Publications

Showing entries 21 - 40 out of 160
Molnar C, König G, Herbinger J, Freiesleben T, Dandl S, Scholbeck CA et al. General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models. In Holzinger A, Goebel R, Fong R, Moon T, Müller K-R, Samek W, editors, xxAI - Beyond Explainable AI: International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers. 1 ed. Vol. Lecture Notes in Computer Science. Cham: Springer, Cham. 2022. p. 39-68. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-031-04083-2_4

Oettershagen L, Mutzel P, Kriege NM. Temporal Walk Centrality: Ranking Nodes in Evolving Networks. In Laforest F, Troncy R, editors, WWW 2022 - Proceedings of the ACM Web Conference 2022. New York, NY: Association for Computing Machinery (ACM). 2022. p. 1640-1650 https://doi.org/10.48550/arXiv.2202.03706, https://doi.org/10.1145/3485447.3512210

Leiber C, Mautz D, Plant C, Böhm C. Automatic Parameter Selection for Non-Redundant Clustering. In Banerjee A, Zhou Z-H, Papalexakis EE, Riondato M, editors, Proceedings of the 2022 SIAM International Conference on Data Mining, SDM 2022, Alexandria, VA, USA, April 28-30, 2022. SIAM. 2022. p. 226-234 https://doi.org/10.1137/1.9781611977172.26

Wu H, Tan S, Li W, Garrard M, Obeng A, Dimmery D et al. Distilling Heterogeneity: From Explanations of Heterogeneous Treatment Effect Models to Interpretable Policies. 2022. Paper presented at 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Washington DC, District of Columbia, United States.

Gerard L, Scherbela M, Marquetand P, Grohs P. Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need?. 2022. Paper presented at Thirty-sixth Conference on Neural Information Processing Systems, New Orleans, United States.

Arbour D, Dimmery D, Mai T, Rao A. Online Balanced Experimental Design. 2022. Paper presented at International Conference on Machine Learning (ICML), Baltimore, United States.

Showing entries 21 - 40 out of 160