---
title: "Charles Blundell — author profile and papers in our library"
description: "Charles Blundell: 3 papers on Elamur Research (2016–2017), h-index 26 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/charles-blundell/"
---
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# Charles Blundell

Charles Blundell has 3 papers in our library, in 2016–2017; often with [Alexander Pritzel](https://md.research.elamur.ai/free/en/authors/alexander-pritzel/), [Daan Wierstra](https://md.research.elamur.ai/free/en/authors/daan-wierstra/), [Chrisantha Fernando](https://md.research.elamur.ai/free/en/authors/chrisantha-fernando/).

3 papers in our library · 2016–2017

[OpenAlex](https://openalex.org/A5102898754) · [ORCID](https://orcid.org/0000-0003-0336-0696) · [Wikidata](https://www.wikidata.org/wiki/Q100759891) · [**h-index 26**](https://openalex.org/authors/A5102898754) · [67 works](https://openalex.org/works?filter=author.id:A5102898754) · [9,056 citations](https://openalex.org/works?filter=author.id:A5102898754&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/charles-blundell/#papers) · [🔗 Cited 740 times in our library](https://md.research.elamur.ai/free/en/authors/charles-blundell/cited-by/) · [10 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #1412](https://md.research.elamur.ai/free/en/paper-stars/page/15/#star-1412)

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=Charles+Blundell) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Charles+Blundell) · [dblp](https://dblp.org/search?q=Charles+Blundell) · [ACL Anthology](https://aclanthology.org/search/?q=Charles+Blundell)

## Affiliations

[🏢**Google DeepMind** London · United Kingdom 2013–2023 · 24 papers](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🏢**Google** Mountain View · United States 2015–2021 · 18 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**University College London** London · United Kingdom 2010–2015 · 7 papers](https://md.research.elamur.ai/free/en/universities/university-college-london/) · [🔬**Gatsby Computational Neuroscience Unit** London · United Kingdom 2011–2015 · 4 papers](https://ror.org/0269epf40)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [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/)

💡 Concepts 2 Key ideas and methods explained on our concept pages.[Few-shot learning · 1 work](https://md.research.elamur.ai/free/en/concepts/few-shot-learning/) · [Natural language processing · 1 work](https://md.research.elamur.ai/free/en/concepts/natural-language-processing/)

## Works by year

### 2010s

[**2017** 1 paper](https://md.research.elamur.ai/free/en/authors/charles-blundell/year/2017/) · [**2016** 2 papers](https://md.research.elamur.ai/free/en/authors/charles-blundell/year/2016/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Matching Networks for One Shot Learning](https://md.research.elamur.ai/free/en/papers/vinyals-2016-matching-networks-one-shot-learning/)** *(2016 · 1,197 citations)* The paper addresses one-shot learning: how to train a neural network to recognize a new class when only one or a few labeled examples are available.
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

13 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. **[Weight Uncertainty in Neural Networks ↗](https://arxiv.org/abs/1505.05424) arXiv (Cornell University) · no summary yet**Charles Blundell et al.*2015 · 1,217 citations*
2. [**Matching Networks for One Shot Learning arXiv:1606.04080**Oriol Vinyals, Charles Blundell, Timothy Lillicrap, et al.*2016 · 1,197 citations*](https://md.research.elamur.ai/free/en/papers/vinyals-2016-matching-networks-one-shot-learning/)
3. **[Weight Uncertainty in Neural Network ↗](https://openalex.org/W2164411961) International Conference on Machine Learning · no summary yet**Charles Blundell et al.*2015 · 840 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. **[Noisy Networks for Exploration ↗](https://arxiv.org/abs/1706.10295) arXiv (Cornell University) · no summary yet**Meire Fortunato et al.*2017 · 570 citations*
6. [**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/)
7. **[Agent57: Outperforming the Atari Human Benchmark ↗](https://arxiv.org/abs/2003.13350) arXiv:2003.13350 · no summary yet**Adrià Puigdomènech Badia et al.*2020 · 235 citations*
8. **[Bayesian Recurrent Neural Networks ↗](https://arxiv.org/abs/1704.02798) arXiv (Cornell University) · no summary yet**Meire Fortunato, Charles Blundell, Oriol Vinyals*2017 · 146 citations*
9. **[Neural Episodic Control ↗](https://arxiv.org/abs/1703.01988) arXiv:1703.01988 · no summary yet**Alexander Pritzel et al.*2017 · 91 citations*
10. **[PonderNet: Learning to Ponder ↗](https://arxiv.org/abs/2107.05407) arXiv:2107.05407 · no summary yet**Andrea Banino, Jan Balaguer, Charles Blundell*2021 · 59 citations*
11. **[Memory-based Parameter Adaptation ↗](https://arxiv.org/abs/1802.10542) arXiv (Cornell University) · no summary yet**Pablo Sprechmann et al.*2018 · 42 citations*
12. **[Pointer Graph Networks ↗](https://arxiv.org/abs/2006.06380) arXiv:2006.06380 · no summary yet**Petar Veličković et al.*2020 · 25 citations*
13. **[Revisiting Bayes by Backprop ↗](https://openalex.org/W2785334672) no summary yet**Meire Fortunato, Charles Blundell, Oriol Vinyals*2018 · 1 citation*

## Co-authors here

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

- [Alexander Pritzel](https://md.research.elamur.ai/free/en/authors/alexander-pritzel/) ×2
- [Daan Wierstra](https://md.research.elamur.ai/free/en/authors/daan-wierstra/) ×2
- [Chrisantha Fernando](https://md.research.elamur.ai/free/en/authors/chrisantha-fernando/)
- [David Ha](https://md.research.elamur.ai/free/en/authors/david-ha/)
- [Dylan Banarse](https://md.research.elamur.ai/free/en/authors/dylan-banarse/)
- [Koray Kavukcuoglu](https://md.research.elamur.ai/free/en/authors/koray-kavukcuoglu/)
- [Oriol Vinyals](https://md.research.elamur.ai/free/en/authors/oriol-vinyals/)
- [Timothy Lillicrap](https://md.research.elamur.ai/free/en/authors/timothy-lillicrap/)

## Venues

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

- International Conference on Machine Learning

## Cited by

Papers of our library cite their works 740 times (of the 149,439 papers whose bibliographies we read); [58 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/charles-blundell/cited-by/).

Updated 2 November 2026
