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Danilo Jimenez Rezende

Active 2011–2025

53
Papers
25,054
Citations
38
h-index
48
i10-index

Citations

Citations per year for Danilo Jimenez Rezende1950: 2 citations1962: 1 citations1965: 1 citations1989: 1 citations1995: 2 citations1998: 1 citations2000: 1 citations2001: 2 citations2004: 1 citations2006: 2 citations2007: 1 citations2011: 2 citations2012: 1 citations2013: 6 citations2014: 16 citations2015: 76 citations2016: 218 citations2017: 406 citations2018: 677 citations2019: 1,143 citations2020: 1,486 citations2021: 1,405 citations2022: 821 citations2023: 745 citations2024: 494 citations2025: 373 citations2026: 135 citations1951–1961: no citations, so these years are not shown1963–1964: no citations, so these years are not shown1966–1988: no citations, so these years are not shown1990–1994: no citations, so these years are not shown1996–1997: no citations, so these years are not shown1999: no citations, so this year is not shown2002–2003: no citations, so these years are not shown2005: no citations, so this year is not shown2008–2010: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,142 citing papers, 26.8% of this breakdownChina: 1,189 citing papers, 14.9% of this breakdownUnited Kingdom: 820 citing papers, 10.2% of this breakdownGermany: 537 citing papers, 6.7% of this breakdownCanada: 348 citing papers, 4.3% of this breakdownSwitzerland: 276 citing papers, 3.5% of this breakdownFrance: 275 citing papers, 3.4% of this breakdownJapan: 274 citing papers, 3.4% of this breakdownAustralia: 187 citing papers, 2.3% of this breakdownNetherlands: 187 citing papers, 2.3% of this breakdownSouth Korea: 180 citing papers, 2.3% of this breakdownItaly: 133 citing papers, 1.7% of this breakdown
0%26.8%Other 18.2%

Institutions

Fields

  • Computer Science70.2%
  • Engineering9.8%
  • Physics and Astronomy5.2%
  • Neuroscience2.9%
  • Medicine2.1%
  • Biochemistry, Genetics and Molecular Biology1.9%
  • Other7.9%

Topics

  • 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%
  • Other78.5%

Coauthors

All papers

Open in search
  1. Variational Inference with Normalizing Flows

    Authors: Danilo Jimenez Rezende, Shakir Mohamed - ICML 2015 cited by 5,034

  2. Normalizing Flows for Probabilistic Modeling and Inference

    Authors: George Papamakarios, Eric T. Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, Balaji Lakshminarayanan - J. Mach. Learn. Res. 2021 cited by 418

  3. Semi-Supervised Learning with Deep Generative Models

    Authors: Diederik P. Kingma, Shakir Mohamed, Danilo Jimenez Rezende, Max Welling - NIPS 2014 cited by 2,943

  4. Variational Intrinsic Control

    Authors: Karol Gregor, Danilo Jimenez Rezende, Daan Wierstra - International Conference on Learning Representations, ICLR (Workshop) 2016 cited by 484

  5. Scaling Instructable Agents Across Many Simulated Worlds

    Authors: 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 cited by 67

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

    Authors: Peter W. Battaglia, Razvan Pascanu, Matthew Lai, Danilo Jimenez Rezende, Koray Kavukcuoglu - NIPS 2016 cited by 1,569

  7. Neural scene representation and rendering

    Authors: 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 cited by 538

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

    Authors: 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 cited by 87

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

    Authors: Danilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra - ICML 2014 cited by 5,713

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

    Authors: 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 cited by 731

  11. Taming VAEs

    Authors: Danilo Jimenez Rezende, Fabio Viola - arXiv (Cornell University), CoRR 2018 cited by 127

  12. Equivariant flow-based sampling for lattice gauge theory

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

  13. Normalizing Flows on Riemannian Manifolds

    Authors: Mevlana C. Gemici, Danilo Jimenez Rezende, Shakir Mohamed - arXiv (Cornell University), CoRR 2016 cited by 78

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

    Authors: 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 cited by 61

  15. Imagination-Augmented Agents for Deep Reinforcement Learning

    Authors: 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 cited by 599

  16. Unsupervised Predictive Memory in a Goal-Directed Agent

    Authors: 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 cited by 148

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

    Authors: 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 cited by 77

  18. Targeted free energy estimation via learned mappings

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

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

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

  20. Learning to Induce Causal Structure

    Authors: 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 cited by 82

  21. Normalizing Flows on Tori and Spheres

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

  22. Equivariant Hamiltonian Flows

    Authors: Danilo Jimenez Rezende, Sébastien Racanière, Irina Higgins, Peter Toth - arXiv (Cornell University), CoRR 2019 cited by 56

  23. DRAW: A Recurrent Neural Network For Image Generation

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

  24. Conditional Neural Processes

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