Simon Witzke

PhD student, Hasso Plattner Institute

PhD student, Universität Potsdam

Joined

May 2023

Names

Simon Witzke (Preferred)

Emails

****@hpi.de (Confirmed)

****@uni-potsdam.de (Confirmed)

****@kern.ai

Personal Links

Career & Education History

PhD student

Hasso Plattner Institute (hpi.de)

2022 – Present

PhD student

Universität Potsdam (uni-potsdam.de)

2022 – Present

Advisors, Relations & Conflicts

PhD Advisor

Bernhard Y Renard

Present

Coauthor

Katharina Baum

Present

Coauthor

Pascal Iversen

Present

Expertise

No areas of expertise listed

Publications

Identifying Drivers of Predictive Aleatoric Uncertainty
Pascal Iversen, Simon Witzke, Katharina Baum, Bernhard Y Renard
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Identifying Drivers of Predictive Uncertainty using Variance Feature Attribution
Pascal Iversen, Simon Witzke, Katharina Baum, Bernhard Y Renard
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Mobility data improve forecasting of COVID-19 incidence trends using Graph Neural Networks (Extended Abstract)
Simon Witzke, Noel Danz, Katharina Baum, Bernhard Y Renard
- Published: 03 Jul 2023, Last Modified: 28 Jul 2023
- KDD 2023 Workshop epiDAMIK
- Readers: Everyone
SimbaML: Connecting Mechanistic Models and Machine Learning with Augmented Data
Maximilian Kleissl, Lukas Drews, Benedict B. Heyder, Julian Zabbarov, Pascal Iversen, Simon Witzke, Bernhard Y Renard, Katharina Baum
- 01 Mar 2023 (modified: 15 Jan 2026)
- Submitted to Tiny Papers @ ICLR 2023
- Readers: Everyone
SimbaML: Connecting Mechanistic Models and Machine Learning with Augmented Data
Maximilian Kleissl, Lukas Drews, Benedict B. Heyder, Julian Zabbarov, Pascal Iversen, Simon Witzke, Bernhard Y. Renard, Katharina Baum
- Tiny Papers @ ICLR 2023
- Readers: Everyone
Kern: A Labeling Environment for Large-Scale, High-Quality Training Data
Johannes Hötter, Henrik Wenck, Moritz Feuerpfeil, Simon Witzke
- NLDB 2022
- Readers: Everyone

Simon Witzke

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Identifying Drivers of Predictive Aleatoric Uncertainty

Identifying Drivers of Predictive Uncertainty using Variance Feature Attribution

Mobility data improve forecasting of COVID-19 incidence trends using Graph Neural Networks (Extended Abstract)

SimbaML: Connecting Mechanistic Models and Machine Learning with Augmented Data

SimbaML: Connecting Mechanistic Models and Machine Learning with Augmented Data

Kern: A Labeling Environment for Large-Scale, High-Quality Training Data

Co-Authors