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Regular version of the site

International Laboratory of Deep Learning and Bayesian Methods

Publications
Article
Structured Bayesian Pruning via Log-Normal Multiplicative Noise In print

Neklyudov K., Molchanov D., Ashukha A. et al.

Advances in Neural Information Processing Systems 30 (NIPS 2017). 2017.

Working paper
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition

Izmailov P., Novikov A., Kroptov D.

math. arxive. Cornell University, 2017

About the Laboratory

International Laboratory of Deep Learning and Bayesian Methods is established on the basis of Bayesian Methods Research Group. The group is one of the strongest scientific groups in Russia in the area of machine learning and probabilistic modeling. The laboratory researches the neurobayesian models that combine the advantages of the two most successful machine learning approaches, namely neural networks and Bayesian methods.


A new grant by Russian Science Foundation

A group of 8 researchers including 5 laboratory's staff members received a large grant by Russian Science Foundation. The grant has been received in collaboration with the Laboratory of Computer Graphics and Multimedia (MSU) and Bayesian Methods research group.

Variational dropout sparsifies DNNs paper has been accepted to ICML'17

The paper authored by laboratory's research assistants Dmitry Molchanov and Arsenii Ashukha and head Dmitry Vetrov has been accepted to the International Conference on Machine Learning'2017. In this research a state-of-the-art result in deep neural networks sparsification was achieved using Bayesian framework applied to deep learning.

Collaboration with Samsung Opens New Perspectives for the Laboratory and the Faculty

Dmitry Vetrov, head of the laboratory, held a meeting with Mr. Shi-Hwa Lee, a Vice-President of Samsung, a company the laboratory collaborates with. Interim research results, internship possibilities and collaboration perspectives were discussed.

Around 300 applications are submitted to Bayesian Methods in Deep Learning Summer School

Application to Bayesian Methods in Deep Learning Summer School is now closed. There are 297 applications from citizens of Russia, Ukraine, Belarus, Great Britain, Spain, France, Switzerland, Germany, the USA and Ireland.The school will be held in Moscow in August, 2017.

The laboratory signed a contract with Samsung

The laboratory signed a contract with international company Samsung about research in the area of deep learning. Samsung's senior engineer Kim KyoungHoon will consult our staff, and the laboratory is going to hire new employyes to work on the project.