Clare Lyle

1.4k total citations
9 papers, 32 citations indexed

About

Clare Lyle is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Clare Lyle has authored 9 papers receiving a total of 32 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Clare Lyle's work include Domain Adaptation and Few-Shot Learning (2 papers), Reinforcement Learning in Robotics (2 papers) and Neural dynamics and brain function (1 paper). Clare Lyle is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Reinforcement Learning in Robotics (2 papers) and Neural dynamics and brain function (1 paper). Clare Lyle collaborates with scholars based in United Kingdom, Canada and United States. Clare Lyle's co-authors include Pablo Samuel Castro, Marc G. Bellemare, Yarin Gal, Joëlle Pineau, Doina Precup, Robert Dadashi, Shagun Sodhani, Marta Kwiatkowska, Nicolas Le Roux and Will Dabney and has published in prestigious journals such as Nature, Neural Information Processing Systems and International Conference on Learning Representations.

In The Last Decade

Clare Lyle

7 papers receiving 28 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Clare Lyle United Kingdom	4	24	5	5	4	4	9	32
Afroz Mohiuddin United States	3	26 1.1×	3 0.6×	7 1.4×	6 1.5×	3 0.8×	3	35
Simon Bartels Denmark	2	24 1.0×	3 0.6×	9 1.8×	6 1.5×	7 1.8×	4	48
Marcell Vazquez-Chanlatte United States	3	18 0.8×	4 0.8×	2 0.4×	3 0.8×	7 1.8×	5	21
Piotr Stańczyk Poland	3	31 1.3×	6 1.2×	3 0.6×		2 0.5×	7	43
Seyed Kamyar Seyed Ghasemipour Canada	4	23 1.0×	6 1.2×	7 1.4×	1 0.3×	2 0.5×	4	29
W. A. T. Wan Abdullah Malaysia	2	22 0.9×	3 0.6×	5 1.0×		4 1.0×	3	35
Hengyuan Hu United States	4	29 1.2×	4 0.8×	8 1.6×		3 0.8×	6	37
Noah Fiedel	2	29 1.2×	5 1.0×	11 2.2×	2 0.5×	1 0.3×	2	52
Ryo Kikuchi Japan	5	31 1.3×	3 0.6×	3 0.6×		7 1.8×	10	38
Charline Le Lan United Kingdom	4	20 0.8×	2 0.4×	11 2.2×	2 0.5×	3 0.8×	5	32

Countries citing papers authored by Clare Lyle

Since Specialization

Citations

This map shows the geographic impact of Clare Lyle's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Clare Lyle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clare Lyle more than expected).

Fields of papers citing papers by Clare Lyle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clare Lyle. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Clare Lyle. The network helps show where Clare Lyle may publish in the future.

Co-authorship network of co-authors of Clare Lyle

This figure shows the co-authorship network connecting the top 25 collaborators of Clare Lyle. A scholar is included among the top collaborators of Clare Lyle based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Clare Lyle. Clare Lyle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Lyle, Clare & Razvan Pascanu. (2024). Switching between tasks can cause AI to lose the ability to learn. Nature. 632(8026). 745–747.

2.

Lyle, Clare, et al.. (2021). Speedy Performance Estimation for Neural Architecture Search. Neural Information Processing Systems. 34. 2 indexed citations

3.

Lyle, Clare, Amy Zhang, Minqi Jiang, Joëlle Pineau, & Yarin Gal. (2021). Resolving Causal Confusion in Reinforcement Learning via Robust Exploration. International Conference on Learning Representations. 1 indexed citations

4.

Kirsch, Andreas, Clare Lyle, & Yarin Gal. (2021). Unpacking Information Bottlenecks: Surrogate Objectives for Deep Learning. 1 indexed citations

5.

Lyle, Clare, et al.. (2021). Provable Guarantees on the Robustness of Decision Rules to Causal Interventions. 4258–4265.

6.

Lyle, Clare, et al.. (2020). A Bayesian Perspective on Training Speed and Model Selection. Neural Information Processing Systems. 33. 10396–10408. 3 indexed citations

7.

Lyle, Clare, Amy Zhang, Angelos Filos, et al.. (2020). Invariant Causal Prediction for Block MDPs. 1. 11214–11224. 4 indexed citations

8.

Bellemare, Marc G., Will Dabney, Robert Dadashi, et al.. (2019). A Geometric Perspective on Optimal Representations for Reinforcement Learning. Neural Information Processing Systems. 32. 4358–4369. 8 indexed citations

9.

Lyle, Clare, Marc G. Bellemare, & Pablo Samuel Castro. (2019). A Comparative Analysis of Expected and Distributional Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 4504–4511. 13 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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