Jonas Schneider

Researcher, e:fs TechHub GmbH

Joined

November 2023

Names

Jonas Schneider (Preferred)

Emails

****@gmail.com (Confirmed)

****@efs-techhub.com (Confirmed)

Personal Links

DBLP

Career & Education History

Researcher

e:fs TechHub GmbH (efs-techhub.com)

2017 – Present

Advisors, Relations & Conflicts

PhD Advisor

Werner Brockmann

2014 – 2017

Expertise

Artificial Intelligence

Machine Learning

2014 – Present

Publications

Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection
Fabian Küppers, Jonas Schneider, Anselm Haselhoff
- Published: 01 Jan 2022, Last Modified: 26 Oct 2023
- ECCV Workshops (5) 2022
- Readers: Everyone
Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection
Fabian Küppers, Jonas Schneider, Anselm Haselhoff
- Published: 01 Jan 2022, Last Modified: 26 Oct 2023
- CoRR 2022
- Readers: Everyone
Confidence Calibration for Object Detection and Segmentation
Fabian Küppers, Anselm Haselhoff, Jan Kronenberger, Jonas Schneider
- Published: 01 Jan 2022, Last Modified: 26 Oct 2023
- CoRR 2022
- Readers: Everyone
Towards Black-Box Explainability With Gaussian Discriminant Knowledge Distillation
Anselm Haselhoff, Jan Kronenberger, Fabian Küppers, Jonas Schneider
- Published: 01 Jan 2021, Last Modified: 26 Oct 2023
- CVPR Workshops 2021
- Readers: Everyone
Bayesian Confidence Calibration for Epistemic Uncertainty Modelling
Fabian Küppers, Jan Kronenberger, Jonas Schneider, Anselm Haselhoff
- Published: 01 Jan 2021, Last Modified: 26 Oct 2023
- IV 2021
- Readers: Everyone
Bayesian Confidence Calibration for Epistemic Uncertainty Modelling
Fabian Küppers, Jan Kronenberger, Jonas Schneider, Anselm Haselhoff
- Published: 01 Jan 2021, Last Modified: 26 Oct 2023
- CoRR 2021
- Readers: Everyone
On Feature Relevance Uncertainty: A Monte Carlo Dropout Sampling Approach
Kai Fabi, Jonas Schneider
- Published: 01 Jan 2020, Last Modified: 15 Nov 2023
- CoRR 2020
- Readers: Everyone

Jonas Schneider

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection

Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection

Confidence Calibration for Object Detection and Segmentation

Towards Black-Box Explainability With Gaussian Discriminant Knowledge Distillation

Bayesian Confidence Calibration for Epistemic Uncertainty Modelling

Bayesian Confidence Calibration for Epistemic Uncertainty Modelling

On Feature Relevance Uncertainty: A Monte Carlo Dropout Sampling Approach

Co-Authors