"Automatic Construction of a Recurrent Neural Network based Classifier for Vehicle Passage Detection". Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 1034103, pp. 1-6
doi: 10.1117/12.2268706 Go to publication
Panov M. “Nonasymptotic approach to Bayesian semiparametric inference” // Doklady
Mathematics, Volume 93, Number 2, 2016, pp. 155-158. Go to publication
Evgeny Burnaev, Maxim Panov "Adaptive Design of Experiments Based on Gaussian Processes". Statistical Learning and Data Sciences
Volume 9047 of the series Lecture Notes in Computer Science pp. 116-125. Go to publication
Maxim Panov, Vladimir Spokoiny, “Finite Sample Bernstein–von Mises Theorem for Semiparametric Problems”, Bayesian Analysis, 10:3 (2015), 665–710. Go to publication
Maxim E. Panov , Vladimir G. Spokoiny "Critical dimension in the semiparametric Bernstein—von Mises theorem". Proceedings of the Steklov Institute of Mathematics
December 2014, Volume 287, Issue 1, pp 232-255. Go to publication
Properties of posterior distribution of parameters for Gaussian Processes Regression. Proceedings of the Conference on Structural Inference in Statistics, Potsdam, Germany, September 17-19. 2013. P. 27-28.
Surrogate Models for Helicopter Loads. Proceedings of the 5th European Conference for Aeronautics and Space Sciences. Germany, Munich, 1-4 July. 2013. 9 P.
Surrogate Modeling of Stability Constraints for Optimization of Composite Structures. Surrogate-Based Modeling and Optimization. Engineering applications. Eds. by S. Koziel, L. Leifsson. Springer, 2013. P. 359-391.
Approximation of a Multidimensional Dependency based on a Linear Expansion in a Dictionary of Parametric Functions. Informatics and its applications. 2013. Vol. 7. No. 3. P. 114–125.
