Selected Publications

A full list can be found here.

• M. Blacher, J. Giesen, J. Klaus, Ch. Staudt, S. Laue, V. Leis.
  Efficient and Portable Einstein Summation in SQL, SIGMOD 2023.
  
  
• M. Mitterreiter, M. Koch, J. Giesen, S. Laue.
  Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption, AAAI 2023.
  
  
• J. Giesen, J. Klaus, S. Laue, N. Merk, and K. Wiedom.
  Convexity Certificates from Hessians, NeurIPS 2022.
  
  
• S. Laue, M. Blacher, and J. Giesen.
  Optimization for Classical Machine Learning Problems on the GPU, AAAI 2022.
  
  
• S. Laue, M. Mitterreiter, and J. Giesen.
  A Simple and Efficient Tensor Calculus, AAAI 2020.
  
  
• S. Laue, M. Mitterreiter, and J. Giesen.
  GENO - GENeric Optimization for Classical Machine Learning, NeurIPS 2019.
  
  
• J. Giesen, S. Laue, A. Loehne, and Ch. Schneider.
  Using Benson’s Algorithm for Regularization Parameter Tracking, AAAI 2019.
  
  
• S. Laue, M. Mitterreiter, and J. Giesen.
  Computing Higher Order Derivatives for Matrix and Tensor Expressions, NeurIPS 2018.
  
  
• M. Rohrbach, A. Rohrbach, M. Regneri, S. Amin, M. Andriluka, M. Pinkal, and B. Schiele.
  Recognizing Fine-Grained and Composite Activities Using Hand-Centric Features and Script Data.
  International Journal of Computer Vision (IJCV) 119, 346–373, 2016
  
  
• K. Blechschmidt, J. Giesen, and S. Laue.
  Tracking of Approximate Solutions of Parameterized Optimization Problems over Multi-Dimensional (Hyper-)Parameter Domains, ICML 2015.
  
  
• J. Giesen, S. Laue, and P. Wieschollek.
  Robust and Efficient Kernel Hyperparameter Paths with Guarantees, ICML 2014.
  
  
• M. Regneri, M. Rohrbach, D. Wetzel, S. Thater, B. Schiele and M. Pinkal:
  Grounding Action Descriptions in Videos. ACL Transactions (TACL), Volume 1, 2013.
  
  
• J. Giesen, S. Laue, J. Mueller, and S. Swiercy.
  Approximating Concavely Parameterized Optimization Problems, NIPS 2012.
  
  
• S. Laue.
  A Hybrid Algorithm for Convex Semidefinite Optimization, ICML 2012.
  
  
• M. Rohrbach, M. Regneri, M. Andriluka, S. Amin, M. Pinkal, and B. Schiele:
  Script Data for Attribute-based Recognition of Composite Activities. ECCV 2012.