litlas
Log inCreate account

Shakir Mohamed

Active 2006–2026

77
Papers
30,501
Citations
43
h-index
63
i10-index

Citations

Citations per year for Shakir Mohamed1950: 1 citations1962: 1 citations1965: 1 citations1994: 1 citations1995: 2 citations1998: 1 citations2000: 1 citations2001: 2 citations2005: 1 citations2006: 3 citations2007: 2 citations2008: 5 citations2009: 3 citations2010: 11 citations2011: 12 citations2012: 15 citations2013: 23 citations2014: 35 citations2015: 63 citations2016: 128 citations2017: 311 citations2018: 666 citations2019: 1,262 citations2020: 1,832 citations2021: 1,796 citations2022: 1,165 citations2023: 1,189 citations2024: 1,217 citations2025: 1,171 citations2026: 433 citations2027: 1 citations1951–1961: no citations, so these years are not shown1963–1964: no citations, so these years are not shown1966–1993: no citations, so these years are not shown1996–1997: no citations, so these years are not shown1999: no citations, so this year is not shown2002–2004: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 3,049 citing papers, 25.5% of this breakdownChina: 1,738 citing papers, 14.6% of this breakdownUnited Kingdom: 1,229 citing papers, 10.3% of this breakdownGermany: 760 citing papers, 6.4% of this breakdownCanada: 548 citing papers, 4.6% of this breakdownFrance: 421 citing papers, 3.5% of this breakdownJapan: 366 citing papers, 3.1% of this breakdownSwitzerland: 337 citing papers, 2.8% of this breakdownAustralia: 321 citing papers, 2.7% of this breakdownNetherlands: 285 citing papers, 2.4% of this breakdownSouth Korea: 270 citing papers, 2.3% of this breakdownItaly: 226 citing papers, 1.9% of this breakdown
0%25.5%Other 19.9%

Institutions

Fields

  • Computer Science60.8%
  • Engineering6.9%
  • Medicine6.2%
  • Social Sciences5.1%
  • Earth and Planetary Sciences4.7%
  • Physics and Astronomy3.7%
  • Other12.6%

Topics

  • Generative Adversarial Networks and Image Synthesis7.1%
  • Domain Adaptation and Few-Shot Learning2.9%
  • Topic Modeling2.5%
  • Gaussian Processes and Bayesian Inference2.3%
  • Adversarial Robustness in Machine Learning2.2%
  • Anomaly Detection Techniques and Applications2.2%
  • Other80.8%

Coauthors

All papers

Open in search
  1. Learning skillful medium-range global weather forecasting

    Authors: Rémi Lam, Álvaro Sánchez‐González, Matthew Willson, Peter Wirnsberger, Meire Fortunato, Ferran Alet, Suman Ravuri, Timo Ewalds, Zach Eaton-Rosen, Weihua Hu, Alexander Merose, Stephan Hoyer, George Holland, Oriol Vinyals, Jacklynn Stott, Alexander Pritzel, Shakir Mohamed, Peter Battaglia - Science 2023 cited by 1,309

  2. beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework

    Authors: Irina Higgins, Loïc Matthey, Arka Pal, Christopher P. Burgess, Xavier Glorot, Matthew M. Botvinick, Shakir Mohamed, Alexander Lerchner - International Conference on Learning Representations, ICLR (Poster) 2017 cited by 6,070

  3. Skilful precipitation nowcasting using deep generative models of radar

    Authors: Suman V. Ravuri, Karel Lenc, Matthew Willson, Dmitry Kangin, Rémi Lam, Piotr Mirowski, Megan Fitzsimons, Maria Athanassiadou, Sheleem Kashem, Sam Madge, Rachel Prudden, Amol Mandhane, Aidan Clark, Andrew Brock, Karen Simonyan, Raia Hadsell, Niall H. Robinson, Ellen Clancy, Alberto Arribas, Shakir Mohamed - Nature, Nat. 2021 cited by 964

  4. Power to the People? Opportunities and Challenges for Participatory AI

    Authors: Abeba Birhane, William Isaac, Vinodkumar Prabhakaran, Mark Diaz, Madeleine Clare Elish, Iason Gabriel, Shakir Mohamed - Equity and Access in Algorithms Mechanisms and Optimization, EAAMO 2022 cited by 292

