Maxim Panov
Maxim Panov
Подтвержден адрес электронной почты в домене skoltech.ru
НазваниеПроцитированоГод
Adaptive design of experiments based on gaussian processes
E Burnaev, M Panov
International Symposium on Statistical Learning and Data Sciences, 116-125, 2015
242015
Finite sample Bernstein–von Mises theorem for semiparametric problems
M Panov, V Spokoiny
Bayesian Analysis 10 (3), 665-710, 2015
232015
GTApprox: Surrogate modeling for industrial design
M Belyaev, E Burnaev, E Kapushev, M Panov, P Prikhodko, D Vetrov, ...
Advances in Engineering Software 102, 29-39, 2016
222016
Regression on the basis of nonstationary Gaussian processes with Bayesian regularization
EV Burnaev, ME Panov, AA Zaytsev
Journal of Communications Technology and Electronics 61 (6), 661-671, 2016
212016
Automatic Bitcoin Address Clustering
D Ermilov, M Panov, Y Yanovich
142017
Critical dimension in the semiparametric Bernstein-von Mises theorem
ME Panov, VG Spokoiny
Trudy Matematicheskogo Instituta im. VA Steklova 287, 242-266, 2014
82014
Modeling of nonstationary covariance function of gaussian process using decomposition in dictionary of nonlinear functions
E Burnaev, A Zaytsev, M Panov, P Prihodko, Y Yanovich
Information Technologies and Systems–2011, 2-7, 2011
82011
Consistent Estimation of Mixed Memberships with Successive Projections
M Panov, K Slavnov, R Ushakov
International Workshop on Complex Networks and their Applications, 53-64, 2017
4*2017
Nonasymptotic approach to Bayesian semiparametric inference
ME Panov
Doklady Mathematics 93 (2), 155-158, 2016
32016
Dropout-Based Active Learning for Regression
E Tsymbalov, M Panov, A Shapeev
International Conference on Analysis of Images, Social Networks and Texts …, 2018
22018
Sparse Group Inductive Matrix Completion
I Nazarov, B Shirokikh, M Burkina, G Fedonin, M Panov
arXiv preprint arXiv:1804.10653, 2018
22018
A modified neutral point method for kernel-based fusion of pattern-recognition modalities with incomplete data sets
M Panov, A Tatarchuk, V Mottl, D Windridge
International Workshop on Multiple Classifier Systems, 126-136, 2011
22011
Об оценивании точности суррогатных моделей
ЕВ Бурнаев, МЕ Панов
МФТИ, 2010
22010
О семипараметрическом оценивании в байесовской постановке
МЕ Панов, ВГ Спокойный
ББК 22.1 Т78, 104, 0
2
Сравнительный анализ процедур оптимизации на основе гауссовских процессов
Е Бурнаев, М Панов, Д Кононенко, И Коноваленко
2
Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension
M Gomtsyan, N Mokrov, M Panov, Y Yanovich
arXiv preprint arXiv:1904.06151, 2019
2019
Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning
E Tsymbalov, S Makarychev, A Shapeev, M Panov
arXiv preprint arXiv:1902.10350, 2019
2019
Constructing Graph Node Embeddings via Discrimination of Similarity Distributions
M Panov, S Tsepa
2018 IEEE International Conference on Data Mining Workshops (ICDMW), 1050-1053, 2018
2018
Simultaneous Matrix Diagonalization for Structural Brain Networks Classification
N Mokrov, M Panov, BA Gutman, JI Faskowitz, N Jahanshad, ...
International Conference on Complex Networks and their Applications, 1261-1270, 2017
2017
STRUCTURAL NODE EMBEDDINGS IN GRAPHS VIA ANONYMOUS WALKS
A De la Fuente, M Panov
В данный момент система не может выполнить эту операцию. Повторите попытку позднее.
Статьи 1–20