Manifolds in Neural Networks Via Vanishing Ideals. Proceedings of the International Conference on Machine Learning. [arXiv]
   [BibTeX]

   @inproceedings{2025_PelleritiZimmerWirthPokutta_Latentmanifolds,
     year = {2025},
     booktitle = {Proceedings of the International Conference on Machine Learning},
     archiveprefix = {arXiv},
     eprint = {2502.15051},
     primaryclass = {cs.LG},
     author = {Pelleriti, Nico and Zimmer, Max and Wirth, Elias and Pokutta, Sebastian},
     title = {Approximating Latent Manifolds in Neural Networks Via Vanishing Ideals},
     date = {2025-02-20}
   }