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Shakir Mohamed

Shakir Mohamed has 2 papers in our library, in 2014–2015; often with Danilo Jimenez Rezende, Daan Wierstra.

2 papers in our library · 2014–2015

OpenAlex · ORCID · Wikidata · h-index 38 · 81 works · 16,772 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 797 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #816

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢Google DeepMindLondon · United Kingdom2012–2025 · 25 papersEmployment since 2013 · Senior Staff Scientistcurrent🏢GoogleMountain View · United States2016–2024 · 11 papers🎓University of British ColumbiaVancouver · Canada2012–2013 · 7 papers🎓University of CambridgeCambridge · United Kingdom2008–2009 · 3 papers🏢GoogleLondon · United Kingdom2015–2016 · 2 papers🎓University of the WitwatersrandJohannesburg · South Africa2006–2007 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksMathematics · 2 worksStatistics and Probability · 2 works

 Works by year

2010s

20151 paper20141 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Stochastic Backpropagation and Approximate Inference in Deep Generative Models (2014 · 2,765 citations)
    The paper addresses a long-standing difficulty with deep directed generative models: sampling from them is easy, but inferring their hidden variables efficiently has been hard.
  2. Variational Inference with Normalizing Flows (2015 · 1,441 citations)
    Variational inference usually relies on simple posterior families, such as mean-field or diagonal Gaussians, so the approximation can never match the true posterior.

All works

7 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Stochastic Backpropagation and Approximate Inference in Deep Generative ModelsarXiv:1401.4082Danilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra2014 · 2,765 citations
  2. Semi-Supervised Learning with Deep Generative Models ↗UvA-DARE (University of Amsterdam) · no summary yetDiederik P. Kingma et al.2014 · 1,550 citations
  3. Learning skillful medium-range global weather forecasting ↗Science · no summary yetRémi Lam et al.2023 · 1,493 citations
  4. Variational Inference with Normalizing FlowsDanilo Jimenez Rezende, Shakir Mohamed2015 · 1,441 citations
  5. GraphCast: Learning skillful medium-range global weather forecasting ↗arXiv (Cornell University) · no summary yetRémi Lam et al.2022 · 182 citations
  6. Unsupervised Predictive Memory in a Goal-Directed Agent ↗arXiv (Cornell University) · no summary yetGreg Wayne et al.2018 · 140 citations
  7. Learning Implicit Generative Models with the Method of Learned Moments ↗arXiv (Cornell University) · no summary yetSuman V. Ravuri et al.2018 · 10 citations

 Co-authors here

2 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 797 times (of the 149,439 papers whose bibliographies we read); 48 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/shakir-mohamed/