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Michael Schmischke
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Journal Articles
- 2022
- [j5]Daniel Potts, Michael Schmischke
:
Interpretable Transformed ANOVA Approximation on the Example of the Prevention of Forest Fires. Frontiers Appl. Math. Stat. 8: 795250 (2022) - [j4]Daniel Potts
, Michael Schmischke
:
Learning multivariate functions with low-dimensional structures using polynomial bases. J. Comput. Appl. Math. 403: 113821 (2022) - [j3]Felix Bartel
, Daniel Potts
, Michael Schmischke
:
Grouped Transformations and Regularization in High-Dimensional Explainable ANOVA Approximation. SIAM J. Sci. Comput. 44(1): 1606- (2022) - 2021
- [j2]Daniel Potts
, Michael Schmischke
:
Approximation of High-Dimensional Periodic Functions with Fourier-Based Methods. SIAM J. Numer. Anal. 59(5): 2393-2429 (2021) - [j1]Daniel Potts
, Michael Schmischke
:
Interpretable Approximation of High-Dimensional Data. SIAM J. Math. Data Sci. 3(4): 1301-1323 (2021)
Informal and Other Publications
- 2021
- [i6]Daniel Potts, Michael Schmischke:
Interpretable Approximation of High-Dimensional Data. CoRR abs/2103.13787 (2021) - [i5]Daniel Potts, Michael Schmischke:
Interpretable transformed ANOVA approximation on the example of the prevention of forest fires. CoRR abs/2110.07353 (2021) - 2020
- [i4]Felix Bartel, Daniel Potts, Michael Schmischke:
Grouped Transformations in High-Dimensional Explainable ANOVA Approximation. CoRR abs/2010.10199 (2020) - 2019
- [i3]Daniel Potts, Michael Schmischke
:
Learning high-dimensional additive models on the torus. CoRR abs/1907.11412 (2019) - [i2]Daniel Potts, Michael Schmischke
:
Learning multivariate functions with low-dimensional structures using polynomial bases. CoRR abs/1912.03195 (2019) - 2018
- [i1]Michael Schmischke:
Nonequispaced Fast Fourier Transform (NFFT) Interface for Julia. CoRR abs/1810.09891 (2018)
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