Skoltech is an international graduate research-focused university that was founded by the group of world-renowned scientists in 2011. Skoltech's curriculum focuses on technology and innovation, offering Master's programs in 11 technological disciplines. Students receive rigorous theoretical and practical training, design their own research projects, participate in internships and gain entrepreneurial skills in English. The faculty is comprised of current researchers with international accreditation and achievements.

Colloquium: “Physics Informed Machine Learning”


We are pleased to invite you to a Skoltech Colloquium in collaboration with Energy Colloquium: “Physics Informed Machine Learning”.

Speaker: Michael Chertkov, Adjunct Professor at Center for Energy Systems, Skolkovo Institute of Science and Technology

michaelchertkovAbstract: Machine Learning (statistical engineering) capabilities are in a phase of tremendous growth. Underlying these advances is a strong and deep connection to various aspects of statistical physics. There is also a great opportunity in pointing these tools toward physical modeling. In this colloquium I illustrate the two-way flow of ideas between physics and statistical engineering on three examples. First, I review the work on structure learning and statistical estimation in power system distribution (thus physical) networks. Then I describe recent progress in constructive understanding of graph learning (on example of inverse Ising model) illustrating that the generic inverse task (of learning) is computationally easy in spite of the fact that the direct problem (inference or sampling) is difficult. I conclude speculating how macro-scale models of physics (e.g. large eddy simulations of turbulence) can be learned from micro-scale simulations (e.g. of Navier-Stocks equations).

We are looking forward to seeing you! In the meantime we invite you to check the schedule of the next colloquia.

For further information or questions, please e-mail Ekaterina Kuzmina at

If you like to participate and for further information or questions, please Liliya Abaimova
We look forward to seeing you.

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