  5. GraphCast: Learning skillful medium-range global weather forecasting

    Authors: Rémi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson, Peter Wirnsberger, Meire Fortunato, Alexander Pritzel, Suman V. Ravuri, Timo Ewalds, Ferran Alet, Zach Eaton-Rosen, Weihua Hu, Alexander Merose, Stephan Hoyer, George Holland, Jacklynn Stott, Oriol Vinyals, Shakir Mohamed, Peter W. Battaglia - arXiv (Cornell University), CoRR 2022 cited by 268

  6. GenCast: Diffusion-based ensemble forecasting for medium-range weather

    Authors: Ilan Price, Álvaro Sánchez‐González, Ferran Alet, Andersson, Tom R., Andrew El-Kadi, Masters, Dominic, Timo Ewalds, Jacklynn Stott, Shakir Mohamed, Peter Battaglia, Rémi Lam, Matthew Willson - arXiv (Cornell University), CoRR 2023 cited by 179

  7. Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence

    Authors: Shakir Mohamed, Marie-Therese Png, William Isaac - Philosophy & Technology 2020 cited by 730

  8. Variational Inference with Normalizing Flows

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

  9. A clinically applicable approach to continuous prediction of future acute kidney injury

    Authors: Nenad Tomašev, Xavier Glorot, Jack W. Rae, Michał Zieliński, Harry Askham, André Saraiva, Anne Mottram, Clemens Meyer, Suman Ravuri, Ivan Protsyuk, Alistair Connell, Cían Hughes, Alan Karthikesalingam, Julien Cornebise, Hugh Montgomery, Geraint Rees, Chris Laing, Clifton R. Baker, Kelly Peterson, Ruth Reeves, Demis Hassabis, Dominic King, Mustafa Suleyman, Trevor Back, Christopher Nielson, Joseph R. Ledsam, Shakir Mohamed - Nature 2019 cited by 1,136

  10. Probabilistic weather forecasting with machine learning

    Authors: Ilan Price, Alvaro Sanchez-Gonzalez, Ferran Alet, Tom R. Andersson, Andrew El-Kadi, Dominic Masters, Timo Ewalds, Jacklynn Stott, Shakir Mohamed, Peter W. Battaglia, Rémi R. Lam, Matthew Willson - Nature, Nat. 2024 cited by 306

  11. 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

  12. Semi-Supervised Learning with Deep Generative Models

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

  13. AI for social good: unlocking the opportunity for positive impact

    Authors: Nenad Tomašev, Julien Cornebise, Frank Hutter, Shakir Mohamed, Angela Picciariello, Bec Connelly, Danielle Belgrave, Daphne Ezer, Fanny Cachat van der Haert, Frank Mugisha, Gerald Abila, Hiromi Arai, Hisham Almiraat, Julia Proskurnia, Kyle Snyder, Mihoko Otake, Mustafa Othman, Tobias Glasmachers, Wilfried De Wever, Yee Whye Teh, Mohammad Emtiyaz Khan, Ruben De Winne, Tom Schaul, Claudia Clopath - Nature Communications 2020 cited by 335

  14. Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach

    Authors: Irina Jurenka, Markus Kunesch, Kevin R. McKee, Daniel Gillick, Shaojian Zhu, Sara Wiltberger, Shubham Milind Phal, Katherine L. Hermann, Daniel Kasenberg, Avishkar Bhoopchand, Ankit Anand, Miruna Pîslar, Stephanie Chan, Lisa Wang, Jennifer She, Parsa Mahmoudieh, Aliya Rysbek, Wei-Jen Ko, Andrea Huber, Brett Wiltshire, Gal Elidan, Roni Rabin, Jasmin Rubinovitz, Amit Pitaru, Mac McAllister, Julia Wilkowski, David Choi, Roee Engelberg, Lidan Hackmon, Adva Levin, Rachel Griffin, Michael Sears, Filip Bar, Mia Mesar, Mana Jabbour, Arslan Chaudhry, James Cohan, Sridhar Thiagarajan, Nir Levine, Ben Brown, Dilan Görür, Svetlana Grant, Rachel Hashimshoni, Laura Weidinger, Jieru Hu, Dawn Chen, Kuba Dolecki, Canfer Akbulut, Maxwell L. Bileschi, Laura Culp, Wen-Xin Dong, Nahema Marchal, Kelsie Van Deman, Hema Bajaj Misra, Michael Duah, Moran Ambar, Avi Caciularu, Sandra Lefdal, Christopher Summerfield, James An, Pierre-Alexandre Kamienny, Abhinit Mohdi, Theofilos Strinopoulos, Annie Hale, Wayne Anderson, Luis C. Cobo, Niv Efron, Muktha Ananda, Shakir Mohamed, Maureen Heymans, Zoubin Ghahramani, Yossi Matias, Ben Gomes, Lila Ibrahim - arXiv (Cornell University), CoRR 2024 cited by 62

