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Anzahl der Publikationen: 2
Zeitschriftenartikel
Thesing, Laura und Hansen, Anders C.
(2023):
Which neural networks can be computed by an algorithm? – Generalised hardness of approximation meets Deep Learning.
In: PAMM, Bd. 22, Nr. 1
[PDF, 255kB]
Konferenzbeitrag
Alberti, Silas; Dern, Niclas; Thesing, Laura und Kutyniok, Gitta 
ORCID: https://orcid.org/0000-0001-9738-2487
(2023):
Sumformer: Universal Approximation for Efficient Transformers.
2nd Annual Workshop on Topology, Algebra and Geometry in Machine Learning (TAG-ML), Honolulu, HI, USA, 28. Juli 2023.
Doster, Timothy; Emerson, Tegan; Kvinge, Henry; Miolane, Nina; Papillon, Mathilde; Rieck, Bastian und Sanborn, Sophia (Hrsg.):
In: Topological, Algebraic and Geometric Learning Workshops 2023, 28 July 2023, Proceedings of Machine Learning Research (PMLR)
Bd. 221
ML Research Press. S. 72-86
ORCID: https://orcid.org/0000-0001-9738-2487
(2023):
Sumformer: Universal Approximation for Efficient Transformers.
2nd Annual Workshop on Topology, Algebra and Geometry in Machine Learning (TAG-ML), Honolulu, HI, USA, 28. Juli 2023.
Doster, Timothy; Emerson, Tegan; Kvinge, Henry; Miolane, Nina; Papillon, Mathilde; Rieck, Bastian und Sanborn, Sophia (Hrsg.):
In: Topological, Algebraic and Geometric Learning Workshops 2023, 28 July 2023, Proceedings of Machine Learning Research (PMLR)
Bd. 221
ML Research Press. S. 72-86