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Technische Universität München
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Research Interests

My research interest lies in Deep Learning, in particular concentrating on applying them to structured data that's not the ubiquitous image or sequence data. I am therefore concentrating on Graph Neural Networks.

Publications

2020

  • Brendel, Wieland; Rauber, Jonas; Kurakin, Alexey; Papernot, Nicolas; Veliqi, Behar; Mohanty, Sharada P.; Laurent, Florian; Salathé, Marcel; Bethge, Matthias; Yu, Yaodong; Zhang, Hongyang; Xu, Susu; Zhang, Hongbao; Xie, Pengtao; Xing, Eric P.; Brunner, Thomas; Diehl, Frederik; Rony, Jérôme; Hafemann, Luiz Gustavo; Cheng, Shuyu; Dong, Yinpeng; Ning, Xuefei; Li, Wenshuo; Wang, Yu: Adversarial Vision Challenge. In: Escalera, Sergio; Herbrich, Ralf (Hrsg.): The NeurIPS '18 Competition. Springer International Publishing, 2020, 129-153 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)

2019

  • Brunner, Thomas; Diehl, Frederik; Knoll, Alois: Copy and Paste: A Simple But Effective Initialization Method for Black-Box Adversarial Attacks. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) , 2019Long Beach, CA, USA mehr… BibTeX Volltext (mediaTUM)
  • Brunner, Thomas; Diehl, Frederik; Truong Le, Michael; Knoll, Alois: Leveraging Semantic Embeddings for Safety-Critical Applications. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE, 2019Long Beach, CA, USA, 1389-1394 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
  • Brunner, Thomas; Diehl, Frederik; Truong Le, Michael; Knoll, Alois: Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks. 2019 IEEE/CVF International Conference on Computer Vision (ICCV), IEEE, 2019Seoul, South Korea, 4957-4965 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
  • Diehl, Frederik: Edge Contraction Pooling for Graph Neural Networks. CoRR abs/1905.10990, 2019 mehr… BibTeX
  • Diehl, Frederik; Knoll, Alois: Tree Memory Networks for Sequence Processing. In: Lecture Notes in Computer Science. Springer International Publishing, 2019 mehr… BibTeX Volltext ( DOI )
  • Frederik Diehl, Thomas Brunner, Michael Truong Le and Alois Knoll: Towards Graph Pooling by Edge Contraction. ICML 2019 Workshop on Learning and Reasoning with Graph-Structured Data, 2019 mehr… BibTeX Volltext (mediaTUM)
  • Frederik Diehl, Thomas Brunner, Michael Truong Le, Alois Knoll: Graph Neural Networks for Modelling Traffic Participant Interaction. IEEE Intelligent Vehicles Symposium 2019, 2019 mehr… BibTeX Volltext (mediaTUM)
  • Kessler, Tobias; Bernhard, Julian; Buechel, Martin; Esterle, Klemens; Hart, Patrick; Malovetz, Daniel; Truong Le, Michael; Diehl, Frederik; Brunner, Thomas; Knoll, Alois: Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving. 2019 IEEE Intelligent Vehicles Symposium (IV), IEEE, 2019 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)

2018

  • Cheng, Chih-Hong; Diehl, Frederik; Hinz, Gereon; Hamza, Yassine; Nührenberg, Georg; Rickert, Markus; Rueß, Harald; Truong-Le, Michael: Neural Networks for Safety-Critical Applications - Challenges, Experiments and Perspectives. Proceedings of the Design, Automation & Test in Europe Conference & Exhibition (DATE), 2018 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
  • Michael Truong Le, Frederik Diehl, Thomas Brunner, Alois Knoll: Uncertainty Estimation for Deep Neural Object Detectors in Safety-Critical Applications. International Conference on Intelligent Transportation Systems 2018, 2018 mehr… BibTeX Volltext (mediaTUM)

2017

  • Lenz, David; Diehl, Frederik; Le, Michael Truong; Knoll, Alois: Deep neural networks for Markovian interactive scene prediction in highway scenarios. 2017 IEEE Intelligent Vehicles Symposium (IV), IEEE, 2017, 685-692 mehr… BibTeX Volltext ( DOI )
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