Marius Kloft
Impact in
- Computational Mathematics top 2%
- Artificial Intelligence top 0.5%
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
- Machine Learning and ELM
- Advanced Clustering Algorithms Research
Papers in
-
- Anomaly Detection Techniques and Applications 17
- Machine Learning and Algorithms 11
- Domain Adaptation and Few-Shot Learning 9
- Machine Learning and ELM 6
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- Face and Expression Recognition 18
- Co-authors
- Pavel LaskovXinwang LiuRobert A. VandermeulenAlexander BinderLukas RuffLucas DeeckeShoaib Ahmed SiddiquiEmmanuel Müller
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (5 papers)PLoS ONE (5 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (4 papers)Industrial & Engineering Chemistry Research (2 papers)Machine Learning (2 papers)
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Marius Kloft
81 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Computational Mathematics 55
- Artificial Intelligence 1.7k
- Computer Vision and Pattern Recognition 998
- Computer Science Applications 203
- Signal Processing 325
Countries citing papers authored by Marius Kloft
This map shows the geographic impact of Marius Kloft'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 Marius Kloft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marius Kloft more than expected).
Fields of papers citing papers by Marius Kloft
This network shows the impact of papers produced by Marius Kloft. 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 Marius Kloft. The network helps show where Marius Kloft may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marius Kloft, 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 | 2025 | 3 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 16 | |
| 7 | Explainable Deep One-Class Classification | 2021 | 9 |
| 8 | Fine-grained Generalization Analysis of Inductive Matrix Completion | 2021 | 4 |
| 9 | Sharper Generalization Bounds for Pairwise Learning. | 2020 | 9 |
| 10 | Two-sample Testing Using Deep Learning | 2020 | 1 |
| 11 | 2019 | 27 | |
| 12 | Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network | 2019 | 39 |
| 13 | Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning | 2018 | 10 |
| 14 | Deep One-Class Classification Hit paper breakdown → | 2018 | 484 |
| 15 | Generalization Error Bounds for Extreme Multi-class Classification. | 2017 | 1 |
| 16 | Theory and Algorithms for the Localized Setting of Learning Kernels | 2015 | 8 |
| 17 | Learning and Evaluation in Presence of Non-i.i.d. Label Noise | 2014 | 1 |
| 18 | 2014 | 213 | |
| 19 | Learning Kernels Using Local Rademacher Complexity | 2013 | 53 |
| 20 | Online Anomaly Detection under Adversarial Impact | 2010 | 64 |
About Marius Kloft
Marius Kloft is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Health Informatics, Signal Processing and Computer Networks and Communications, having authored 86 papers that have together received 3.0k indexed citations. Recurring topics across this work include Face and Expression Recognition (18 papers), Anomaly Detection Techniques and Applications (17 papers), Machine Learning and Algorithms (11 papers), Network Security and Intrusion Detection (11 papers), Domain Adaptation and Few-Shot Learning (9 papers), Sparse and Compressive Sensing Techniques (7 papers), Machine Learning and ELM (6 papers) and Gene expression and cancer classification (6 papers). The work is most often cited by research in Computational Mathematics (55 citations), Artificial Intelligence (1.7k citations), Computer Vision and Pattern Recognition (998 citations), Computer Science Applications (203 citations) and Signal Processing (325 citations). Marius Kloft has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Pavel Laskov, Xinwang Liu, Robert A. Vandermeulen, Alexander Binder, Lukas Ruff, Lucas Deecke, Shoaib Ahmed Siddiqui, Emmanuel Müller, En Zhu and Niels Pinkwart. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence, Industrial & Engineering Chemistry Research and 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.