Designing universal causal deep learning models : the geometric (Hyper)transformer
Beatrice Acciaio, Anastasis Kratsios, Gudmund Pammer
| Year of publication: |
2024
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| Authors: | Acciaio, Beatrice ; Kratsios, Anastasis ; Pammer, Gudmund |
| Published in: |
Mathematical finance : an international journal of mathematics, statistics and financial economics. - Oxford [u.a.] : Wiley-Blackwell, ISSN 1467-9965, ZDB-ID 1481288-5. - Vol. 34.2024, 2, p. 671-735
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| Subject: | adapted optimal transport | geometric deep learning | hypernetworks | metric geometry | random projection | stochastic processes | transformer networks | universal approximation | Theorie | Theory | Stochastischer Prozess | Stochastic process | Lernprozess | Learning process | Künstliche Intelligenz | Artificial intelligence | Hochschule | Higher education institution |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1111/mafi.12389 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014514805