Matthew D. Hoffman
Matthew D. Hoffman publishes mostly in Artificial Intelligence, Statistics and Probability and Computational Theory and Mathematics, on topics such as Gaussian Processes and Bayesian Inference, Markov Chains and Monte Carlo Methods and Reinforcement Learning in Robotics.
- World rank
- #62,431 of 1,633,909 ranked researchers
- Rank in United States
- #28,347 of 358,040
- Works
- 26
- Citations
- 1k
- Citations per work
- 39.7
What does Matthew D. Hoffman research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence37% of their works
- 2Statistics and Probability11% of their works
- 3Computational Theory and Mathematics7% of their works
- 4Signal Processing7% of their works
- 5Computer Vision and Pattern Recognition7% of their works
- 6Control and Systems Engineering7% of their works
Research topics
- Gaussian Processes and Bayesian Inference
- Markov Chains and Monte Carlo Methods
- Reinforcement Learning in Robotics
- Generative Adversarial Networks and Image Synthesis
- Anomaly Detection Techniques and Applications
- Bayesian Methods and Mixture Models
- AI-based Problem Solving and Planning
- Machine Learning and Data Classification
Which keywords describe Matthew D. Hoffman's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Bayesian Inference, Variational Inference, Bayesian Monte Carlo, Gaussian Processes, Machine Learning and Markov Chain.
- Unsupervised
- Noisy Labels
- Hyperparameter Optimization
- Clustering
- Robotics
- Image Synthesis
- Markov Chain
- Gaussian Processes
- Variational Inference
- Neural Networks
- Deep Learning
- Bayesian Inference
- Bayesian Monte Carlo
- Machine Learning
- Generative Adversarial Networks
- Reinforcement Learning
- Anomaly Detection
- Heuristic Search
- Mixture Models
- Planning Systems
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 20 words, with their numbers
- Deep Learning84 topics
- Neural Networks53 topics
- Bayesian Inference42 topics
- Variational Inference42 topics
- Bayesian Monte Carlo31 topic
- Gaussian Processes31 topic
- Machine Learning31 topic
- Markov Chain31 topic
- Generative Adversarial Networks21 topic
- Image Synthesis21 topic
- Reinforcement Learning21 topic
- Robotics21 topic
- Anomaly Detection11 topic
- Clustering11 topic
- Heuristic Search11 topic
- Hyperparameter Optimization11 topic
- Mixture Models11 topic
- Noisy Labels11 topic
- Planning Systems11 topic
- Unsupervised11 topic
Where does Matthew D. Hoffman work?
Matthew D. Hoffman's main affiliation in the publication record is Google (United States), United States.
How many publications and citations does Matthew D. Hoffman have?
Science Explorer counts 26 works and 1,033 citations for Matthew D. Hoffman, ranking #62,431 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.