Felix Draxler
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Statistical and Nonlinear Physics
- Computational Mechanics
- Computer Graphics and Computer-Aided Design
- Co-authors
- Fred A. HamprechtAaron CourvilleDevansh ArpitAristide BaratinNasim RahamanYoshua BengioMin LinManfred Salmhofer
- Topics
- Model Reduction and Neural Networks (3 papers)Stochastic Gradient Optimization Techniques (2 papers)Neural Networks and Applications (2 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Graphics and Computer-Aided DesignComputer Vision and Pattern Recognition
- Journals
- arXiv (Cornell University)International Conference on Machine Learning
- Partner nations
- Germany
In The Last Decade
Felix Draxler
3 papers receiving 78 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 40
- Artificial Intelligence 34
- Statistical and Nonlinear Physics 25
- Computational Mechanics 19
- Computer Graphics and Computer-Aided Design 7
Countries citing papers authored by Felix Draxler
This map shows the geographic impact of Felix Draxler'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 Felix Draxler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felix Draxler more than expected).
Fields of papers citing papers by Felix Draxler
This network shows the impact of papers produced by Felix Draxler. 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 Felix Draxler. The network helps show where Felix Draxler may publish in the future.
Co-authorship network of co-authors of Felix Draxler
This figure shows the co-authorship network connecting the top 25 collaborators of Felix Draxler. A scholar is included among the top collaborators of Felix Draxler 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 Felix Draxler. Felix Draxler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | On the Spectral Bias of Deep Neural Networks | 18 |
| 2 | Essentially No Barriers in Neural Network Energy Landscape | 13 |
| 3 | 50 |
About Felix Draxler
Felix Draxler is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Infectious Diseases, having authored 3 papers that have together received 81 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (3 papers), Stochastic Gradient Optimization Techniques (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (25 citations), Computer Graphics and Computer-Aided Design (7 citations) and Computer Vision and Pattern Recognition (40 citations). Felix Draxler has collaborated with scholars based in Germany. Frequent co-authors include Fred A. Hamprecht, Aaron Courville, Devansh Arpit, Aristide Baratin, Nasim Rahaman, Yoshua Bengio, Min Lin and Manfred Salmhofer. Their work appears in journals such as arXiv (Cornell University) and International Conference on Machine Learning.
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.