--- title: "Alexander Pritzel — author profile and papers in our library" description: "Alexander Pritzel: 3 papers on Elamur Research (2016–2021), h-index 27 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/alexander-pritzel/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/alexander-pritzel/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Alexander Pritzel # Alexander Pritzel Alexander Pritzel has 3 papers in our library, in 2016–2021; often with [Charles Blundell](https://md.research.elamur.ai/free/en/authors/charles-blundell/), [Anna Potapenko](https://md.research.elamur.ai/free/en/authors/anna-potapenko/), [Chrisantha Fernando](https://md.research.elamur.ai/free/en/authors/chrisantha-fernando/). 3 papers in our library · 2016–2021 [OpenAlex](https://openalex.org/A5062883663) · [ORCID](https://orcid.org/0000-0002-4233-9040) · [Wikidata](https://www.wikidata.org/wiki/Q100759888) · [**h-index 27**](https://openalex.org/authors/A5062883663) · [40 works](https://openalex.org/works?filter=author.id:A5062883663) · [83,771 citations](https://openalex.org/works?filter=author.id:A5062883663&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/alexander-pritzel/#papers) · [🔗 Cited 4,046 times in our library](https://md.research.elamur.ai/free/en/authors/alexander-pritzel/cited-by/) · [6 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #36](https://md.research.elamur.ai/free/en/paper-stars/#star-36) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Alexander+Pritzel) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Alexander+Pritzel) · [dblp](https://dblp.org/search?q=Alexander+Pritzel) · [ACL Anthology](https://aclanthology.org/search/?q=Alexander+Pritzel) ## Affiliations [🏢**Google DeepMind** London · United Kingdom 2015–2024 · 18 papers](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🏢**Google** Mountain View · United States 2015–2020 · 6 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Ludwig-Maximilians-Universität München** Munich · Germany 2011–2016 · 5 papersEducation](https://md.research.elamur.ai/free/en/universities/ludwig-maximilians-universitat-munchen/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Biochemistry, Genetics and Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Materials Chemistry · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/materials-chemistry/) · [Materials Science · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/) · [Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) ## Works by year ### 2020s [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/alexander-pritzel/year/2021/) ### 2010s [**2017** 1 paper](https://md.research.elamur.ai/free/en/authors/alexander-pritzel/year/2017/) · [**2016** 1 paper](https://md.research.elamur.ai/free/en/authors/alexander-pritzel/year/2016/) ## Papers The most cited first (OpenAlex and our library). 1. **[Highly accurate protein structure prediction with AlphaFold](https://md.research.elamur.ai/free/en/papers/jumper-2021-highly-accurate-protein-structure-prediction/)** *(2021 · 43,527 citations)* Determining a protein's 3D shape experimentally can take months or years. As a result, only around 100,000 unique structures are known, against billions of known sequences. Predicting structure from the amino acid sequence alone has been open for more than 50 years, and earlier methods fell well short of atomic… 2. **[PathNet: Evolution Channels Gradient Descent in Super Neural Networks](https://md.research.elamur.ai/free/en/papers/fernando-2017-pathnet-evolution-channels-gradient-descent/)** *(2017 · 667 citations)* The paper asks how one very large neural network could learn many tasks one after another. The goal is to reuse earlier knowledge without overwriting it, which is known as catastrophic forgetting. The authors propose PathNet, a modular network of several layers, each with many small modules. A population of… 3. **[Deep Exploration via Bootstrapped DQN](https://md.research.elamur.ai/free/en/papers/osband-2016-deep-exploration-bootstrapped-dqn/)** *(2016 · 490 citations)* Reinforcement learning agents typically explore with dithering schemes like ε-greedy. These schemes randomly perturb individual actions and cannot pursue information over several steps, which can make learning exponentially slower. Provably efficient alternatives exist, but they mostly apply only to small tabular… ## All works 9 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[Highly accurate protein structure prediction with AlphaFold](https://md.research.elamur.ai/free/en/papers/jumper-2021-highly-accurate-protein-structure-prediction/) [Nature](https://md.research.elamur.ai/free/en/venues/nature/)**John Jumper, Richard Evans, Alexander Pritzel, et al.*2021 · 43,527 citations* 2. **[Highly accurate protein structure prediction for the human proteome ↗](https://doi.org/10.1038/s41586-021-03828-1) Nature · no summary yet**Kathryn Tunyasuvunakool et al.*2021 · 3,004 citations* 3. **[Learning skillful medium-range global weather forecasting ↗](https://doi.org/10.1126/science.adi2336) Science · no summary yet**Rémi Lam et al.*2023 · 1,493 citations* 4. [**PathNet: Evolution Channels Gradient Descent in Super Neural Networks arXiv:1701.08734**Chrisantha Fernando, Dylan Banarse, Charles Blundell, et al.*2017 · 667 citations*](https://md.research.elamur.ai/free/en/papers/fernando-2017-pathnet-evolution-channels-gradient-descent/) 5. [**Deep Exploration via Bootstrapped DQN arXiv:1602.04621**Ian Osband, Charles Blundell, Alexander Pritzel, et al.*2016 · 490 citations*](https://md.research.elamur.ai/free/en/papers/osband-2016-deep-exploration-bootstrapped-dqn/) 6. **[Applying and improving AlphaFold at CASP14 ↗](https://doi.org/10.1002/prot.26257) Proteins Structure Function and Bioinformatics · no summary yet**John Jumper et al.*2021 · 395 citations* 7. **[GraphCast: Learning skillful medium-range global weather forecasting ↗](https://arxiv.org/abs/2212.12794) arXiv (Cornell University) · no summary yet**Rémi Lam et al.*2022 · 182 citations* 8. **[Neural Episodic Control ↗](https://arxiv.org/abs/1703.01988) arXiv:1703.01988 · no summary yet**Alexander Pritzel et al.*2017 · 91 citations* 9. **[Memory-based Parameter Adaptation ↗](https://arxiv.org/abs/1802.10542) arXiv (Cornell University) · no summary yet**Pablo Sprechmann et al.*2018 · 42 citations* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Charles Blundell](https://md.research.elamur.ai/free/en/authors/charles-blundell/) ×2 - [Anna Potapenko](https://md.research.elamur.ai/free/en/authors/anna-potapenko/) - [Chrisantha Fernando](https://md.research.elamur.ai/free/en/authors/chrisantha-fernando/) - [Daan Wierstra](https://md.research.elamur.ai/free/en/authors/daan-wierstra/) - [David Ha](https://md.research.elamur.ai/free/en/authors/david-ha/) - [Dylan Banarse](https://md.research.elamur.ai/free/en/authors/dylan-banarse/) - [Olaf Ronneberger](https://md.research.elamur.ai/free/en/authors/olaf-ronneberger/) - [Richard Evans](https://md.research.elamur.ai/free/en/authors/richard-evans/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Nature](https://md.research.elamur.ai/free/en/venues/nature/) ×2: [Nature 2021](https://md.research.elamur.ai/free/en/venues/nature/2021/) - Proteins Structure Function and Bioinformatics - Science ## Cited by Papers of our library cite their works 4,046 times (of the 149,439 papers whose bibliographies we read); [846 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/alexander-pritzel/cited-by/). Updated 2 November 2026