Jan Graßhoff

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All published works

Action	Title	Year	Authors
+ PDF Chat	A Robust Multi-Channel EMG System for Lower Back and Abdominal Muscles Training	2021	Roman Kusche Jan Graßhoff Andra Oltmann Lukas Boudnik Philipp Rostalski
+	Scalable Gaussian Process Regression for Kernels with a Non-Stationary Phase	2019	Jan Graßhoff Alexandra Jankowski Philipp Rostalski

Common Coauthors

Coauthor	Papers Together
Philipp Rostalski	2
Lukas Boudnik	1
Alexandra Jankowski	1
Roman Kusche	1
Andra Oltmann	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Some Aspects of the Spline Smoothing Approach to Non-Parametric Regression Curve Fitting	1985	B. W. Silverman	1
+	Gaussian processes for Big data	2013	James Hensman Nicolò Fusi Neil D. Lawrence	1
+ PDF Chat	On the limited memory BFGS method for large scale optimization	1989	Cheng‐Di Dong Jorge Nocedal	1
+	Thoughts on Massively Scalable Gaussian Processes	2015	Andrew Gordon Wilson Christoph Dann Hannes Nickisch	1
+	When Gaussian Process Meets Big Data: A Review of Scalable GPs	2018	Haitao Liu Yew-Soon Ong Xiaobo Shen Jianfei Cai	1
+	Infinite-Horizon Gaussian Processes	2018	Arno Solin James Hensman Richard E. Turner	1
+	GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration	2018	Jacob R. Gardner Geoff Pleiss David Bindel Kilian Q. Weinberger Andrew Gordon Wilson	1
+ PDF Chat	Dry electrodes for bioimpedance measurements—design, characterization and comparison	2018	Roman Kusche Steffen Kaufmann M. Ryschka	1
+	Scalable Log Determinants for Gaussian Process Kernel Learning	2017	Kun Dong David Eriksson Hannes Nickisch David Bindel Andrew Gordon Wilson	1
+	Exact Gaussian processes on a million data points	2019	Ke Alexander Wang Geoff Pleiss Jacob R. Gardner Stephen Tyree Kilian Q. Weinberger Andrew Gordon Wilson	1