Neil Kichler

M. Sc. RWTH

Contact Details

• Mail 
  Informatik 12: Software and Tools for Computational Engineering
  RWTH Aachen University
  D-52056 Aachen, Germany
• Office: Seffenter Weg 23, 52074 Aachen
• Room: 229
• Email: kichler@stce.rwth-aachen.de
• Researcher at STCE: since 2023
• Office Hours: on request
  
  

Research

• Surrogate Modelling via (second-order) Differential Machine Learning
• Algorithmic Differentiation (AD) of McCormick Relaxations on the GPU
  
  

Publications

• 2023
  • Kichler N., Afghan S., Naumann, U.: Towards Sobolev Pruning. Preprint on arxiv (2023).
    
  • Atashgahi Z., Zhang X., Kichler N., Liu S., Yin L., Pechenizkiy M., Veldhuis R., Mocanu D.C.: Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks. Accepted in Transactions on Machine Learning Research (TMLR).

Talks

• 2023
  • 26th European Workshop on Automatic Differentiation, RWTH Aachen, Germany:
    Second-Order Differential Machine Learning (Website)
    
    
  • Quantminds International, London, UK:
    Second-Order Differential Machine Learning (Poster)