Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Thesing, Laura"'
Natural language processing (NLP) made an impressive jump with the introduction of Transformers. ChatGPT is one of the most famous examples, changing the perception of the possibilities of AI even outside the research community. However, besides the
Externí odkaz:
http://arxiv.org/abs/2307.02301
Publikováno v:
Journal of Fourier Analysis and Applications 27.2 (2021): 1-44
Due to the many applications in Magnetic Resonance Imaging (MRI), Nuclear Magnetic Resonance (NMR), radio interferometry, helium atom scattering etc., the theory of compressed sensing with Fourier transform measurements has reached a mature level. Ho
Externí odkaz:
http://arxiv.org/abs/1909.01143
Publikováno v:
Sampling Theory in Signal and Image Processing 17, 103-126, 2018
The theory of sampling and the reconstruction of data has a wide range of applications and a rich collection of techniques. For many methods a core problem is the estimation of the number of samples needed in order to secure a stable and accurate rec
Externí odkaz:
http://arxiv.org/abs/1907.12286
Publikováno v:
Applied Computational and Harmonic Analysis, 2018
This paper is concerned with the problem of reconstructing an infinite-dimensional signal from a limited number of linear measurements. In particular, we show that for binary measurements (modelled with Walsh functions and Hadamard matrices) and wave
Externí odkaz:
http://arxiv.org/abs/1908.00185
There are two big unsolved mathematical questions in artificial intelligence (AI): (1) Why is deep learning so successful in classification problems and (2) why are neural nets based on deep learning at the same time universally unstable, where the i
Externí odkaz:
http://arxiv.org/abs/1906.01478
Autor:
Alfke, Dominik, Baines, Weston, Blechschmidt, Jan, Sarmina, Mauricio J. del Razo, Drory, Amnon, Elbrächter, Dennis, Farchmin, Nando, Gambara, Matteo, Glas, Silke, Grohs, Philipp, Hinz, Peter, Kivaranovic, Danijel, Kümmerle, Christian, Kutyniok, Gitta, Lunz, Sebastian, Macdonald, Jan, Malthaner, Ryan, Naisat, Gregory, Neufeld, Ariel, Petersen, Philipp Christian, Reisenhofer, Rafael, Sheng, Jun-Da, Thesing, Laura, Trunschke, Philipp, von Lindheim, Johannes, Weber, David, Weber, Melanie
We present a novel technique based on deep learning and set theory which yields exceptional classification and prediction results. Having access to a sufficiently large amount of labelled training data, our methodology is capable of predicting the la
Externí odkaz:
http://arxiv.org/abs/1901.05744
Autor:
Thesing, Laura
These days we use numerical methods in a large variety of applications. Many of them are security sensitive, like image reconstruction and classification in health care or scene detection for self-driving cars. In these cases, it is of utmost importa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::801eb5e5fcabaae1421d2960fc5d511d
Autor:
Thesing, Laura, Hansen, Anders C.
Publikováno v:
PAMM: Proceedings in Applied Mathematics & Mechanics; Mar2023, Vol. 22 Issue 1, p1-6, 6p
The theory of sampling and the reconstruction of data has a wide range of applications and a rich collection of techniques. For many methods a core problem is the estimation of the number of samples needed in order to secure a stable and accurate rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae52bae87a0f0916ae9a46507834a557
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.