Nando de Freitas
Impact in
- Artificial Intelligence top 0.05%
- Target Tracking and Data Fusion in Sensor Networks
- Gaussian Processes and Bayesian Inference
- Reinforcement Learning in Robotics
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- Video Surveillance and Tracking Methods
Papers in
-
- Machine Learning and Algorithms 18
- Gaussian Processes and Bayesian Inference 17
- Reinforcement Learning in Robotics 13
- Bayesian Methods and Mixture Models 13
- Neural Networks and Applications 8
- Co-authors
- Randal Douc (14 shared papers)Neil Gordon (1 shared paper)Kevin Swersky (6 shared papers)Bobak Shahriari (3 shared papers)Ziyu Wang (1 shared paper)Ryan P. Adams (1 shared paper)Christophe Andrieu (4 shared papers)Michael I. Jordan (2 shared papers)
- Journals
- Neural Computation (2 papers)Computational Linguistics (1 paper)Nature (1 paper)Machine Learning (1 paper)International Journal of Computer Vision (1 paper)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Nando de Freitas
100 papers receiving 14.3k citations
Nando de Freitas's Hit Papers
Peers
Comparison fields: 5 of 210
- Artificial Intelligence 7.5k
- Computer Vision and Pattern Recognition 2.7k
- Signal Processing 1.0k
- Control and Systems Engineering 2.1k
- Statistics and Probability 700
Countries citing papers authored by Nando de Freitas
This map shows the geographic impact of Nando de Freitas'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 Nando de Freitas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nando de Freitas more than expected).
Fields of papers citing papers by Nando de Freitas
This network shows the impact of papers produced by Nando de Freitas. 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 Nando de Freitas. The network helps show where Nando de Freitas may publish in the future.
Co-authors
The 25 scholars most cited alongside Nando de Freitas, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Sequential Monte Carlo Methods in Practice Hit paper breakdown → | 2001 | 5165 |
| 2 | Taking the Human Out of the Loop: A Review of Bayesian Optimization Hit paper breakdown → | 2015 | 3359 |
| 3 | An Introduction to MCMC for Machine Learning Hit paper breakdown → | 2003 | 1483 |
| 4 | The Unscented Particle Filter Hit paper breakdown → | 2000 | 1058 |
| 5 | Dueling Network Architectures for Deep Reinforcement Learning Hit paper breakdown → | 2015 | 1034 |
| 6 | Learning to Communicate with Deep Multi−Agent Reinforcement Learning | 2016 | 183 |
| 7 | 2015 | 182 | |
| 8 | 2009 | 142 | |
| 9 | 2003 | 136 | |
| 10 | Bayesian optimization in high dimensions via random embeddings | 2013 | 128 |
| 11 | 2018 | 126 | |
| 12 | 2006 | 108 | |
| 13 | 2012 | 104 | |
| 14 | 2015 | 104 | |
| 15 | Neural Programmer-Interpreters | 2016 | 89 |
| 16 | 2007 | 87 | |
| 17 | 2013 | 84 | |
| 18 | Inductive Principles for Restricted Boltzmann Machine Learning | 2010 | 80 |
| 19 | 2022 | 80 | |
| 20 | 2010 | 77 |
About Nando de Freitas
Nando de Freitas is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistics and Probability, Signal Processing and Control and Systems Engineering, having authored 102 papers that have together received 15.2k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (18 papers), Gaussian Processes and Bayesian Inference (17 papers), Markov Chains and Monte Carlo Methods (14 papers), Reinforcement Learning in Robotics (13 papers), Bayesian Methods and Mixture Models (13 papers), Music and Audio Processing (10 papers), Advanced Bandit Algorithms Research (9 papers) and Neural Networks and Applications (8 papers). The work is most often cited by research in Artificial Intelligence (7.5k citations), Computer Vision and Pattern Recognition (2.7k citations), Signal Processing (1.0k citations), Control and Systems Engineering (2.1k citations) and Statistics and Probability (700 citations). Nando de Freitas has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Randal Douc, Neil Gordon, Kevin Swersky, Bobak Shahriari, Ziyu Wang, Ryan P. Adams, Christophe Andrieu, Michael I. Jordan, Rudolph van der Merwe and Eric A. Wan. Their work appears in journals such as Neural Computation, Computational Linguistics, Nature, Machine Learning and International Journal of Computer Vision.
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.