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Danilo Jimenez Rezende

2011–2025 年に発表

53
論文数
25,054
被引用数
38
h 指数
48
i10 指数

被引用数

Danilo Jimenez Rezende の年別被引用数1950 年: 被引用 2 件1962 年: 被引用 1 件1965 年: 被引用 1 件1989 年: 被引用 1 件1995 年: 被引用 2 件1998 年: 被引用 1 件2000 年: 被引用 1 件2001 年: 被引用 2 件2004 年: 被引用 1 件2006 年: 被引用 2 件2007 年: 被引用 1 件2011 年: 被引用 2 件2012 年: 被引用 1 件2013 年: 被引用 6 件2014 年: 被引用 16 件2015 年: 被引用 76 件2016 年: 被引用 218 件2017 年: 被引用 406 件2018 年: 被引用 677 件2019 年: 被引用 1,143 件2020 年: 被引用 1,486 件2021 年: 被引用 1,405 件2022 年: 被引用 821 件2023 年: 被引用 745 件2024 年: 被引用 494 件2025 年: 被引用 373 件2026 年: 被引用 135 件1951〜1961 年は被引用が無いため表示していません1963〜1964 年は被引用が無いため表示していません1966〜1988 年は被引用が無いため表示していません1990〜1994 年は被引用が無いため表示していません1996〜1997 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2002〜2003 年は被引用が無いため表示していません2005 年は被引用が無いため表示していません2008〜2010 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 2,142 件、この内訳の 26.8%中国: 引用元論文 1,189 件、この内訳の 14.9%イギリス: 引用元論文 820 件、この内訳の 10.2%ドイツ: 引用元論文 537 件、この内訳の 6.7%カナダ: 引用元論文 348 件、この内訳の 4.3%スイス: 引用元論文 276 件、この内訳の 3.5%フランス: 引用元論文 275 件、この内訳の 3.4%日本: 引用元論文 274 件、この内訳の 3.4%オーストラリア: 引用元論文 187 件、この内訳の 2.3%オランダ: 引用元論文 187 件、この内訳の 2.3%韓国: 引用元論文 180 件、この内訳の 2.3%イタリア: 引用元論文 133 件、この内訳の 1.7%
0%26.8%その他 18.2%

機関

分野

  • Computer Science70.2%
  • Engineering9.8%
  • Physics and Astronomy5.2%
  • Neuroscience2.9%
  • Medicine2.1%
  • Biochemistry, Genetics and Molecular Biology1.9%
  • その他7.9%

トピック

  • Generative Adversarial Networks and Image Synthesis6.8%
  • Reinforcement Learning in Robotics3.6%
  • Domain Adaptation and Few-Shot Learning3.4%
  • Topic Modeling2.8%
  • Gaussian Processes and Bayesian Inference2.5%
  • Multimodal Machine Learning Applications2.4%
  • その他78.5%

共著者

全論文

検索で開く
  1. Variational Inference with Normalizing Flows

    著者: Danilo Jimenez Rezende, Shakir Mohamed - ICML 2015 被引用: 5,034

  2. Normalizing Flows for Probabilistic Modeling and Inference

    著者: George Papamakarios, Eric T. Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, Balaji Lakshminarayanan - J. Mach. Learn. Res. 2021 被引用: 418

  3. Semi-Supervised Learning with Deep Generative Models

    著者: Diederik P. Kingma, Shakir Mohamed, Danilo Jimenez Rezende, Max Welling - NIPS 2014 被引用: 2,943

  4. Variational Intrinsic Control

    著者: Karol Gregor, Danilo Jimenez Rezende, Daan Wierstra - International Conference on Learning Representations, ICLR (Workshop) 2016 被引用: 484

