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Nando de Freitas

Active 2000–2024

Also published as
Nando De Freitas
174
Papers
47,864
Citations
72
h-index
146
i10-index

Citations

Citations per year for Nando de Freitas1886: 1 citations1977: 1 citations1989: 1 citations1997: 2 citations1998: 1 citations2000: 17 citations2001: 55 citations2002: 100 citations2003: 234 citations2004: 263 citations2005: 350 citations2006: 457 citations2007: 574 citations2008: 549 citations2009: 574 citations2010: 578 citations2011: 563 citations2012: 510 citations2013: 583 citations2014: 697 citations2015: 662 citations2016: 798 citations2017: 1,041 citations2018: 1,542 citations2019: 2,053 citations2020: 2,401 citations2021: 2,526 citations2022: 1,665 citations2023: 1,690 citations2024: 1,735 citations2025: 1,491 citations2026: 588 citations1887–1976: no citations, so these years are not shown1978–1988: no citations, so these years are not shown1990–1996: no citations, so these years are not shown1999: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 5,895 citing papers, 24.4% of this breakdownChina: 3,749 citing papers, 15.5% of this breakdownUnited Kingdom: 2,154 citing papers, 8.9% of this breakdownGermany: 1,262 citing papers, 5.2% of this breakdownCanada: 1,064 citing papers, 4.4% of this breakdownFrance: 962 citing papers, 4% of this breakdownAustralia: 815 citing papers, 3.4% of this breakdownJapan: 753 citing papers, 3.1% of this breakdownSouth Korea: 569 citing papers, 2.4% of this breakdownItaly: 529 citing papers, 2.2% of this breakdownSpain: 516 citing papers, 2.1% of this breakdownSwitzerland: 461 citing papers, 1.9% of this breakdown
0%24.4%Other 22.5%

Institutions

Fields

  • Computer Science66.8%
  • Engineering15.6%
  • Decision Sciences3.4%
  • Mathematics1.8%
  • Medicine1.7%
  • Biochemistry, Genetics and Molecular Biology1.6%
  • Other9.1%

Topics

  • Reinforcement Learning in Robotics4.2%
  • Target Tracking and Data Fusion in Sensor Networks4.1%
  • Gaussian Processes and Bayesian Inference2.5%
  • Advanced Multi-Objective Optimization Algorithms2.3%
  • Video Surveillance and Tracking Methods2.3%
  • Machine Learning and Data Classification2%
  • Other82.6%

Coauthors

All papers

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  1. Taking the Human Out of the Loop: A Review of Bayesian Optimization

    Authors: Bobak Shahriari, Kevin Swersky, Ziyu Wang, Ryan P. Adams, Nando de Freitas - IEEE, Proc. IEEE 2015 cited by 5,868

  2. A Generalist Agent

    Authors: Scott E. Reed, Konrad Zolna, Emilio Parisotto, Sergio Gómez Colmenarejo, Alexander Novikov, Gabriel Barth-Maron, Mai Gimenez, Yury Sulsky, Jackie Kay, Jost Tobias Springenberg, Tom Eccles, Jake Bruce, Ali Razavi, Ashley Edwards, Nicolas Heess, Yutian Chen, Raia Hadsell, Oriol Vinyals, Mahyar Bordbar, Nando de Freitas - Trans. Mach. Learn. Res. 2022 cited by 613

  3. Reinforced Self-Training (ReST) for Language Modeling

    Authors: Çaglar Gülçehre, Tom Le Paine, Srivatsan Srinivasan, Ksenia Konyushkova, Lotte Weerts, Abhishek Sharma, Aditya Siddhant, Alex Ahern, Miaosen Wang, Chenjie Gu, Wolfgang Macherey, Arnaud Doucet, Orhan Firat, Nando de Freitas - arXiv (Cornell University), CoRR 2023 cited by 384

  4. A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

    Authors: Eric Brochu, Vlad M. Cora, Nando de Freitas - arXiv (Cornell University), CoRR 2009 cited by 2,155