  15. The Cramer Distance as a Solution to Biased Wasserstein Gradients

    Authors: Marc G. Bellemare, Ivo Danihelka, Will Dabney, Shakir Mohamed, Balaji Lakshminarayanan, Stephan Hoyer, Rémi Munos - arXiv (Cornell University), CoRR 2017 cited by 265

  16. LearnLM: Improving Gemini for Learning

    Authors: LearnLM Team, Abhinit Modi, Aditya Srikanth Veerubhotla, Aliya Rysbek, Andrea Huber, Brett Wiltshire, Brian Veprek, Daniel Gillick, Daniel Kasenberg, Derek Ahmed, Irina Jurenka, James Cohan, Jennifer She, Julia Wilkowski, Kaiz Alarakyia, Kevin R. McKee, Lisa Wang, Markus Kunesch, Mike Schaekermann, Mîruna Pislar, Nikhil Joshi, Parsa Mahmoudieh, Paul Jhun, Sara Wiltberger, Shakir Mohamed, Agarwal, Shashank, Shubham Milind Phal, Sun Jae Lee, Theofilos Strinopoulos, Wei-Jen Ko, Amy Wang, Ankit Anand, Avishkar Bhoopchand, Wild, Dan, Pandya, Divya, Filip Bar, Garth Graham, Holger Winnemoeller, Mahvish Nagda, Prateek Kolhar, Renee Schneider, Shaojian Zhu, Stephanie C. Y. Chan, Steve Yadlowsky, Viknesh Sounderajah, Yannis Assael - arXiv (Cornell University), CoRR 2024 cited by 49

  17. Learning in Implicit Generative Models

    Authors: Shakir Mohamed, Balaji Lakshminarayanan - arXiv (Cornell University), CoRR 2016 cited by 266

  18. 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

  19. A Robot Walks into a Bar: Can Language Models Serve as Creativity SupportTools for Comedy? An Evaluation of LLMs' Humour Alignment with Comedians

    Authors: Piotr Mirowski, Juliette Love, Kory W. Mathewson, Shakir Mohamed - The 2024 ACM Conference on Fairness Accountability and Transparency, FAccT 2024 cited by 34

  20. The Illusion of Artificial Inclusion

    Authors: William Agnew, A. Stevie Bergman, Jennifer Chien, Mark Díaz, Seliem El-Sayed, Jaylen Pittman, Shakir Mohamed, Kevin R. McKee - CHI Conference on Human Factors in Computing Systems 2024 cited by 55

  21. Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records

    Authors: Nenad Tomašev, Natalie Harris, Sebastien Baur, Anne Mottram, Xavier Glorot, Jack W. Rae, Michał Zieliński, Harry Askham, André Saraiva, Valerio Magliulo, Clemens Meyer, Suman Ravuri, Ivan Protsyuk, Alistair Connell, Cían Hughes, Alan Karthikesalingam, Julien Cornebise, Hugh Montgomery, Geraint Rees, Chris Laing, Clifton R. Baker, Thomas F. Osborne, Ruth Reeves, Demis Hassabis, Dominic King, Mustafa Suleyman, Trevor Back, Christopher Nielson, Martin Seneviratne, Joseph R. Ledsam, Shakir Mohamed - Nature Protocols 2021 cited by 110

  22. STELA: a community-centred approach to norm elicitation for AI alignment

    Authors: Stevie Bergman, Nahema Marchal, John Mellor, Shakir Mohamed, Iason Gabriel, William Isaac - Scientific Reports 2024 cited by 38

  23. Epistemic Injustice in Generative AI

    Authors: Jackie Kay, Atoosa Kasirzadeh, Shakir Mohamed - AAAI/ACM Conference on AI Ethics and Society, AIES (1) 2024 cited by 42

  24. Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities

    Authors: Nenad Tomasev, Kevin R. McKee, Jackie Kay, Shakir Mohamed - AAAI/ACM Conference on AI, AIES 2021 cited by 102