Wissenschaftliche Publikationen - AG "Intelligente Sensorik"

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2021

M. Fey, J. E. Lenssen, F. Weichert and J. Leskovec, "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" , International Conference on Machine Learning (ICML) 2021 (accepted for publication), 2021.

2020

M. Fey, J. E. Lenssen, C. Morris, J. Masci and N. Kriege, "Deep Graph Matching Consensus" in International Conference on Learning Representations (ICLR), 2020.
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M. Fey, J. Yuen and F. Weichert, "Hierarchical Inter-Message Passing for Learning on Molecular Graphs" in ICML Graph Representation Learning and Beyond (GRL+) (accepted for publication), 2020.
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M. Kleineberg, M. Fey and F. Weichert, "Adversarial Generation of Continuous Implicit Shape Representations" in Eurographics, 2020.
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2019

M. Fey and J. E. Lenssen, "Fast Graph Representation Learning with PyTorch Geometric" in ICLR Workshop on Representation Learning on Graphs and Manifolds, 2019.
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W. Tillmann, C. Schaak, J. Zajaczkowski, H. Müller, D. Hegels, M. Gaspar, B. Kuhlenkötter and D. D. Störkle, "Investigation of a procedure for the simulation-based optimisation of robot paths for thermal spraying" , Thermal Spray Bulletin, vol. 12, pp. 89-97, 2019.
M. Fey, "Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks" in ICLR Workshop on Representation Learning on Graphs and Manifolds, 2019.
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C. Morris, M. Ritzert, M. Fey, W. L. Hamilton, J. E. Lenssen, G. Rattan and M. Grohe, "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks" in 33rd AAAI Conference on Artificial Intelligence (AAAI-19), 2019.
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2018

M. Fey, J. E. Lenssen, F. Weichert and H. Müller, "SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. pp. 869-877.
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J. E. Lenssen, M. Fey and P. Libuschewski, "Group Equivariant Capsule Networks" in Neural Information Processing Systems (NIPS) 32, 2018.
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N. Kriege, M. Fey, D. Fisseler, P. Mutzel and F. Weichert, "Recognizing Cuneiform Signs Using Graph Based Methods" in International Workshop on Cost-Sensitive Learning (COST), 2018.
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W. Tillmann, C. Schaak, J. Zajaczkowski, H. Müller, D. Hegels, M. Gaspar, B. Kuhlenkötter and D. D. Störkle, "Investigation into the properties of HVOF-sprayed WC-Co coatings on plane and complex surfaces, manufactured with an evolution-based path planning method" , Thermal Spray Bulletin, vol. 11, 2018.

2006

M. Otten and H. Müller, "Automatic Tracking of Interactive Virtual Players by Cameras Using a Voronoi Freespace Representation" , Research Report 2006, Fachbereich Informatik, Universität Dortmund, 44221 Dortmund, Germany, 2006.
X. Ren, B. Kuhlenkötter and H. Müller, "Simulation and verification of belt grinding with industrial robots" , International Journal of Machine Tools \& Manufacture, vol. 46, pp. 708-716, 2006.
X. Ren, H. Müller and B. Kuhlenkötter, "Surfel-based Surface modeling for robotic belt grinding simulation" , Journal of Zhejiang University - Science A, vol. 7(7), pp. 1215 - 1224, 2006. Zhejiang University Press, co-published with Springer-Verlag GmbH.

1991

H. Müller and M. Otte, "Solving algebraic systems in Bernstein-Bezier repräsentation" in Computional Geometry, Lecture Notes in Computer Science, Springer-Verlag, 1991, pp. 161-169.
H. Müller, J. Winckler, S. Grzybek, M. Otte, B. Stoll, F. Equoy and N. Higelin, "The program animation system PASTIS" in The Journal of Visualization and Computer Animation 2, Springer-Verlag, 1991, pp. 26-33.