Search Results for author: Hans-Peter Beise

Found 4 papers, 1 papers with code

Topological properties of basins of attraction and expressiveness of width bounded neural networks

no code implementations10 Nov 2020 Hans-Peter Beise, Steve Dias Da Cruz

In Radhakrishnan et al. [2020], the authors empirically show that autoencoders trained with usual SGD methods shape out basins of attraction around their training data.

A Hybrid Objective Function for Robustness of Artificial Neural Networks -- Estimation of Parameters in a Mechanical System

no code implementations16 Apr 2020 Jan Sokolowski, Volker Schulz, Udo Schröder, Hans-Peter Beise

We introduce a convolutional neural network architecture that given sequential data predicts the parameters of the underlying data's dynamics.

SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark

1 code implementation10 Jan 2020 Steve Dias Da Cruz, Oliver Wasenmüller, Hans-Peter Beise, Thomas Stifter, Didier Stricker

We release SVIRO, a synthetic dataset for sceneries in the passenger compartment of ten different vehicles, in order to analyze machine learning-based approaches for their generalization capacities and reliability when trained on a limited number of variations (e. g. identical backgrounds and textures, few instances per class).

Instance Segmentation object-detection +3

On decision regions of narrow deep neural networks

no code implementations3 Jul 2018 Hans-Peter Beise, Steve Dias Da Cruz, Udo Schröder

We show that for neural network functions that have width less or equal to the input dimension all connected components of decision regions are unbounded.

Cannot find the paper you are looking for? You can Submit a new open access paper.