3 papers
cs.LG2020
A Hybrid Objective Function for Robustness of Artificial Neural Networks -- Estimation of Parameters in a Mechanical System
Jan Sokolowski, Volker Schulz, Udo Schröder +1
In several studies, hybrid neural networks have proven to be more robust against noisy input data compared to plain data driven neural networks. We consider the task of estimating…
cs.CV2020
SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark
Steve Dias Da Cruz, Oliver Wasenmüller, Hans-Peter Beise +2
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 generali…
cs.LG2018
On decision regions of narrow deep neural networks
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. The result holds for cont…