Ivan Oseledets (Russian: Оселедец Иван Валерьевич; born July 6, 1983) is a Russian computer scientist and mathematician and professor at the Skolkovo Institute of Science and Technology. He is best known for the tensor train decomposition, which is more commonly called a matrix product state in the area of tensor networks. Oseledets joined the Skolkovo Institute of Science and Technology in 2013 and currently serves as the director of the centre for artificial intelligence technology.
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| - Ivan Oseledets (en)
- Оселедец, Иван Валерьевич (ru)
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| - Ivan Oseledets (Russian: Оселедец Иван Валерьевич; born July 6, 1983) is a Russian computer scientist and mathematician and professor at the Skolkovo Institute of Science and Technology. He is best known for the tensor train decomposition, which is more commonly called a matrix product state in the area of tensor networks. Oseledets joined the Skolkovo Institute of Science and Technology in 2013 and currently serves as the director of the centre for artificial intelligence technology. (en)
- Ива́н Вале́рьевич Оселе́дец (род. 6 июля 1983, Москва, СССР) — российский учёный, доктор физико-математических наук, лауреат Премии президента РФ в области науки и инноваций для молодых учёных. Премия была присуждена за создание прорывных вычислительных технологий решения многомерных задач физики, химии, биологии, анализа данных на основе тензорных разложений. Профессор РАН (2022). (ru)
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| - Ivan Oseledets (Russian: Оселедец Иван Валерьевич; born July 6, 1983) is a Russian computer scientist and mathematician and professor at the Skolkovo Institute of Science and Technology. He is best known for the tensor train decomposition, which is more commonly called a matrix product state in the area of tensor networks. Oseledets joined the Skolkovo Institute of Science and Technology in 2013 and currently serves as the director of the centre for artificial intelligence technology. (en)
- Ива́н Вале́рьевич Оселе́дец (род. 6 июля 1983, Москва, СССР) — российский учёный, доктор физико-математических наук, лауреат Премии президента РФ в области науки и инноваций для молодых учёных. Премия была присуждена за создание прорывных вычислительных технологий решения многомерных задач физики, химии, биологии, анализа данных на основе тензорных разложений. Профессор РАН (2022). (ru)
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