Denis Rakitin
- Junior Research Fellow:Faculty of Computer Science / AI and Digital Science Institute / Centre of Deep Learning and Bayesian Methods
- Lecturer, Doctoral Student:Faculty of Computer Science / Big Data and Information Retrieval School
- Denis Rakitin has been at HSE University since 2020.
Young Faculty Support Programme (Group of Young Academic Professionals)
Category "New Researchers" (2022-2023)
Postgraduate Studies
2nd year of study
Approved topic of thesis: Computational Methods for Solving the Schrödinger Bridge Problem
Academic Supervisor: Vetrov, Dmitry
Courses (2023/2024)
- Generative models based on ODE/SDE (Optional course (faculty); Faculty of Computer Science; 2 module)Rus
- Probability Theory (advanced course) (Bachelor’s programme; Faculty of Computer Science; 2 year, 1, 2 module)Rus
- Past Courses
Courses (2022/2023)
- Bayesian Methods for Data Analysis (Master’s programme; Faculty of Computer Science; 2 year, 1 module)Eng
- Bayesian Methods for Machine Learning (Bachelor’s programme; Faculty of Computer Science; 4 year, 1, 2 module)Rus
- Mathematical Statistics (Bachelor’s programme; Faculty of Computer Science; 2 year, 3, 4 module)Rus
- Probability Theory (advanced course) (Bachelor’s programme; Faculty of Computer Science; 2 year, 1, 2 module)Rus
Courses (2021/2022)
Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Computer Science; 2 year, 1-4 module)Rus
Courses (2020/2021)
Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Computer Science; 2 year, 1-4 module)Rus
Publications3
- Chapter Morozov N., Rakitin D., Oleg Desheulin, Dmitry P. Vetrov, Struminsky K. Differentiable Rendering with Reparameterized Volume Sampling, in: Proceedings of The 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024), 2-4 May 2024, Palau de Congressos, Valencia, Spain. PMLR: Volume 238 Vol. 238. Valencia : PMLR, 2024. P. 4852-4860.
- Chapter Morozov N., Rakitin D., Oleg Desheulin, Vetrov D., Struminsky K. Differentiable Rendering with Reparameterized Volume Sampling, in: Neural Fields across Fields: Methods and Applications of Implicit Neural Representations. ICLR 2023 Workshop. , 2023. Ch. 8.
- Chapter Kirill Struminsky, Artyom Gadetsky, Denis Rakitin, Karpushkin D., Dmitry Vetrov. Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, in: Advances in Neural Information Processing Systems 34 (NeurIPS 2021). Curran Associates, Inc., 2021. P. 10999-11011. doi
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.