Josh Merel
Josh Merel publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, on topics such as Reinforcement Learning in Robotics, Anomaly Detection Techniques and Applications and Adversarial Robustness in Machine Learning.
- World rank
- #126,451 of 1,633,909 ranked researchers
- Rank in United Kingdom
- #11,914 of 90,785
- Works
- 21
- Citations
- 321
- Citations per work
- 15.3
What does Josh Merel research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence53% of their works
- 2Computer Vision and Pattern Recognition13% of their works
- 3Computational Theory and Mathematics7% of their works
- 4Human-Computer Interaction7% of their works
- 5Biomedical Engineering7% of their works
- 6Control and Systems Engineering7% of their works
Research topics
- Reinforcement Learning in Robotics
- Anomaly Detection Techniques and Applications
- Adversarial Robustness in Machine Learning
- Explainable Artificial Intelligence (XAI)
- Machine Learning and Data Classification
- Machine Learning and Algorithms
- Adaptive Dynamic Programming Control
- Data Visualization and Analytics
Which keywords describe Josh Merel's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Reinforcement Learning, Autonomous Control, Robotics, Deep Neural Networks, Machine Learning and Active Learning.
- Unsupervised
- Robustness
- Noisy Labels
- Interpretable Models
- Hyperparameter Optimization
- Adversarial Examples
- Active Learning
- Deep Neural Networks
- Autonomous Control
- Neural Networks
- Deep Learning
- Reinforcement Learning
- Robotics
- Machine Learning
- Adaptive Dynamic Programming
- Anomaly Detection
- Information Visualization
- Machine Learning Interpretability
- Optimal Control
- Semi-Supervised Learning
- Visual Analytics
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.
All 21 words, with their numbers
- Deep Learning64 topics
- Neural Networks64 topics
- Reinforcement Learning42 topics
- Autonomous Control31 topic
- Robotics31 topic
- Deep Neural Networks22 topics
- Machine Learning22 topics
- Active Learning11 topic
- Adaptive Dynamic Programming11 topic
- Adversarial Examples11 topic
- Anomaly Detection11 topic
- Hyperparameter Optimization11 topic
- Information Visualization11 topic
- Interpretable Models11 topic
- Machine Learning Interpretability11 topic
- Noisy Labels11 topic
- Optimal Control11 topic
- Robustness11 topic
- Semi-Supervised Learning11 topic
- Unsupervised11 topic
- Visual Analytics11 topic
Where does Josh Merel work?
Josh Merel's main affiliation in the publication record is Google DeepMind (United Kingdom), United Kingdom.
How many publications and citations does Josh Merel have?
Science Explorer counts 21 works and 321 citations for Josh Merel, ranking #126,451 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised 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 are in the interactive view on the map. Is this your page? Request a correction or removal.