  5. Scaling Instructable Agents Across Many Simulated Worlds

    著者: SIMA team, Maria Abi Raad, Arun Ahuja, Catarina Barros, Frederic Besse, Andrew Bolt, Adrian Bolton, Bethanie Brownfield, Gavin Buttimore, Max Cant, Sarah Chakera, Stephanie C. Y. Chan, Jeff Clune, Adrian Collister, Vikki Copeman, Alex Cullum, Ishita Dasgupta, Dario De Cesare, Julia Di Trapani, Yani Donchev, Emma Dunleavy, Martin Engelcke, Ryan Faulkner, Frankie Garcia, Charles Gbadamosi, Zhitao Gong, L. E. Gonzales, Kshitij Gupta, Karol Gregor, Arne Olav Hallingstad, Tim Harley, Sam Haves, Felix Hill, Ed Hirst, Drew A. Hudson, J. J. Hudson, Steph Hughes-Fitt, Danilo Jimenez Rezende, Mimi Jasarevic, Laura Kampis, Rosemary Ke, Thomas M. Keck, Junkyung Kim, Oscar Knagg, Kavya Kopparapu, Lawton, Rory, Andrew K. Lampinen, Shane Legg, Alexander Lerchner, Marjorie Limont, Yulan Liu, Maria Loks-Thompson, Joseph Marino, Kathryn Martin Cussons, Löıc Matthey, Siobhan Mcloughlin, Piermaria Mendolicchio, Hamza Merzić, Anna Mitenkova, Alexandre Moufarek, Valeria Oliveira, Yanko Oliveira, Hannah Openshaw, Renke Pan, Aneesh Pappu, Alex Platonov, Ollie Purkiss, David Reichert, John Reid, Pierre Harvey Richemond, Tyson Roberts, Giles Ruscoe, Jaume Sanchez Elias, Tasha Sandars, Daniel P. Sawyer, Tim Scholtes, Guy Simmons, Daniel Slater, Hubert Soyer, Heiko Strathmann, Peter K. Stys, Allison C. Tam, Denis Teplyashin, Tayfun Terzi, Davide Vercelli, Bojan Vujatovic, Marcus Wainwright, Jane X. Wang, Zhengdong Wang, Daan Wierstra, Duncan Williams, Nathaniel Wong, Sarah York, N. Young - arXiv (Cornell University), CoRR 2024 被引用: 67

  6. Interaction Networks for Learning about Objects, Relations and Physics

    著者: Peter W. Battaglia, Razvan Pascanu, Matthew Lai, Danilo Jimenez Rezende, Koray Kavukcuoglu - NIPS 2016 被引用: 1,569

  7. Neural scene representation and rendering

    著者: S. M. Ali Eslami, Danilo Jimenez Rezende, Frederic Besse, Fabio Viola, Ari S. Morcos, Marta Garnelo, Avraham Ruderman, Andrei A. Rusu, Ivo Danihelka, Karol Gregor, David Reichert, Lars Buesing, Théophane Weber, Oriol Vinyals, Dan Rosenbaum, Neil C. Rabinowitz, Helen King, Chloe Hillier, Matt Botvinick, Daan Wierstra, Koray Kavukcuoglu, Demis Hassabis - Science 2018 被引用: 538

  8. Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving

    著者: Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, Siyuan Guo, Michal Valko, Timothy P. Lillicrap, Danilo Jimenez Rezende, Yoshua Bengio, Michael C. Mozer, Sanjeev Arora - Advances in Neural Information Processing Systems 37, NeurIPS 2024 被引用: 87

  9. Stochastic Back-propagation and Variational Inference in Deep Latent Gaussian Models

    著者: Danilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra - ICML 2014 被引用: 5,713

  10. A Probabilistic U-Net for Segmentation of Ambiguous Images

    著者: Simon Kohl, Bernardino Romera-Paredes, Clemens Meyer, Jeffrey De Fauw, Joseph R. Ledsam, Klaus H. Maier-Hein, S. M. Ali Eslami, Danilo Jimenez Rezende, Olaf Ronneberger - NeurIPS 2018 被引用: 731

  11. Taming VAEs

    著者: Danilo Jimenez Rezende, Fabio Viola - arXiv (Cornell University), CoRR 2018 被引用: 127

