Author:
Bungert Leon,Raab René,Roith Tim,Schwinn Leo,Tenbrinck Daniel
Publisher
Springer International Publishing
Reference29 articles.
1. Anil, C., Lucas, J., Grosse, R.B.: Sorting out Lipschitz function approximation. In: ICML, vol. 97, pp. 291–301. PMLR (2019)
2. Anzengruber, S.W., Ramlau, R.: Morozov’s discrepancy principle for Tikhonov-type functionals with nonlinear operators. Inverse Probl. 26(2), 025001 (2009)
3. Aziznejad, S., Gupta, H., Campos, J., Unser, M.: Deep neural networks with trainable activations and controlled Lipschitz constant. IEEE Trans. Signal Process. 68, 4688–4699 (2020)
4. Bungert, L., Burger, M.: Solution paths of variational regularization methods for inverse problems. Inverse Probl. 35(10), 105012 (2019)
5. Bungert, L., Burger, M., Korolev, Y., Schönlieb, C.B.: Variational regularisation for inverse problems with imperfect forward operators and general noise models. Inverse Probl. 36(12), 125014 (2020)
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