Klaus Greff
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Anomaly Detection Techniques and Applications
- Neural Networks and Applications
- Natural Language Processing Techniques
- Signal Processing top 1%
- Time Series Analysis and Forecasting
Papers in
-
- Neural Networks and Applications 3
- Speech Recognition and Synthesis 3
- Machine Learning and Data Classification 2
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- Advanced Image and Video Retrieval Techniques 3
- Advanced Vision and Imaging 3
- Co-authors
- Jan Koutník (4 shared papers)Jürgen Schmidhuber (5 shared papers)Bas R. Steunebrink (1 shared paper)Rupesh K. Srivastava (1 shared paper)Mathias Berglund (2 shared papers)Tapani Raiko (2 shared papers)Jelena Luketina (2 shared papers)Juergen Schmidhuber (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (1 paper)Nature (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Klaus Greff
14 papers receiving 4.6k citations
Klaus Greff's Hit Papers
Peers
Comparison fields: 5 of 187
- Artificial Intelligence 1.8k
- Signal Processing 555
- Computer Vision and Pattern Recognition 893
- Management Science and Operations Research 361
- Environmental Engineering 341
Countries citing papers authored by Klaus Greff
This map shows the geographic impact of Klaus Greff'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 Klaus Greff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaus Greff more than expected).
Fields of papers citing papers by Klaus Greff
This network shows the impact of papers produced by Klaus Greff. 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 Klaus Greff. The network helps show where Klaus Greff may publish in the future.
Co-authors
The 25 scholars most cited alongside Klaus Greff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | LSTM: A Search Space Odyssey Hit paper breakdown → | 2016 | 4435 |
| 2 | 33rd International Conference on Machine Learning, ICML 2016 | 2016 | 113 |
| 3 | 2022 | 66 | |
| 4 | A Clockwork RNN | 2014 | 56 |
| 5 | 2018 | 27 | |
| 6 | Scalable gradient-based tuning of continuous regularization hyperparameters | 2016 | 22 |
| 7 | 2017 | 20 | |
| 8 | 2012 | 19 | |
| 9 | Multi-Object Representation Learning with Iterative Variational Inference | 2019 | 13 |
| 10 | 2012 | 9 | |
| 11 | 2023 | 6 | |
| 12 | Unconventional computing using evolution-in-nanomaterio: neural networks meet nanoparticle networks | 2016 | 2 |
| 13 | Using neural networks to predict the functionality of reconfigurable nano-material networks | 2017 | 1 |
| 14 | 2023 | 1 | |
| 15 | 2025 | 0 |
About Klaus Greff
Klaus Greff is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering and Materials Chemistry, having authored 15 papers that have together received 4.8k indexed citations. Recurring topics across this work include Neural Networks and Applications (3 papers), Speech Recognition and Synthesis (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Advanced Vision and Imaging (3 papers), Music and Audio Processing (3 papers), Machine Learning in Materials Science (2 papers), Machine Learning and Data Classification (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Artificial Intelligence (1.8k citations), Signal Processing (555 citations), Computer Vision and Pattern Recognition (893 citations), Management Science and Operations Research (361 citations) and Environmental Engineering (341 citations). Klaus Greff has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Jan Koutník, Jürgen Schmidhuber, Bas R. Steunebrink, Rupesh K. Srivastava, Mathias Berglund, Tapani Raiko, Jelena Luketina, Juergen Schmidhuber, Faustino Gomez and Sjoerd van Steenkiste. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Nature, IEEE Transactions on Neural Networks and Learning Systems, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).
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.