  12. Equivariant flow-based sampling for lattice gauge theory

    著者: Gurtej Kanwar, Michael S. Albergo, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Sébastien Racanière, Danilo Jimenez Rezende, Phiala E. Shanahan - Physical Review Letters 2020 被引用: 198

  13. Normalizing Flows on Riemannian Manifolds

    著者: Mevlana C. Gemici, Danilo Jimenez Rezende, Shakir Mohamed - arXiv (Cornell University), CoRR 2016 被引用: 78

  14. A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities

    著者: Simon A. A. Kohl, Bernardino Romera-Paredes, Klaus H. Maier-Hein, Danilo Jimenez Rezende, S. M. Ali Eslami, Pushmeet Kohli, Andrew Zisserman, Olaf Ronneberger - arXiv (Cornell University), CoRR 2019 被引用: 61

  15. Imagination-Augmented Agents for Deep Reinforcement Learning

    著者: Sébastien Racanière, Theophane Weber, David P. Reichert, Lars Buesing, Arthur Guez, Danilo Jimenez Rezende, Adrià Puigdomènech Badia, Oriol Vinyals, Nicolas Heess, Yujia Li, Razvan Pascanu, Peter W. Battaglia, Demis Hassabis, David Silver, Daan Wierstra - NIPS 2017 被引用: 599

  16. Unsupervised Predictive Memory in a Goal-Directed Agent

    著者: Greg Wayne, Chia-Chun Hung, Amos David, Mehdi Mirza, Arun Ahuja, Agnieszka Grabska‐Barwińska, Jack W. Rae, Piotr Mirowski, Joel Z. Leibo, Adam Santoro, Mevlana Gemici, Malcolm Reynolds, Tim Harley, Josh Abramson, Shakir Mohamed, Danilo Jimenez Rezende, David Saxton, Adam Cain, Chloe Hillier, David Silver, Koray Kavukcuoglu, Matthew Botvinick, Demis Hassabis, Timothy Lillicrap - arXiv (Cornell University), CoRR 2018 被引用: 148

  17. Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning

    著者: Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, Danilo Jimenez Rezende, Michael Mozer, Yoshua Bengio, Chris Pal - NeurIPS Datasets and Benchmarks 2021 被引用: 77

  18. Targeted free energy estimation via learned mappings

    著者: Peter Wirnsberger, Andrew J. Ballard, George Papamakarios, Stuart Abercrombie, Sébastien Racanière, Alexander Pritzel, Danilo Jimenez Rezende, Charles Blundell - The Journal of Chemical Physics 2020 被引用: 71

  19. NeRF-VAE: A Geometry Aware 3D Scene Generative Model

    著者: Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Pol Moreno, Rosalia Schneider, Sona Mokrá, Danilo Jimenez Rezende - International Conference on Machine Learning, ICML 2021 被引用: 173

  20. Learning to Induce Causal Structure

    著者: Nan Rosemary Ke, Silvia Chiappa, Jane Wang, Anirudh Goyal, Jörg Bornschein, Rey, Melanie, Théophane Weber, Matthew Botvinic, Michael C. Mozer, Danilo Jimenez Rezende - ICLR 2023 被引用: 82

  21. Normalizing Flows on Tori and Spheres

    著者: Danilo Jimenez Rezende, George Papamakarios, Sébastien Racanière, Michael S. Albergo, Gurtej Kanwar, Phiala E. Shanahan, Kyle Cranmer - International Conference on Machine Learning, ICML 2020 被引用: 187

  22. Equivariant Hamiltonian Flows

    著者: Danilo Jimenez Rezende, Sébastien Racanière, Irina Higgins, Peter Toth - arXiv (Cornell University), CoRR 2019 被引用: 56

  23. DRAW: A Recurrent Neural Network For Image Generation

    著者: Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, Daan Wierstra - http://www.jmlr.org/proceedings/papers/v37/gregor15.pdf, ICML 2015 被引用: 2,010

  24. Conditional Neural Processes

    著者: Marta Garnelo, Dan Rosenbaum, Christopher Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo Jimenez Rezende, S. M. Ali Eslami - ICML 2018 被引用: 867