Jürgen Pilz

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Konstantin Posch

> Home > Persons > Jürgen Pilz

Publications

2021
[j17]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/tnn/PoschP21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tnn/PoschP21
Konstantin Posch, Jürgen Pilz:
Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1037-1051 (2021)
2020
[j16]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/csda/PoschAP20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/csda/PoschAP20
Konstantin Posch, Maximilian Arbeiter, Jürgen Pilz:
A novel Bayesian approach for variable selection in linear regression models. Comput. Stat. Data Anal. 144: 106881 (2020)
[j15]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/sensors/SteinbrenerPP20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/sensors/SteinbrenerPP20
Jan Steinbrener, Konstantin Posch, Jürgen Pilz:
Measuring the Uncertainty of Predictions in Deep Neural Networks with Variational Inference. Sensors 20(21): 6011 (2020)
[i4]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2005-12647
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2005-12647
Konstantin Posch, Christian Truden, Philipp Hungerländer, Jürgen Pilz:
A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants. CoRR abs/2005.12647 (2020)
2019
[i2]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1902-10189
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1902-10189
Konstantin Posch, Jan Steinbrener, Jürgen Pilz:
Variational Inference to Measure Model Uncertainty in Deep Neural Networks. CoRR abs/1902.10189 (2019)
[i1]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1904-01334
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1904-01334
Konstantin Posch, Jürgen Pilz:
Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks. CoRR abs/1904.01334 (2019)

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.