🧑‍🔬 Charles Blundell

🏛️ Affiliations

🏢Google DeepMindLondon · United Kingdom2013–2023 · 24 papers🏢GoogleMountain View · United States2015–2021 · 18 papers🎓University College LondonLondon · United Kingdom2010–2015 · 7 papers🔬Gatsby Computational Neuroscience UnitLondon · United Kingdom2011–2015 · 4 papers

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.

📅 Works by year

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Matching Networks for 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 (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 (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 ↗arXiv (Cornell University) · no summary yetCharles Blundell et al.2015 · 1,217 citations
2. Matching Networks for One Shot LearningarXiv:1606.04080Oriol Vinyals, Charles Blundell, Timothy Lillicrap, et al.2016 · 1,197 citations
3. Weight Uncertainty in Neural Network ↗International Conference on Machine Learning · no summary yetCharles Blundell et al.2015 · 840 citations
4. PathNet: Evolution Channels Gradient Descent in Super Neural NetworksarXiv:1701.08734Chrisantha Fernando, Dylan Banarse, Charles Blundell, et al.2017 · 667 citations
5. Noisy Networks for Exploration ↗arXiv (Cornell University) · no summary yetMeire Fortunato et al.2017 · 570 citations
6. Deep Exploration via Bootstrapped DQNarXiv:1602.04621Ian Osband, Charles Blundell, Alexander Pritzel, et al.2016 · 490 citations
7. Agent57: Outperforming the Atari Human Benchmark ↗arXiv:2003.13350 · no summary yetAdrià Puigdomènech Badia et al.2020 · 235 citations
8. Bayesian Recurrent Neural Networks ↗arXiv (Cornell University) · no summary yetMeire Fortunato, Charles Blundell, Oriol Vinyals2017 · 146 citations
9. Neural Episodic Control ↗arXiv:1703.01988 · no summary yetAlexander Pritzel et al.2017 · 91 citations
10. PonderNet: Learning to Ponder ↗arXiv:2107.05407 · no summary yetAndrea Banino, Jan Balaguer, Charles Blundell2021 · 59 citations
11. Memory-based Parameter Adaptation ↗arXiv (Cornell University) · no summary yetPablo Sprechmann et al.2018 · 42 citations
12. Pointer Graph Networks ↗arXiv:2006.06380 · no summary yetPetar Veličković et al.2020 · 25 citations
13. Revisiting Bayes by Backprop ↗no summary yetMeire Fortunato, Charles Blundell, Oriol Vinyals2018 · 1 citation

🤝 Co-authors here

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

• Alexander Pritzel ×2
• Daan Wierstra ×2
• Chrisantha Fernando
• David Ha
• Dylan Banarse
• Koray Kavukcuoglu
• Oriol Vinyals
• 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 →.

Updated 2 November 2026

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