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2026-09-02 13:58 |
[PUBDB-2026-02617]
Preprint
Ibrahim, A. Q. ; Burger, M.
Selection, Representation, and Execution in Sparse Fourier Neural Operators
[arXiv:2608.30070]
Sparse representations are often expected to make models smaller and also reduce inference cost. For Fourier Neural Operators (FNOs), these objectives are not equivalent or do not always align: removing parts of the learned operator can leave the underlying transforms and dense computations unchanged, while changing the grid on which the model is evaluated can introduce overhead of its own. [...]
OpenAccess: PDF PDF (PDFA);
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2026-09-01 17:04 |
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2026-09-01 14:16 |
[PUBDB-2026-02607]
Dissertation / PhD Thesis
Mekala, K. ; Reuter, J. ; Zarnecki, A. F.
Modelling electroweak interactions at lepton colliders - from the Z pole to the highest energies
[arXiv:2608.18788]
Despite the Standard Model's ability to describe collider data from all experiments conducted around the world, several questions about the history of the Universe, including the hierarchy problem, the baryon asymmetry, and the dark matter density, remain open. To address these unresolved issues, the particle physics community agrees on the need to construct a next-generation collider that could probe the Standard Model with higher accuracy and potentially reveal deviations from the predictions of this fundamental theory. [...]
OpenAccess: PDF PDF (PDFA); External link: Fulltext
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2026-09-01 13:38 |
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