  5. Competition-Level Code Generation with AlphaCode

    Authors: Yujia Li, David H. Choi, Junyoung Chung, Nate Kushman, Julian Schrittwieser, Rémi Leblond, Tom Eccles, James Keeling, Felix Gimeno, Agustin Dal Lago, Thomas Hubert, Peter Choy, Cyprien de Masson d'Autume, Igor Babuschkin, Xinyun Chen, Po-Sen Huang, Johannes Welbl, Sven Gowal, Alexey Cherepanov, James Molloy, Daniel J. Mankowitz, Esme Sutherland Robson, Pushmeet Kohli, Nando de Freitas, Koray Kavukcuoglu, Oriol Vinyals - Science 2022 cited by 290

  6. Imagen 3

    Authors: Imagen-Team-Google, :, Jason Baldridge, Jakob Bauer, Mukul Bhutani, Nicole Brichtova, Andrew Bunner, Castrejon, Lluis, Kelvin Chan, Yichang Chen, Sander Dieleman, Yuqing Du, Zach Eaton-Rosen, Hongliang Fei, Nando de Freitas, Yilin Gao, Evgeny Gladchenko, Sergio Gómez Colmenarejo, Mandy Guo, Alex Haig, Will Hawkins, Hexiang Hu, Huilian Huang, Tobenna Peter Igwe, Kaplanis, Christos, Siavash Khodadadeh, Yelin Kim, Ksenia Konyushkova, Karol Langner, Eric H. Y. Lau, Lawton, Rory, Shixin Luo, Soňa Mokrá, Henna Nandwani, Yasumasa Onoe, Aäron van den Oord, Zarana Parekh, Jordi Pont-Tuset, Hang Qi, Qian, Rui, Deepak Ramachandran, Poorva Rane, Abdullah Rashwan, Ali Razavi, Robert Riachi, Hansa Srinivasan, Srivatsan Srinivasan, Robin Strudel, Benigno Uría, Oliver Wang, Su Wang, Austin R. Waters, Chris Wolff, Auriel Wright, Zhisheng Xiao, Hao Xiong, Keyang Xu, Marc van Zee, Jun-Lin Zhang, K. Zhang, Wenlei Zhou, Konrad Żołna, Ola Aboubakar, Canfer Akbulut, Oscar Akerlund, Isabela Albuquerque, Nina Anderson, Marco Andreetto, Lora Aroyo, Ben Bariach, David C. Barker, Sherry Ben, Dana Berman, Courtney Biles, Irina Blok, Pankil Botadra, J. William Brennan, Karla Brown, J. Buckley, Rudy Bunel, Elie Bursztein, Christina Butterfield, Ben Caine, Viral Carpenter, Norman Casagrande, Ming‐Wei Chang, Solomon Chang, Shamik Chaudhuri, Tony Chen, John M. Choi, Dmitry Churbanau, Nathan Clement, Matan Cohen, Forrester Cole, Mikhail Dektiarev, Vincent Du, Praneet Dutta, Tom Eccles, Ndidi Elue, Ashley Feden and 162 more - arXiv (Cornell University), CoRR 2024 cited by 143

  7. Sequential Monte Carlo Methods in Practice

    Authors: Arnaud Doucet, Nando de Freitas, Neil J. Gordon - IEEE Symposium on Security and Privacy, SP 2001 cited by 7,410

  8. Dueling Network Architectures for Deep Reinforcement Learning

    Authors: Ziyu Wang, Tom Schaul, Matteo Hessel, Hado van Hasselt, Marc Lanctot, Nando de Freitas - ICML 2016 cited by 4,476

  9. Genie: Generative Interactive Environments

    Authors: Jake Bruce, Michael D. Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Bechtle, Feryal M. P. Behbahani, Stephanie C. Y. Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott E. Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktäschel - ICML 2024 cited by 709

  10. An Introduction to MCMC for Machine Learning

    Authors: Christophe Andrieu, Nando de Freitas, Arnaud Doucet, Michael I. Jordan - Machine Learning, Mach. Learn. 2003 cited by 2,418

  11. Learning to Communicate with Deep Multi-Agent Reinforcement Learning

    Authors: Jakob N. Foerster, Yannis M. Assael, Nando de Freitas, Shimon Whiteson - NIPS 2016 cited by 1,926

  12. Vision-Language Models as Success Detectors

    Authors: Yuqing Du, Ksenia Konyushkova, Misha Denil, Akhil Raju, Jessica Landon, Felix Hill, Nando de Freitas, Serkan Cabi - CoLLAs 2023 cited by 86

