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NeurIPS 2022: Paper review #5
  • 25 Jan 2023

Our NeurIPS 2022 paper review series gives you the opportunity to hear about the research and papers that our quants and ML engineers found most interesting from the conference. Here, a Quantitative Researcher at G-Research, discusses two papers from NeurIPS which both focus on data pruning.

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NeurIPS 2022: Paper review #6
  • 25 Jan 2023

Our NeurIPS 2022 paper review series gives you the opportunity to hear about the research and papers that our quants and ML engineers found most interesting from the conference. Here, a Quantitative Researcher at G-Research, discusses two papers from NeurIPS.

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NeurIPS 2022: Paper review #7
  • 25 Jan 2023

Our NeurIPS 2022 paper review series gives you the opportunity to hear about the research and papers that our quants and ML engineers found most interesting from the conference. Here, a Senior Quantitative Researcher at G-Research, discusses two papers from NeurIPS:

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NeurIPS 2022: Paper review #8
  • 25 Jan 2023

Our NeurIPS 2022 paper review series gives you the opportunity to hear about the research and papers that our quants and ML engineers found most interesting from the conference. Here, one of our Quantitative Researchers discusses two papers from NeurIPS:

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NeurIPS 2022: Paper review #2
  • 25 Jan 2023

Our NeurIPS 2022 paper review series gives you the opportunity to hear about the research and papers that our quants and ML engineers found most interesting from the conference. Here a senior Quantitative Researcher at G-Research, discusses two papers from NeurIPS.

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NeurIPS 2022: Paper review #3
  • 25 Jan 2023

Our NeurIPS 2022 paper review series gives you the opportunity to hear about the research and papers that our quants and ML engineers found most interesting from the conference. Here, a Machine Learning Engineer at G-Research, discusses two papers from NeurIPS.

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NeurIPS 2022: Paper review #1
  • 25 Jan 2023

Our NeurIPS 2022 paper review series gives you the opportunity to hear about the research and papers that our quants and ML engineers found most interesting from the conference. Here, a Quantitative Researcher at G-Research, discusses two papers from NeurIPS.

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An interview with Kevin Buzzard
  • Quantitative Research
  • 18 Jan 2023

Kevin Buzzard is a British mathematician and professor of Pure Mathematics at Imperial College London. As part of the G-Research Distinguished Speaker Series, Kevin Buzzard was one of three speakers at the 2022 Computer Guided Mathematics Symposium.

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An interview with Sir Timothy Gowers
  • Quantitative Research
  • 11 Jan 2023
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G-Research November 2022 grant winners
  • 20 Dec 2022

Each month, we provide up to £2,000 in grant money to early career researchers in quantitative disciplines. Our aim is to support and assist PhD students and postdocs conducting research, particularly with costs that may be difficult to get funding for elsewhere, for example, travel for those who are caring for children, or expenses for […]

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