Stefan Depeweg

444 total citations
7 papers, 84 citations indexed

About

Stefan Depeweg is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Stefan Depeweg has authored 7 papers receiving a total of 84 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 1 paper in Control and Systems Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Stefan Depeweg's work include Machine Learning and Algorithms (2 papers), Reinforcement Learning in Robotics (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Stefan Depeweg is often cited by papers focused on Machine Learning and Algorithms (2 papers), Reinforcement Learning in Robotics (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Stefan Depeweg collaborates with scholars based in Germany, United Kingdom and United States. Stefan Depeweg's co-authors include Steffen Udluft, Finale Doshi‐Velez, José Miguel Hernández-Lobato, Thomas A. Runkler, Alexander Hentschel, Michel Tokic, Eric Aislan Antonelo, Benjamin Schrauwen and Frank Jäkel and has published in prestigious journals such as Cognitive Science, arXiv (Cornell University) and Ghent University Academic Bibliography (Ghent University).

In The Last Decade

Stefan Depeweg

7 papers receiving 81 citations

Peers

Stefan Depeweg

AI

CSE

CVPR

EEE

CN

D. J. Cox United States

Yotam Doron United Kingdom

Zhaohan Daniel Guo United States

Ignasi Clavera United States

Léonard Hussenot United States

Jiri Hron United Kingdom

Ruikun Li Australia

Emilie Morvant France

Marc Pickett United States

Matheus R. F. Mendonça Brazil

D. J. Cox United States

Stefan Depeweg

31 ×0.5

AI

9 ×0.6

CSE

8 ×0.8

CVPR

15 ×2.1

EEE

5 ×0.8

CN

Citations per year, relative to Stefan Depeweg Stefan Depeweg (= 1×) peers D. J. Cox

Countries citing papers authored by Stefan Depeweg

Since Specialization

Citations

This map shows the geographic impact of Stefan Depeweg's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stefan Depeweg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Depeweg more than expected).

Fields of papers citing papers by Stefan Depeweg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan Depeweg. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stefan Depeweg. The network helps show where Stefan Depeweg may publish in the future.

Co-authorship network of co-authors of Stefan Depeweg

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Depeweg. A scholar is included among the top collaborators of Stefan Depeweg based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stefan Depeweg. Stefan Depeweg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Depeweg, Stefan, et al.. (2024). Solving Bongard Problems With a Visual Language and Pragmatic Constraints. Cognitive Science. 48(5). e13432–e13432. 1 indexed citations

2.

Depeweg, Stefan. (2019). Modeling Epistemic and Aleatoric Uncertainty with Bayesian Neural Networks and Latent Variables. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 11 indexed citations

3.

Depeweg, Stefan, José Miguel Hernández-Lobato, Steffen Udluft, & Thomas A. Runkler. (2018). Sensitivity analysis for predictive uncertainty.. The European Symposium on Artificial Neural Networks. 1 indexed citations

4.

Depeweg, Stefan, José Miguel Hernández-Lobato, Finale Doshi‐Velez, & Steffen Udluft. (2017). Decomposition of Uncertainty for Active Learning and Reliable Reinforcement Learning in Stochastic Systems.. arXiv (Cornell University). 10 indexed citations

5.

Depeweg, Stefan, José Miguel Hernández-Lobato, Finale Doshi‐Velez, & Steffen Udluft. (2017). Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning. arXiv (Cornell University). 1184–1193. 42 indexed citations

6.

Depeweg, Stefan, et al.. (2017). A benchmark environment motivated by industrial control problems. arXiv (Cornell University). 1–8. 17 indexed citations

7.

Antonelo, Eric Aislan, Stefan Depeweg, & Benjamin Schrauwen. (2011). Learning navigation attractors for mobile robots with reinforcement learning and reservoir computing. Ghent University Academic Bibliography (Ghent University). 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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