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Nando de Freitas

2000–2024 年に発表

別表記
Nando De Freitas
174
論文数
47,864
被引用数
72
h 指数
146
i10 指数

被引用数

Nando de Freitas の年別被引用数1886 年: 被引用 1 件1977 年: 被引用 1 件1989 年: 被引用 1 件1997 年: 被引用 2 件1998 年: 被引用 1 件2000 年: 被引用 17 件2001 年: 被引用 55 件2002 年: 被引用 100 件2003 年: 被引用 234 件2004 年: 被引用 263 件2005 年: 被引用 350 件2006 年: 被引用 457 件2007 年: 被引用 574 件2008 年: 被引用 549 件2009 年: 被引用 574 件2010 年: 被引用 578 件2011 年: 被引用 563 件2012 年: 被引用 510 件2013 年: 被引用 583 件2014 年: 被引用 697 件2015 年: 被引用 662 件2016 年: 被引用 798 件2017 年: 被引用 1,041 件2018 年: 被引用 1,542 件2019 年: 被引用 2,053 件2020 年: 被引用 2,401 件2021 年: 被引用 2,526 件2022 年: 被引用 1,665 件2023 年: 被引用 1,690 件2024 年: 被引用 1,735 件2025 年: 被引用 1,491 件2026 年: 被引用 588 件1887〜1976 年は被引用が無いため表示していません1978〜1988 年は被引用が無いため表示していません1990〜1996 年は被引用が無いため表示していません1999 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 5,895 件、この内訳の 24.4%中国: 引用元論文 3,749 件、この内訳の 15.5%イギリス: 引用元論文 2,154 件、この内訳の 8.9%ドイツ: 引用元論文 1,262 件、この内訳の 5.2%カナダ: 引用元論文 1,064 件、この内訳の 4.4%フランス: 引用元論文 962 件、この内訳の 4%オーストラリア: 引用元論文 815 件、この内訳の 3.4%日本: 引用元論文 753 件、この内訳の 3.1%韓国: 引用元論文 569 件、この内訳の 2.4%イタリア: 引用元論文 529 件、この内訳の 2.2%スペイン: 引用元論文 516 件、この内訳の 2.1%スイス: 引用元論文 461 件、この内訳の 1.9%
0%24.4%その他 22.5%

機関

分野

  • Computer Science66.8%
  • Engineering15.6%
  • Decision Sciences3.4%
  • Mathematics1.8%
  • Medicine1.7%
  • Biochemistry, Genetics and Molecular Biology1.6%
  • その他9.1%

トピック

  • 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%
  • その他82.6%

共著者

全論文

検索で開く
  1. Taking the Human Out of the Loop: A Review of Bayesian Optimization

    著者: Bobak Shahriari, Kevin Swersky, Ziyu Wang, Ryan P. Adams, Nando de Freitas - IEEE, Proc. IEEE 2015 被引用: 5,868

  2. A Generalist Agent

    著者: 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 被引用: 613

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

    著者: 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 被引用: 384

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

    著者: Eric Brochu, Vlad M. Cora, Nando de Freitas - arXiv (Cornell University), CoRR 2009 被引用: 2,155

  5. Competition-Level Code Generation with AlphaCode

    著者: 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 被引用: 290

  6. Imagen 3

    著者: 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 ほか 162 名 - arXiv (Cornell University), CoRR 2024 被引用: 143

  7. Sequential Monte Carlo Methods in Practice

    著者: Arnaud Doucet, Nando de Freitas, Neil J. Gordon - IEEE Symposium on Security and Privacy, SP 2001 被引用: 7,410

  8. Dueling Network Architectures for Deep Reinforcement Learning

    著者: Ziyu Wang, Tom Schaul, Matteo Hessel, Hado van Hasselt, Marc Lanctot, Nando de Freitas - ICML 2016 被引用: 4,476

  9. Genie: Generative Interactive Environments

    著者: 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 被引用: 709

  10. An Introduction to MCMC for Machine Learning

    著者: Christophe Andrieu, Nando de Freitas, Arnaud Doucet, Michael I. Jordan - Machine Learning, Mach. Learn. 2003 被引用: 2,418

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

    著者: Jakob N. Foerster, Yannis M. Assael, Nando de Freitas, Shimon Whiteson - NIPS 2016 被引用: 1,926

  12. Vision-Language Models as Success Detectors

    著者: Yuqing Du, Ksenia Konyushkova, Misha Denil, Akhil Raju, Jessica Landon, Felix Hill, Nando de Freitas, Serkan Cabi - CoLLAs 2023 被引用: 86

  13. Bayesian Optimization in a Billion Dimensions via Random Embeddings

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

  14. Restoring and attributing ancient texts using deep neural networks

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

  15. Learning to learn by gradient descent by gradient descent

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

  16. Sample Efficient Actor-Critic with Experience Replay

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

  17. Reinforcement and Imitation Learning for Diverse Visuomotor Skills

    著者: 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 被引用: 217

  18. An Introduction to Sequential Monte Carlo Methods

    著者: Arnaud Doucet, Nando de Freitas, Neil J. Gordon - Sequential Monte Carlo Methods in Practice 2001 被引用: 1,141

  19. LipNet: Sentence-level Lipreading

    著者: Yannis Assael, Brendan Shillingford, Shimon Whiteson, Nando de Freitas - arXiv (Cornell University), CoRR 2016 被引用: 210

  20. Hyperparameter Selection for Offline Reinforcement Learning

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

  21. Machine Learning for Ancient Languages: A Survey

    著者: 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 被引用: 64

  22. Meta-learning of Sequential Strategies

    著者: 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 被引用: 78

  23. Offline Learning from Demonstrations and Unlabeled Experience

    著者: 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 被引用: 55

  24. Hyperbolic Attention Networks

    著者: 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 被引用: 276