Publications

Steffen Limmer, Steffen Udluft, Clemens Otte (2024). Neural-ANOVA: Analytical Model Decomposition using Automatic Integration . In MLSP 2025.

Steffen Limmer, Alberto Martinez Alba, Nicola Michailow (2023). Physics-informed neural networks for pathloss prediction. In MLSP 2023.

Steffen Limmer, Slawomir Stanczak (2018). A neural architecture for Bayesian compressive sensing over the simplex via Laplace techniques. IEEE Transactions on Signal Processing.

Steffen Limmer, Slawomir Stanczak (2016). Towards optimal nonlinearities for sparse recovery using higher-order statistics. 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

Steffen Limmer, Jafar Mohammadi, Sławomir Sta\ʼnczak (2015). A simple algorithm for approximation by nomographic functions. 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton).