Publications
Going deep, reaching further: What can Boltzmann machines efficiently represent?
Tobias Reinhart and Gemma De les Coves. arXiv:2610.39731
The View from Within: What Can Embedded Observers (Not) Learn?
Tomáš Gonda, Johannes Fankhauser and Gemma De les Coves. arXiv:2608.25800
Universal Spin Models are Universal Approximators in Machine Learning
Tobias Reinhart and Gemma De les Coves. Physical Review E, 113, L043301 (2026). arXiv:2507.07669
Positive moments forever: Decidable and undecidable cases
Gemma De les Coves, Andreas Klingler, Joshua Graf and Tim Netzer. Linear Algebra and its Applications 722, 255 (2025). arXiv:2404.15053
The Structure of Emulations in Classical Spin Models: Modularity and Universality
Tobias Reinhart, Benjamin Engel and Gemma De les Coves. Journal of Mathematical Physics, 67, 073303 (2026). arXiv:2407.13428.
Epistemic Horizons From Deterministic Laws: Lessons From a Nomic Toy Theory
Johannes Fankhauser, Tomaš Gonda, Gemma De les Coves. Synthese 205, 136 (2025). arXiv:2406.17581
An Invitation to Universality in Physics, Computer Science, and Beyond
Tomaš Gonda, Gemma De les Coves. arXiv:2406.16607 (2024)
Universality and complexity in natural languages: Mechanistic and emergent
Gemma De les Coves, Bernat Corominas-Murtra, Ricard Sole. Preprints: 202402.1330 (2024)
Beyond operator systems
Gemma De les Coves, Mirte van der Eyden, Tim Netzer. J. Math. Anal. 556, 130102 (2026). arXiv:2307.06851
A framework for universality in physics, computer science and beyond
Tomáš Gonda, Tobias Reinhart, Sebastian Stengele and Gemma De les Coves. Compositionality 6, No. 3 (2024). arXiv:2307.06851
Many bounded versions of undecidable problems are NP-hard
Andreas Klingler, Mirte van der Eyden, Sebastian Stengele, Tobias Reinhart, and Gemma De las Cuevas. SciPost Phys. 14, 173 (2023). arXiv:2211.13532