Aaron Klein
Impact in
- Artificial Intelligence top 2%
- Machine Learning and Data Classification
- Machine Learning and Algorithms
- Data Stream Mining Techniques
- Metaheuristic Optimization Algorithms Research
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
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- Advanced Neural Network Applications
Papers in ⓘ
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- Advanced Multi-Objective Optimization Algorithms 5
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- Machine Learning and Data Classification 10
- Machine Learning and Algorithms 6
- Neural Networks and Applications 3
- Co-authors
- Frank Hutter (11 shared papers)Jost Tobias Springenberg (4 shared papers)Matthias Feurer (2 shared papers)Katharina Eggensperger (1 shared paper)Manuel Blum (1 shared paper)Stefan Falkner (4 shared papers)Eric Christiansen (2 shared papers)Chris Ying (1 shared paper)
- Journals
- Kerntechnik (2 papers)Electronic Journal of Statistics (1 paper)Journal of Mathematical Sociology (1 paper)Computer Methods in Applied Mechanics and Engineering (1 paper)Proceedings of the American Mathematical Society (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Aaron Klein
22 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Artificial Intelligence 753
- Computer Vision and Pattern Recognition 236
- Software 31
- Computational Theory and Mathematics 129
- Management Science and Operations Research 76
Countries citing papers authored by Aaron Klein
This map shows the geographic impact of Aaron Klein'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 Aaron Klein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron Klein more than expected).
Fields of papers citing papers by Aaron Klein
This network shows the impact of papers produced by Aaron Klein. 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 Aaron Klein. The network helps show where Aaron Klein may publish in the future.
Co-authors
The 25 scholars most cited alongside Aaron Klein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Efficient and robust automated machine learning Hit paper breakdown → | 2015 | 704 |
| 2 | Bayesian optimization with robust Bayesian neural networks | 2016 | 119 |
| 3 | 2019 | 99 | |
| 4 | Learning Curve Prediction with Bayesian Neural Networks | 2017 | 67 |
| 5 | Towards Automatically-Tuned Neural Networks | 2016 | 60 |
| 6 | 2017 | 43 | |
| 7 | 2017 | 20 | |
| 8 | Practical Hyperparameter Optimization for Deep Learning | 2018 | 12 |
| 9 | Towards Reproducible Neural Architecture and Hyperparameter Search | 2018 | 7 |
| 10 | 2022 | 6 | |
| 11 | 2006 | 5 | |
| 12 | 2003 | 5 | |
| 13 | 2010 | 4 | |
| 14 | Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks | 2018 | 3 |
| 15 | 2019 | 3 | |
| 16 | 2001 | 2 | |
| 17 | Dynamic pruning of a neural network via gradient signal-to-noise ratio | 2021 | 2 |
| 18 | 2004 | 2 | |
| 19 | 2007 | 2 | |
| 20 | 1971 | 1 |
About Aaron Klein
Aaron Klein is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Signal Processing, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (10 papers), Machine Learning and Algorithms (6 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Digital Filter Design and Implementation (4 papers), Analog and Mixed-Signal Circuit Design (3 papers), Neural Networks and Applications (3 papers), Advancements in PLL and VCO Technologies (3 papers) and Topology Optimization in Engineering (2 papers). The work is most often cited by research in Artificial Intelligence (753 citations), Computer Vision and Pattern Recognition (236 citations), Software (31 citations), Computational Theory and Mathematics (129 citations) and Management Science and Operations Research (76 citations). Aaron Klein has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Frank Hutter, Jost Tobias Springenberg, Matthias Feurer, Katharina Eggensperger, Manuel Blum, Stefan Falkner, Eric Christiansen, Chris Ying, Kevin Murphy and Esteban Real. Their work appears in journals such as Kerntechnik, Electronic Journal of Statistics, Journal of Mathematical Sociology, Computer Methods in Applied Mechanics and Engineering and Proceedings of the American Mathematical Society.
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.