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Recent Publications:

You can also find a full list of our publications on Google Scholar2021

2022

  • P. Mueller, A. Braun and M. Keuper, Impact of realistic properties of the point spread function on classification tasks to reveal a possible distribution shift, NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and Applications, 2022.
  • Y. Li, D. Zhang, M. Keuper, A. Khoreva, Intra-Source Style Augmentation for Improved Domain Generalization, accepted to WACV 2023.
  • Y. Zhou, W., Xiang, C. Li, B. Wang, X. Wei, L. Zhang, M. Keuper, X., Hua, SP-VIT: Learning 2D Spatial Priors for Vision Transformers, accepted to BMVC 2022.
  • J. Grabinski, P. Gavrikov, J. Keuper, M. Keuper, Robust Models are Less Over-Confident, accepted to NeurIPS 2022. 
  • A. Saseendran, K. Skubsch, S. Falkner, M. Keuper, Trading-off Image Quality for Robustness is not necessary with Regularized Deterministic Autoencoders, accepted to NeurIPS 2022.
  • J. Lukasik, S. Jung, M. Keuper, Learning Where to Look -- Generative NAS is Surprisingly Efficient, accepted to ECCV 2022.
  • J. Grabinski, S. Jung, J. Keuper, M. Keuper, FrequencyLowCut Pooling -- Plug & Play against Catastrophic Overfitting, accepted to ECCV 2022.
  • J. Grabinski, J. Keuper, M. Keuper, Aliasing and adversarial robust generalizaiton of CNNs, Machine Learning, 2022.
  • S. Jung, M. Keuper, Learning to solve Minimum Cost Multicuts efficiently using Edge-Weighted Graph Convolutional Neural Networks,  accepted to ECML-PKDD 2022.
  • S. Jung, S. Ziegler, A. Kardoost, M. Keuper, Optimizing Edge Detection for Image Segmentation with Multicut Penalties, GCPR 2022.
  • J. Siems, L. Zimmer, A. Zela, J. Lukasik, M. Keuper and F. Hutter, NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search, ICLR, 2022 

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