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Tamara G. Grossmann
Tamara G. Grossmann
University of Cambridge
Verified email at cam.ac.uk
Title
Cited by
Cited by
Year
Can Physics-Informed Neural Networks beat the Finite Element Method?
TG Grossmann, UJ Komorowska, J Latz, CB Schönlieb
arXiv preprint arXiv:2302.04107, 2023
1162023
Deeply learned spectral total variation decomposition
TG Grossmann, Y Korolev, G Gilboa, C Schoenlieb
Advances in Neural Information Processing Systems 33, 12115-12126, 2020
62020
Unsupervised Learning of the Total Variation Flow
TG Grossmann, S Dittmer, Y Korolev, CB Schönlieb
arXiv preprint arXiv:2206.04406, 2022
12022
Deep Learning Approaches for PDE-based Image Analysis and Beyond: From the Total Variation Flow to Medieval Paper Analysis
T Großmann
2024
Extracting chain lines and laid lines from digital images of medieval paper using spectral total variation decomposition
TG Grossmann, CB Schönlieb, O Da Rold
Heritage Science 11 (1), 180, 2023
2023
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