Konstantin Posch

According to our database, Konstantin Posch authored at least 6 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks.

Konstantin Posch, Jürgen Pilz

IEEE Trans. Neural Networks Learn. Syst., 2021

2020

Measuring the Uncertainty of Predictions in Deep Neural Networks with Variational Inference.

Jan Steinbrener, Konstantin Posch, Jürgen Pilz

Sensors, 2020

A novel Bayesian approach for variable selection in linear regression models.

Konstantin Posch, Maximilian Arbeiter, Jürgen Pilz

Comput. Stat. Data Anal., 2020

A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants.

Konstantin Posch, Christian Truden, Philipp Hungerländer, Jürgen Pilz

CoRR, 2020

2019

Variational Inference to Measure Model Uncertainty in Deep Neural Networks.

Konstantin Posch, Jan Steinbrener, Jürgen Pilz

CoRR, 2019

Hyperspectral fruit and vegetable classification using convolutional neural networks.

Jan Steinbrener, Konstantin Posch, Raimund Leitner

Comput. Electron. Agric., 2019