  13. Bayesian Optimization in a Billion Dimensions via Random Embeddings

    Authors: Ziyu Wang, Frank Hutter, Masrour Zoghi, David Matheson, Nando de Freitas - Journal of Artificial Intelligence Research, J. Artif. Intell. Res. 2016 cited by 374

  14. Restoring and attributing ancient texts using deep neural networks

    Authors: Yannis M. Assael, Thea Sommerschield, Brendan Shillingford, Mahyar Bordbar, John Pavlopoulos, Marita Chatzipanagiotou, Ion Androutsopoulos, Jonathan Prag, Nando de Freitas - Nature, Nat. 2022 cited by 188

  15. Learning to learn by gradient descent by gradient descent

    Authors: Marcin Andrychowicz, Misha Denil, Sergio Luis Suárez Gómez, Matthew W. Hoffman, David Pfau, Tom Schaul, Brendan Shillingford, Nando de Freitas - NIPS 2016 cited by 2,221

  16. Sample Efficient Actor-Critic with Experience Replay

    Authors: Ziyu Wang, Victor Bapst, Nicolas Heess, Volodymyr Mnih, Rémi Munos, Koray Kavukcuoglu, Nando de Freitas - ICLR (Poster) 2017 cited by 821

  17. Reinforcement and Imitation Learning for Diverse Visuomotor Skills

    Authors: Yuke Zhu, Ziyu Wang, Josh Merel, Andrei A. Rusu, Tom Erez, Serkan Cabi, Saran Tunyasuvunakool, János Kramár, Raia Hadsell, Nando de Freitas, Nicolas Heess - Robotics: Science and Systems XIV 2018 cited by 217

  18. An Introduction to Sequential Monte Carlo Methods

    Authors: Arnaud Doucet, Nando de Freitas, Neil J. Gordon - Sequential Monte Carlo Methods in Practice 2001 cited by 1,141

  19. LipNet: Sentence-level Lipreading

    Authors: Yannis Assael, Brendan Shillingford, Shimon Whiteson, Nando de Freitas - arXiv (Cornell University), CoRR 2016 cited by 210

  20. Hyperparameter Selection for Offline Reinforcement Learning

    Authors: Tom Le Paine, Cosmin Paduraru, Andrea Michi, Çaglar Gülçehre, Konrad Zolna, Alexander Novikov, Ziyu Wang, Nando de Freitas - arXiv (Cornell University), CoRR 2020 cited by 113

  21. Machine Learning for Ancient Languages: A Survey

    Authors: Thea Sommerschield, Yannis M. Assael, John Pavlopoulos, Vanessa Stefanak, Andrew W. Senior, Chris Dyer, John Bodel, Jonathan Prag, Ion Androutsopoulos, Nando de Freitas - Computational Linguistics, Comput. Linguistics 2023 cited by 64

  22. Meta-learning of Sequential Strategies

    Authors: Pedro A. Ortega, Jane X. Wang, Mark Rowland, Tim Genewein, Zeb Kurth-Nelson, Razvan Pascanu, Nicolas Heess, Joel Veness, Alexander Pritzel, Pablo Sprechmann, Siddhant M. Jayakumar, Tom McGrath, Kevin J. Miller, Mohammad Gheshlaghi Azar, Ian Osband, Neil C. Rabinowitz, András György, Silvia Chiappa, Simon Osindero, Yee Whye Teh, Hado van Hasselt, Nando de Freitas, Matthew M. Botvinick, Shane Legg - arXiv (Cornell University), CoRR 2019 cited by 78

  23. Offline Learning from Demonstrations and Unlabeled Experience

    Authors: Konrad Zolna, Alexander Novikov, Ksenia Konyushkova, Çaglar Gülçehre, Ziyu Wang, Yusuf Aytar, Misha Denil, Nando de Freitas, Scott E. Reed - arXiv (Cornell University), CoRR 2020 cited by 55

  24. Hyperbolic Attention Networks

    Authors: Çaglar Gülçehre, Misha Denil, Mateusz Malinowski, Ali Razavi, Razvan Pascanu, Karl Moritz Hermann, Peter W. Battaglia, Victor Bapst, David Raposo, Adam Santoro, Nando de Freitas - ICLR (Poster) 2019 cited by 276