Publications

Sarasola B, Dörner KF. Adaptive large neighborhood search for the vehicle routing problem with synchronization constraints at the delivery location. Networks (New York): an international journal. 2020 Jan;75(1):64-85. Epub 2019 Sept 14. doi: 10.1002/net.21905

Bot RI , Sedlmayer M, Phan TV. A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving Monotone Inclusions with Application to GANs. arXiv.org. 2020. doi: https://arxiv.org/abs/2003.07886

Bomze I, Rinaldi F, Zeffiro D. Active Set Complexity of the Away-Step Frank--Wolfe Algorithm. SIAM Journal on Optimization. 2020;30(3):2470-2500. Epub 2020 Sept 16. doi: 10.1137/19M1309419

Kivaranovic D, Johnson K, Leeb H. Adaptive, distribution-free prediction intervals for deep neural networks. Proceedings of Machine Learning Research. 2020;108:4346-4356.

Plant C, Biedermann S, Böhm C. Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning. In KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020. ACM. 2020. p. 1212-1222

Miklautz L, Mautz D, Altinigneli MC, Böhm C, Plant C. Deep Embedded Non-Redundant Clustering. Proceedings of the ... National Conference on Artificial Intelligence. 2020;34(04):5174-5181. doi: 10.1609/aaai.v34i04.5961

Beiglböck M, Cebula P, Eder M , Grass A , Hermisson J, Hledik M et al.. EpiMath Austria: COVID-19 Modellierung am Beispiel Österreich 2020.

Altinigneli MC, Miklautz L, Böhm C, Plant C. Hierarchical Quick Shift Guided Recurrent Clustering. In 36th IEEE International Conference on Data Engineering, ICDE 2020, Dallas, TX, USA, April 20-24, 2020. IEEE. 2020. p. 1842-1845

Behzadi S, Schelling B, Plant C. ITGH: Information-Theoretic Granger Causal Inference on Heterogeneous Data. In Lauw H, Wong RW, Ntoulas A, Lim EP, Ng SK, Pan S, editors, Advances in Knowledge Discovery and Data Mining. PAKDD 2020. Cham: Springer. 2020. p. 742-755. (Lecture Notes in Computer Science, Vol. 12085).

Plant C , Böhm C. Massively Parallel Random Number Generation. In Wu XT, Jermaine C, Xiong L, Hu XH, Kotevska O, Lu SY, Xu WJ, Aluru S, Zhai CX, Al-Masri E, Chen ZY, Saltz J, editors, 2020 IEEE International Conference on Big Data: Dec 10-Dec 13, 2020, virtual event : proceedings. Piscataway, NJ: IEEE. 2020. p. 413-419 Epub 2020. doi: 10.1109/BigData50022.2020.9377814

Berner J, Dablander M, Grohs P. Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning. In Larochelle H, Ranzato M, Hadsell R, Balcan MF, Lin H, editors, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. Cambridge, Mass.: MIT Press. 2020. (Advances in neural information processing systems : ... proceedings of the ... conference, Vol. 33). doi: https://proceedings.neurips.cc/paper/2020/file/c1714160652ca6408774473810765950-Paper.pdf

Benda F, Braune R, Dörner KF , Hartl R. A machine learning approach for flow shop scheduling problems with alternative resources, sequence-dependent setup times, and blocking. OR Spectrum. 2019 Dec;41(4):871-893. 47. doi: 10.1007/s00291-019-00567-8

Wolfinger D, Tricoire F, Dörner KF. A matheuristic for a multimodal long haul routing problem. EURO Journal on Transportation and Logistics. 2019 Dec;8(4): 397–433. Epub 2018 Aug 22. doi: 10.1007/s13676-018-0131-1

Bauer L , Grohs P, Wohlschläger A, Plant C. Planting Synchronisation Trees for Discovering Interaction Patterns among Brain Regions. In Papapetrou P, Cheng X, He Q, editors, Proceedings - 19th IEEE International Conference on Data Mining Workshops, ICDMW 2019: 8–11 November 2019 Beijing, China. Piscataway, NJ: IEEE. 2019. p. 1035-1036. 8955527. (International Conference on Data Mining workshops). doi: 10.1109/ICDMW.2019.00149

Amaral PA, Bomze IM. Nonconvex min–max fractional quadratic problems under quadratic constraints: copositive relaxations. Journal of Global Optimization. 2019 Oct;75(2):227–245. Epub 2019 May 9. doi: 10.1007/s10898-019-00780-3

Bomze IM, Cheng J, Dickinson PJC, Lisser A, Liu J. Notoriously hard (mixed-)binary QPs: empirical evidence on new completely positive approaches. Computational Management Science. 2019 Oct;16(4):593-619. Epub 2018 Nov 26. doi: 10.1007/s10287-018-0337-6

Hautsch N, Voigt S. Large-Scale Portfolio Allocation Under Transaction Costs and Model Uncertainty. Journal of Econometrics. 2019 Sept;212(1):221-240. doi: 10.1016/j.jeconom.2019.04.028

Felberbauer T, Gutjahr W , Dörner KF. Stochastic project management: Multiple projects with multi-skilled human resources. Journal of Scheduling. 2019 Jun 15;22(3):271-288. Epub 2018 Dec 17. doi: 10.1007/s10951-018-0592-y

Fröhler BW, Elberfeld T, Möller T, Hege HC, Weissenböck J, de Beenhouwer J et al. A Visual Tool for the Analysis of Algorithms for Tomographic Fiber Reconstruction in Materials Science. Computer Graphics Forum. 2019 Jun;38(3):273-283. doi: 10.1111/cgf.13688

Leeb H , Pötscher B, Kivaranovic D. Discussion on "Model confidence bounds for variable selection" by Yang Li, Yuetian Luo, Davide Ferrari, Xiaonan Hu, and Yichen Qin. Biometrics. 2019 Jun;75(2):407-410. doi: 10.1111/biom.13021