Philipp Christian Petersen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Backpropagation Neural Networks

Emission Tomography

Inverse Problems

Top Venues

Adv. Comput. Math.

Neural Networks

Publications

Clemens Karner, Vladimir A. Kazeev, Philipp Christian Petersen
Limitations of neural network training due to numerical instability of backpropagation. Adv. Comput. Math. 50 (1) (2024)
A. Martina Neuman, Philipp Christian Petersen
Efficient Learning Using Spiking Neural Networks Equipped With Affine Encoders and Decoders. CoRR (2024)
Philipp Christian Petersen, Anna Sepliarskaia
VC dimensions of group convolutional neural networks. Neural Networks 169 (2024)
Adeyemi D. Adeoye, Philipp Christian Petersen, Alberto Bemporad
Regularized Gauss-Newton for Optimizing Overparameterized Neural Networks. CoRR (2024)
Simon Frieder, Luca Pinchetti, Ryan-Rhys Griffiths, Tommaso Salvatori, Thomas Lukasiewicz, Philipp Christian Petersen, Alexis Chevalier, Julius Berner
Mathematical Capabilities of ChatGPT. CoRR (2023)
Andrés Felipe Lerma Pineda, Philipp Christian Petersen
Deep neural networks can stably solve high-dimensional, noisy, non-linear inverse problems. CoRR (2022)
Philipp Christian Petersen, Anna Sepliarskaia
VC dimensions of group convolutional neural networks. CoRR (2022)
Clemens Karner, Vladimir A. Kazeev, Philipp Christian Petersen
Limitations of neural network training due to numerical instability of backpropagation. CoRR (2022)
Dominik Alfke, Weston Baines, Jan Blechschmidt, Mauricio J. del Razo Sarmina, Amnon Drory, Dennis Elbrächter, Nando Farchmin, Matteo Gambara, Silke Glas, Philipp Grohs, Peter Hinz, Danijel Kivaranovic, Christian Kümmerle, Gitta Kutyniok, Sebastian Lunz, Jan MacDonald, Ryan Malthaner, Gregory Naisat, Ariel Neufeld, Philipp Christian Petersen, Rafael Reisenhofer, Jun-Da Sheng, Laura Thesing, Philipp Trunschke, Johannes von Lindheim, David Weber, Melanie Weber
The Oracle of DLphi. CoRR (2019)