LARSS (Laboratory of applied research for structured data statistics) works on the application of digital technologies in Industry and the development of Machine Learning algorithms. Nowadays data science is in between industry and academia, as the first one owns the data, and the second one possesses fundamental knowledge on how the world works. Our hope is that principled methods in Machine learning will push forward solutions in both theoretical and practical branches of machine learning.​

The scope of our work in the field of machine learning is broad. In particular, we work in the fields of

  • Anomaly detection and change point detection
  • Event sequences models
  • Representation learning for sequences
  • Bayesian optimization
  • Adversarial attacks for complex data
  • Validation of machine learning models

Also, our laboratory helps to push forward joint projects of Skoltech and Sberbank, in particular:

  • Professor Maxim Panov conducted a project on the application of graph neural networks to banking problems
  • Professor Gonzalo Ferrer is supervising two Sberbank employees during their PhD studies on the topic of detection of people and interaction with them and navigation in Robotics

To join our lab, please see  http://sites.skoltech.ru/larss/application/

List of our publications can be found at https://sites.skoltech.ru/larss/publications/

Our recent and future events are at page https://sites.skoltech.ru/larss/events/

If you want to discuss other questions including possible partnership, contact me at a.zaytsev at skoltech.ru