Michael Schmischke

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Grouped Transformations and Regularization in High-Dimensional Explainable ANOVA Approximation. SIAM J. Sci. Comput. Felix Bartel, Daniel Potts, Michael Schmischke
2022	J	`jnl`	Interpretable Transformed ANOVA Approximation on the Example of the Prevention of Forest Fires. Frontiers Appl. Math. Stat. Daniel Potts, Michael Schmischke
2022	J	`jnl`	Learning multivariate functions with low-dimensional structures using polynomial bases. J. Comput. Appl. Math. Daniel Potts, Michael Schmischke
2021	J	`jnl`	Approximation of High-Dimensional Periodic Functions with Fourier-Based Methods. SIAM J. Numer. Anal. Daniel Potts, Michael Schmischke
2021	J	`jnl`	Interpretable Approximation of High-Dimensional Data. CoRR Daniel Potts, Michael Schmischke
2021	J	`jnl`	Interpretable Approximation of High-Dimensional Data. SIAM J. Math. Data Sci. Daniel Potts, Michael Schmischke
2021	J	`jnl`	Interpretable transformed ANOVA approximation on the example of the prevention of forest fires. CoRR Daniel Potts, Michael Schmischke
2020	J	`jnl`	Grouped Transformations in High-Dimensional Explainable ANOVA Approximation. CoRR Felix Bartel, Daniel Potts, Michael Schmischke
2019	J	`jnl`	Learning high-dimensional additive models on the torus. CoRR Daniel Potts, Michael Schmischke
2019	J	`jnl`	Learning multivariate functions with low-dimensional structures using polynomial bases. CoRR Daniel Potts, Michael Schmischke
2018	J	`jnl`	Nonequispaced Fast Fourier Transform (NFFT) Interface for Julia. CoRR Michael Schmischke