Our teams
- 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
- Engineering
  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
Students & graduates
- Graduates
- Machine Learning College
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NeurIPS 2024: 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 2024, where they immersed themselves in the latest breakthroughs and ideas shaping machine learning.

G Research banner hangs above a busy conference floor while three people lean over a wooden table overlooking exhibition booths and displays

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

More paper reviews

Latest News

16 Feb 2026

G-Research January 2026 grant winners

30 Jan 2026

NeurIPS paper reviews 2025 #14

30 Jan 2026

NeurIPS paper reviews 2025 #13

Latest Events

Quantitative engineering
Quantitative research

Careers beyond academia: Options and pathways for researchers

26 Mar 2026 Mathematical Institute, Andrew Wiles Building, Oxford

More info

Technology innovation and open-source

KubeCon Europe 2026

25 Mar 2026 Cafe Klassen, Maasstraat 55-HS, 1078 HD Amsterdam

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Platform engineering
Software engineering

NVIDIA GTC 2026 networking event

17 Mar 2026 Alma Tequileria

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