Publications

Dirk Väth, Pascal Tilli, und Ngoc Thang Vu. Beyond Accuracy: A Consolidated Tool for Visual Question Answering Benchmarking. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 114--123, 2021. [PUMA: EXC2075 PN6 PN6-5 PN6-5(II) selected]

Raphael Leiteritz, Marcel Hurler, und Dirk Pflüger. Learning Free-Surface Flow with Physics-Informed Neural Networks. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), 1664-1669, 2021. [PUMA: EXC2075 PN6 PN6-2 selected]

Viktor Zaverkin, David Holzmüller, Henrik Christiansen, Federico Errica, Francesco Alesiani, Makoto Takamoto, Mathias Niepert, und Johannes Kästner. Uncertainty-biased molecular dynamics for learning uniformly accurate interatomic potentials. npj Comput. Mater., (10):83, 2024. [PUMA: EXC2075 PN6 PN6A-1 selected] URL

Juan Elenter, Luiz F. O. Chamon, und Alejandro Ribeiro. Near-optimal solutions of constrained learning problems. International Conference on Learning Representations~(ICLR), 2024. [PUMA: EXC2075 PN6 PN6-13 selected]

Gleb Tkachev, Steffen Frey, und Thomas Ertl. Local Prediction Models for Spatiotemporal Volume Visualization. IEEE Transactions on Visualization and Computer Graphics, 2019. [PUMA: EXC2075 PN6 PN6-6 selected unclear] URL

Karsten Schatz, Christoph Müller, Patrick Gralka, Moritz Heinemann, Alexander Straub, Christoph Schulz, Matthias Braun, Tobias Rau, Michael Becher, Steffen Frey, Guido Reina, Michael Sedlmair, Daniel Weiskopf, Thomas Ertl, Patrick Diehl, Dominic Marcello, Juhan Frank, und Thomas Müller. 2019 IEEE Scientific Visualization Contest Winner: Visual Analysis of Structure Formation in Cosmic Evolution. IEEE Computer Graphics and Applications, (41)6:101-110, 2021. [PUMA: EXC2075 PN6 PN6-6 selected] URL

Ilyass Tabiai, Gleb Tkachev, Patrick Diehl, Steffen Frey, Thomas Ertl, Daniel Therriault, und Martin Levesque. Hybrid image processing approach for autonomous crack area detection and tracking using local digital image correlation results applied to single-fiber interfacial debonding. Engineering Fracture Mechanics, (216):106485, Elsevier Science, 2019. [PUMA: EXC2075 PN6 PN6-6 selected]

Moritz Heinemann, Steffen Frey, Gleb Tkachev, Alexander Straub, Filip Sadlo, und Thomas Ertl. Visual analysis of droplet dynamics in large-scale multiphase spray simulations. Journal of Visualization, (24)5:943--961, 04.05.2021. [PUMA: EXC2075 PN6 PN6-6 selected] URL

Tanja Munz. VisME software v1.2. Zenodo, 2019. [PUMA: EXC2075 PN6 PN6-4 selected] URL

Tanja Munz, Dirk Väth, Paul Kuznecov, Ngoc Thang Vu, und Daniel Weiskopf. Visualization-based improvement of neural machine translation. Computers & Graphics, (103):45-60, 2022. [PUMA: EXC2075 PN6 PN6-4 selected] URL

Anna Penzkofer, Lei Shi, und Andreas Bulling. VSA4VQA: Scaling A Vector Symbolic Architecture To Visual Question Answering on Natural Images. Proc. 46th Annual Meeting of the Cognitive Science Society (CogSci), 2024. [PUMA: EXC2075 PN6 PN6-11 selected]

Lucca Pfitzer, Juliane Heitkämper, Johannes Kästner, und R. Peters. Use of the N–O Bonds in N-Mesyloxyamides and N-Mesyloxyimides To Gain Access to 5-Alkoxy-3,4-dialkyloxazol-2-ones and 3-Hetero-Substituted Succinimides: A Combined Experimental and Theoretical Study. Synthesis, (55)26:2460-2472, 2023. [PUMA: EXC2075 PN2 PN2-3(1) PN3 PN6 PN6-6 selected]

Tizian Wenzel, Marius Kurz, Andrea Beck, Gabriele Santin, und Bernard Haasdonk. Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows. In Ivan Lirkov, und Svetozar Margenov (Hrsg.), Large-Scale Scientific Computing, 410--418, Springer International Publishing, Cham, 2022. [PUMA: EXC2075 PN1 PN1-1 PN6 PN6-1 selected]

Manuel Álvarez Chaves, Hoshin V. Gupta, Uwe Ehret, und Anneli Guthke. On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data. Entropy, (26)52024. [PUMA: EXC2075 PN6 PN6A-4 selected] URL

Tanja Munz-Körner, und Daniel Weiskopf. Exploring visual quality of multidimensional time series projections. Visual Informatics, 2024. [PUMA: EXC2075 PN6 PN6-4(II) selected]

Tanja Munz-Körner, und Daniel Weiskopf. Supplemental Material for "Exploring Visual Quality of Multidimensional Time Series Projections". DaRUS, 2024. [PUMA: EXC2075 PN6 PN6-4(II) selected] URL

Viktor Zaverkin, David Holzmüller, Robin Schuldt, und Johannes Kästner. Predicting properties of periodic systems from cluster data: A case study of liquid water. The Journal of Chemical Physics, (156)11:114103, 2022. [PUMA: EXC2075 PN3 PN3-4 PN6 PN6-3 PN6A-1 selected] URL

Noel Schäfer, Sebastian Künzel, Tanja Munz-Körner, Pascal Tilli, Sandeep Vidyapu, Ngoc Thang Vu, und Daniel Weiskopf. Visual Analysis of Scene-Graph-Based Visual Question Answering. Proceedings of the 16th International Symposium on Visual Information Communication and Interaction, 1–8, Association for Computing Machinery, New York, NY, USA, 20.10.2023. [PUMA: EXC2075 PN6 PN6-4(II) selected] URL

Viktor Zaverkin, David Holzmüller, Ingo Steinwart, und Johannes Kästner. Exploring chemical and conformational spaces by batch mode deep active learning. Digital Discovery, (1):605-620, 2022. [PUMA: EXC2075 PN6 PN6-3 PN6A-1 selected]

David Holzmüller. On the Universality of the Double Descent Peak in Ridgeless Regression. International Conference on Learning Representations, 2021. [PUMA: EXC2075 PN6 PN6-3 selected] URL