基本信息
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Bio
Research Scientist at DeepMind
所做项目:
Portfolio Selection System
2013年3月 – 2014年5月
项目说明I was engaged in research on time series prediction based on the features of integrated time series. My duties included design and implementation (R & Java) and testing of the forecasting methods. The key idea employed was modelling multivariate distribution with Kernel Density Estimators and taking conditional expected value as a predictor.
The role of the small-scale inhomogenities in general relativity and cosmology
项目说明Responsibility for development of the software that numerically solves differential equations of General Relativity Theory, that are relevant to the universe models investigated by the leader of the project. Implementation in C++ in object-oriented design.
Research Interests
Papers共 15 篇Author StatisticsCo-AuthorSimilar Experts
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NeurIPS 2022 (2022)
WANLP@EMNLPpp.76-84, (2022)
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International Conference on Learning Representations (ICLR) (2022)
Skanda Koppula,Victor Bapst,Marc Huertas-Company,Sam Blackwell,Agnieszka Grabska-Barwinska,Sander Dieleman, Andrea Huber,Natasha Antropova,Mikolaj Binkowski, Hannah Openshaw,Adria Recasens,Fernando Caro,
arXiv (Cornell University) (2021)
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Signals and communication technology (2021)
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2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019)no. 1 (2019): 1844-1853
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