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 Modeling via (second-order) Differential Machine Learning / Sobolev Training
- AD of Interval Arithmetic / McCormick Relaxations — and vice versa — on the GPU:
Publications
- 2024
- Kichler N., Afghan S., Naumann, U.: Towards Sobolev Pruning. In the Proceedings of the Platform for Advanced Scientific Computing (PASC).
- 2023
Talks
- 2025
- SIAM Conference on Computational Science and Engineering (CSE25), Fort Worth, USA:
Relaxed Algorithmic Differentiation (Slides) - Workshop on Differentiable Parallel Programming 2025, Las Vegas, USA:
Relaxed Differentiation and Differentiation of Relaxations (Slides)
- SIAM Conference on Computational Science and Engineering (CSE25), Fort Worth, USA:
- 2024
- Platform for Advanced Scientific Computing (PASC) Conference, ETH Zurich, Switzerland:
Towards Sobolev Pruning (Slides)
- Platform for Advanced Scientific Computing (PASC) Conference, ETH Zurich, Switzerland:
- 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)
- 26th European Workshop on Automatic Differentiation, RWTH Aachen, Germany:
Teaching
- Introduction to Algorithmic Differentiation: WS24/25
- Introduction to Numerical Methods: SS25