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Researcher · Technische Universität Berlin · Germany

Grégoire Montavon

Grégoire Montavon publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as Explainable Artificial Intelligence (XAI), Machine Learning and Data Classification and Adversarial Robustness in Machine Learning.

ORCID 0000-0001-7243-6186 OpenAlex
World rank
#94,022
of 7,710,434 ranked researchers
Rank in Germany
#5,076
of 364,343
Works
145
Citations
17k
Citations per work
120.2
h-index
34
i10-index 61Top 3.4% in Artificial Intelligence
Grégoire Montavon

What does Grégoire Montavon research?

Grégoire Montavon's work is mostly in Computer Science (66%), Biochemistry, Genetics and Molecular Biology (4%), Materials Science (3%).

Physical Sciences: 100 works · 69.3% of their workComputer Science: 96 works · 66.3% of their workArtificial Intelligence: 74 works · 51.0% of their workComputer Vision and Pattern Recognition: 18 works · 12.3% of their workComputational Theory and Mathematics: 4 works · 3.0% of their workMaterials Science: 4 works · 3.0% of their workMaterials Chemistry: 4 works · 3.0% of their workEverything else: 35 works · 24.0% of their workLife Sciences: 5 works · 3.7% of their workBiochemistry, Genetics and Molecular Biology: 5 works · 3.7% of their workMolecular Biology: 5 works · 3.7% of their workHealth Sciences: 4 works · 3.0% of their workMedicine: 4 works · 3.0% of their workRadiology, Nuclear Medicine and Imaging: 4 works · 3.0% of their workTHEIR WORKGrégoire Montavon145works
Life Sciences4%Physical Sciences69%Health Sciences3%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science9666.3%
    2. Materials Science43.0%
  2. Everything else3524.0%
    1. Biochemistry, Genetics and Molecular Biology53.7%
    1. Medicine43.0%
  1. 1Artificial Intelligence51% of their works
  2. 2Computer Vision and Pattern Recognition12% of their works
  3. 3Molecular Biology4% of their works
  4. 4Radiology, Nuclear Medicine and Imaging3% of their works
  5. 5Computational Theory and Mathematics3% of their works
  6. 6Materials Chemistry3% of their works

Research topics

Which keywords describe Grégoire Montavon's research?

The keywords of their largest research topics: Deep Neural Networks, Deep Learning, Interpretable Models, Machine Learning Interpretability, Neural Networks, Machine Learning, Hyperparameter Optimization and Noisy Labels.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 20 words, with their numbers
  1. Deep Neural Networks922 topics
  2. Deep Learning775 topics
  3. Interpretable Models661 topic
  4. Machine Learning Interpretability661 topic
  5. Neural Networks664 topics
  6. Machine Learning342 topics
  7. Hyperparameter Optimization261 topic
  8. Noisy Labels261 topic
  9. Adversarial Examples221 topic
  10. Robustness221 topic
  11. Anomaly Detection171 topic
  12. Generative Adversarial Networks171 topic
  13. Image Synthesis171 topic
  14. Unsupervised171 topic
  15. High-Throughput121 topic
  16. Materials Informatics121 topic
  17. Convolutional Neural Networks111 topic
  18. Image Recognition111 topic
  19. Backpropagation Learning101 topic
  20. Self-Organizing Maps101 topic

Where does Grégoire Montavon work?

Grégoire Montavon's main affiliation in the publication record is Technische Universität Berlin, Germany.

How many publications and citations does Grégoire Montavon have?

OpenAlex counts 145 works and 17,431 citations for Grégoire Montavon, an h-index of 34, ranking #94,022 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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