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pro vyhledávání: '"Menzen, A"'
The state-of-the-art tensor network Kalman filter lifts the curse of dimensionality for high-dimensional recursive estimation problems. However, the required rounding operation can cause filter divergence due to the loss of positive definiteness of c
Externí odkaz:
http://arxiv.org/abs/2409.03276
This paper presents a method for approximate Gaussian process (GP) regression with tensor networks (TNs). A parametric approximation of a GP uses a linear combination of basis functions, where the accuracy of the approximation depends on the total nu
Externí odkaz:
http://arxiv.org/abs/2310.20630
We present a mapping algorithm to compute large-scale magnetic field maps in indoor environments with approximate Gaussian process (GP) regression. Mapping the spatial variations in the ambient magnetic field can be used for localization algorithms i
Externí odkaz:
http://arxiv.org/abs/2310.16574
For the first time, this position paper introduces a fundamental link between tensor networks (TNs) and Green AI, highlighting their synergistic potential to enhance both the inclusivity and sustainability of AI research. We argue that TNs are valuab
Externí odkaz:
http://arxiv.org/abs/2205.12961
Autor:
Stadler, Daniela, Helbig, Constanze, Wuchner, Klaus, Frank, Jürgen, Richter, Klaus, Hawe, Andrea, Menzen, Tim
Publikováno v:
In European Journal of Pharmaceutics and Biopharmaceutics July 2024 200
Autor:
Zegota, Maksymilian M., Schuster, Georg, De Pra, Mauro, Müllner, Tibor, Menzen, Tim, Steiner, Frank, Hawe, Andrea
Publikováno v:
In Journal of Chromatography A 12 April 2024 1720
Autor:
Brandstetter, Dominik, Helbig, Constanze, Osawa, Kentaro, Minemura, Hiroyuki, Anzai, Yumiko, Torisu, Tetsuo, Uchiyama, Susumu, Menzen, Tim, Friess, Wolfgang, Hawe, Andrea
Publikováno v:
In Journal of Pharmaceutical Sciences April 2024 113(4):891-899
Multiway data often naturally occurs in a tensorial format which can be approximately represented by a low-rank tensor decomposition. This is useful because complexity can be significantly reduced and the treatment of large-scale data sets can be fac
Externí odkaz:
http://arxiv.org/abs/2012.11228
Autor:
Raulf, Arne P., Butke, Joshua, Menzen, Lukas, Küpper, Claus, Großerueschkamp, Frederik, Gerwert, Klaus, Mosig, Axel
Infrared spectra obtained from cell or tissue specimen have commonly been observed to involve a significant degree of (resonant) Mie scattering, which often overshadows biochemically relevant spectral information by a non-linear, non-additive spectra
Externí odkaz:
http://arxiv.org/abs/2002.07681
Autor:
Cornelia Hiemenz, Nadine Baumeister, Constanze Helbig, Andrea Hawe, Sabrina Babutzka, Stylianos Michalakis, Wolfgang Friess, Tim Menzen
Publikováno v:
Molecular Therapy: Methods & Clinical Development, Vol 31, Iss , Pp 101162- (2023)
Recombinant adeno-associated viruses (rAAVs) are attractive therapeutic viral vectors for gene delivery. To ensure the efficacy and safety of rAAV-based therapies, comprehensive characterization of the adeno-associated virus (AAV) capsids is essentia
Externí odkaz:
https://doaj.org/article/021bc972a55c4085adb2165aff1ec1da