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- Quantitative research & machine learning
  We find patterns in noisy, real-world datasets to predict movement in global financial markets – blending mathematical precision with state-of-the-art machine learning. Learn more
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  We design and maintain the robust infrastructure and high-performance platforms that transform bold research into real-world results. Learn more
- Technology Innovation Group
  We scout, test and integrate the latest technologies — ensuring our teams stay at the forefront of what’s possible. Learn more
- Open-source software
  We partner with and contribute to the open-source community, building world-class tools that benefit our research and the wider world. Learn more
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NeurIPS 2025: Research Paper Reviews

Staying at the forefront of innovation is essential for the success of our quantitative researchers and machine learning engineers. That’s why our team attended NeurIPS 2025, where they immersed themselves in the latest breakthroughs and ideas shaping machine learning.

Our researchers have compiled reviews of the papers they found most intriguing and innovative. Explore them now.

More paper reviews

More paper reviews

Latest News

02 Jun 2026

ICLR 2026: Paper reviews

27 May 2026

Meet the NextGen scholars: Matt

26 May 2026

G-Research supports young mathematicians at King’s College London Mathematics School

Latest Events

Machine learning
Quantitative research

PyData 2026

05 Jun 2026 - 07 Jun 2026 Convene Sancroft, Rose Street, London

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Quantitative engineering
Quantitative research

ACCU On Sea 2026

17 Jun 2026 - 19 Jun 2026 Leas Cliff Hall, Folkestone

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Quantitative research

13th Bachelier World Congress

29 Jun 2026 - 03 Jul 2026 University of Bologna, Belmeloro District, Italy

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