Max Ryabinin
- Senior Lecturer: Faculty of Computer Science / Big Data and Information Retrieval School / Joint Department with Yandex
- Max Ryabinin has been at HSE University since 2017.
Education
HSE University
HSE University
Courses (2024/2025)
- Efficient Deep Learning Systems (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 4 year, 3 module)Rus
- Past Courses
Courses (2023/2024)
- Efficient Deep Learning Systems (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 4 year, 3 module)Rus
Courses (2022/2023)
- Deep Learning (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 4 year, 1, 2 module)Rus
- Efficient Deep Learning Systems (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 4 year, 3 module)Rus
- Research Seminar "Applied problems of data analysis" (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 2 year, 1 module)Rus
- Research Seminar ''Internet Data Analysis'' (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 2 year, 1, 2 module)Rus
Courses (2021/2022)
- Deep Learning (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 4 year, 1, 2 module)Rus
- Efficient Deep Learning Systems (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 4 year, 3 module)Rus
Courses (2020/2021)
- Deep Learning (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 4 year, 1, 2 module)Rus
- Efficient Deep Learning Systems (Optional course (faculty); Faculty of Computer Science; 4 module)Rus
Dissertation for a Candidate of Sciences degree
- 2023
M. Ryabinin Методы и проблемы децентрализованного глубинного обучения
‘Every Article on NeurIPS Is Considered a Significant Result’
Staff members of the HSE Faculty of Computer Science will present 12 of their works at the 37th Conference and Workshop on Neural Information Processing Systems (NeurIPS), one of the most significant events in the field of artificial intelligence and machine learning. This year it will be held on December 10–16 in New Orleans (USA).
17 Articles by Researchers of HSE Faculty of Computer Science Accepted at NeurIPS
In 2022, 17 articles by the researchers of HSE Faculty of Computer Science were accepted at the NeurIPS (Conference and Workshop on Neural Information Processing Systems), one of the world’s most prestigious events in the field of machine learning and artificial intelligence. The 36th conference will be held in a hybrid format from November 28th to December 9th in New Orleans (USA).
Faculty Submits Ten Papers to NeurIPS 2021
35th Conference on Neural Information Processing Systems (NeurIPS 2021) is one of the world's largest conferences on machine learning and neural networks. It takes place on December 6-14, 2021.
NeurIPS — 2020 Accepts Three Articles from Faculty of Computer Science’s Researchers
34th conference on neural information processing systems NeurIPS 2020 is one of the largest conferences on machine learning in the world, taking place since 1989. It was going to take place in Vancouver, Canada on December 6-12, but takes place online.NeurIPS is as prestigious as ever, with 9,454 articles submitted and 1,300 articles accepted by the conference. Among those accepted are three articles by the researchers of the Faculty of Computer Science: