Publications


Showing entries 121 - 140 out of 237
Wei X, Faisal AA, Grosse-Wentrup M, Gramfort A, Chevallier S, Jayaram V et al. 2021 BEETL competition: Advancing transfer learning for subject independence heterogenous EEG data sets. Proceedings of Machine Learning Research (PMLR). 2022;176:205-219. doi: 10.48550/arXiv.2202.12950

Morris C, Lipman Y, Maron H, Rieck B, Kriege NM, Grohe M et al. Weisfeiler and Leman go Machine Learning: The Story so far. arXiv.org. 2021 Dec 18.

Fritze R, Plant C. GPU backed Data Mining on Android Devices. arXiv.org. 2021 Dec 9. doi: https://doi.org/10.48550/arXiv.2112.04800

Fritze R, Plant C. High performance computing on Android devices - a case study. arXiv.org. 2021 Dec 9. doi: https://doi.org/10.48550/arXiv.2112.04845

Schmaranzer D, Braune R, Dörner KF. Multi-objective simulation optimization for complex urban mass rapid transit systems. Annals of Operations Research. 2021 Oct;305(1):449-486. Epub 2019 Sep 25. doi: 10.1007/s10479-019-03378-w

Sahann R, Möller T, Schmidt J. Histogram binning revisited with a focus on human perception: VIS2021 - short paper 1171. 2021. Paper presented at IEEE VIS 2021, United States.

Bomze I, Rinaldi F, Zeffiro D. Frank–Wolfe and friends: a journey into projection-free first-order optimization methods. 4 OR. 2021 Sep 6;19(3):313-345. doi: 10.1007/s10288-021-00493-y

Westermayr J, Marquetand P. Machine learning for electronically excited states of molecules. Chemical Reviews. 2021 Aug 25;121(16):9873-9926. doi: 10.1021/acs.chemrev.0c00749

Verdun CM, Fuchs T, Harár P, Elbrächter D, Fischer DS, Berner J et al. Group Testing for SARS-CoV-2 Allows for Up to 10-Fold Efficiency Increase Across Realistic Scenarios and Testing Strategies. Frontiers in Public Health. 2021 Aug 18;9:1205. 583377. doi: 10.3389/fpubh.2021.583377

Bauer L, Leiber C, Schelling B, Boehm C, Plant C. Dip-based Deep Embedded Clustering with k-Estimation. In KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining: August 14 - 18, 2021. New York, NY: Association for Computing Machinery (ACM). 2021. p. 903-913 doi: https://doi.org/10.1145/3447548.3467316

Archakov I, Hansen PR. A New Parametrization of Correlation Matrices. Econometrica. 2021 Jul;89(4):1699-1715.

Bohm C, Perdacher M, Plant C. A Novel Hilbert Curve for Cache-locality Preserving Loops. IEEE Transactions on Big Data. 2021 Jun 1;7(2):241-254. Epub 2018. doi: 10.1109/TBDATA.2018.2830378

Elbrächter D, Perekrestenko D, Grohs P, Bölcskei H. Deep Neural Network Approximation Theory. IEEE TRANSACTIONS ON INFORMATION THEORY. 2021 May;67(5):2581-2623. 9363169. doi: https://doi.org/10.1109/TIT.2021.3062161

Sun X, Yu Y, Liang Y, Dong J, Plant C, Böhm C. Fusing Attributed and Topological Global-Relations for Network Embedding. Information Sciences. 2021 May;558:76-90. Epub 2021 Jan 27. doi: 10.1016/j.ins.2021.01.012

Kinast A, Dörner K, Rinderle-Ma S. Biased random-key genetic algorithm for cobot assignment in an assembly/disassembly job shop scheduling problem. 2021. Paper presented at International Conference on Industry 4.0 and Smart Manufacturing 2020, Unknown.

Kaufman B, Rozgonyi T, Marquetand P, Weinacht T. Competition between dynamic resonance and internal conversion in strong-field molecular ionization with chirped ultrafast laser pulses. Physical Review A. 2021 Feb 15;103(2):023108. doi: 10.1103/PhysRevA.103.023108

Bomze I, Schachinger W, Weibull J. Does moral play equilibrate? Economic Theory. 2021 Feb;71(1):305-315. Epub 2020 Jan 22. doi: 10.1007/s00199-020-01246-4

Showing entries 121 - 140 out of 237