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Regular version of the site

Selected Publications of the Faculty

2019 

Multi-agent pathfinding with continuous time 
Andreychuk A., Yakovlev K., Atzmon D., Sternr R. 
International Joint Conference on Artificial Intelligence  (IJCAI 2019), 39-42

Learning to route in similarity graphs
Baranchuk D., Persiyanov D., Sinitsin A., Babenko A.    
International Conference on Machine Learning (ICML 2019), 748-757

On a Chatbot Conducting Virtual Dialogues
Galitsky B., Ilvovsky D.
ACM International Conference on Information and Knowledge Management (CIKM 2019), 2925-2928

Sequence modeling with unconstrained generation order
Emelianenko D., Voita E., Serdyukov P.
Advances in Neural Information Processing Systems  (NeurIPS 2019), 7698-7709

Subspace inference for Bayesian deep learning  
Izmailov P., Maddox W., Kirichenko P., Garipov T., Vetrov D., Wilson A.   
Conference on Uncertainty in Artificial Intelligence (UAI 2019):435

On the compositionality prediction of noun phrases using Poincaré embeddings 
Jana A., Puzyrev D. et al.  
Annual Meeting of the  Association for Computational Linguistics  (ACL 2019), 3263-3274

Fast Depth Map Super-Resolution Using Deep Neural Network 
Korinevskaya A., Makarov I. 
IEEE/ACM International Symposium on Mixed and Augmented Reality (ISMAR 2019), 117-122

On the complexity of approximating wasserstein barycenters 
Kroshnin A., Dvinskikh D., Dvurechensky P., Gasnikov A. et al. 
International Conference on Machine Learning (ICML 2019), 6176-6208

A prior of a googol gaussians: a tensor ring induced prior for generative models
Kuznetsov M., Vetrov D.  et al.
Advances in Neural Information Processing Systems (NeurIPS 2019), 4104-4114

The logic of action lattices is undecidable   
Kuznetsov S.    
Symposium on Logic in Computer Science (LICS 2019)

A simple baseline for bayesian uncertainty in deep learning
Maddox W., Vetrov D. et al.
Advances in Neural Information Processing Systems  (NeurIPS 2019), 13132-13143

On reproducing semi-dense depth map reconstruction using deep convolutional neural networks with perceptual loss  
Makarov I., Maslov D., Gerasimova O., Aliev V., Korinevskaya A. et al.  
ACM International Conference on Multimedia (MM 2019), 1080-1084

Numerical pattern mining through compression  
Makhalova T., Kuznetsov S., Napoli A.  
Data Compression Conference (DCC 2019), 112-121

Beyond vector spaces: compact data representation as differentiable weighted graphs
Mazur D., Babenko A. et al.
Advances in Neural Information Processing Systems  (NeurIPS 2019), 6903-6913

Doubly Semi-Implicit Variational Inference
Molchanov D., Kharitonov V., Sobolev A., Vetrov D.
International Conference on Artificial Intelligence and Statistics (AISTATS 2019), 2593-2602

Unsupervised neural quantization for compressed-domain similarity search     
Morozov S., Babenko A.   
IEEE/CVF International Conference on Computer Vision (ICCV 2019), 3036-3045

The implicit Metropolis-Hastings algorithm
Neklyudov D., Egorov E., Vetrov D.
Advances in Neural Information Processing Systems  (NeurIPS 2019), 13932-13942

Discovering Fair Representations in the Data Domain
Quadrianto N., Sharmanska V., Thomas O.
AIEEE Conference on Computer Vision and Pattern Recognitio (CVPR 2019), 8219-8228

ChronoSDB in action: Manage, process, and visualize big geospatial arrays in the cloud 
Rodriges Zalipynis R.A.  
International Conference on Management of Data (SIGMOD 2019), 1985-1988

Importance weighted hierarchical variational inference
Sobolev A., Vetrov D.
Advances in Neural Information Processing Systems (NeurIPS 2019), 601-613

Learning to select for a predefined ranking
Ustimenko A., Vorobev A., Gusev G., Serdyukov P. 
International Conference on Machine Learning (ICML 2019), 11270-11279


Observation of CP violation in charm decays* 
Aaij R., Derkach D., Kazeev N., Ratnikov F., Ustyuzhanin A. et al. (The LHCb collaboration)  
Physical Review Letters 122:211803

*and 42 other publications prepared within the framework of CERN collaborations

Multidimensional frontier visualization based on optimization methods using parallel computations
Afanasiev A., Krivonozhko V., Lychev A.,  Sukhoroslov O.  
Journal of Global Optimization 76, 563-574

Convergence rates for empirical barycenters in metric spaces: curvature, convexity and extendable geodesics 
Ahidar-Coutrix A., Le Gouic T.Paris Q.   
Probability Theory and Related Fields 177, 323-368

Commutative algebraic monoid structures on affine spaces 
Arzhantsev I., Bragin S., Zaitseva Y. 
Communications in Contemporary Mathematics. In press

Infinite transitivity, finite generation, and Demazure roots  
Arzhantsev I., Kuyumzhiyan K., Zaidenberg M.  
Advances in Mathematics 351, 1-32

Branching rules related to spherical actions on flag varieties  
Avdeev R., Petukhov A.  
Algebras and Representation Theory 23, 541-581

Unconstrained and curvature-constrained shortest-path distances and their approximation
Arias-Castro E., Le Gouic T.  
Discrete and Computational Geometry 62, 1-28

A mean value result for a product of GL(2) and GL(3) L -functions
Balkanova O., Frolenkov D.
Mathematika 65, 743-762

Prime geodesic theorem in the 3-dimensional hyperbolic space
Balkanova O., Chatzakos D., Cherubini G.,    Frolenkov D. et al. 
Transactions of the American Mathematical Society 372, 5355-5374

Sums of Kloosterman sums in the prime geodesic theorem
Balkanova O., Frolenkov D. 
Quarterly Journal of Mathematics 70, 649-674

Nonparametric Bayesian inference for Gamma-type Lévy subordinators
Belomestny D.    et al.   
Communications in Mathematical Science 17, 781-816

Minimax theorems for American options without time-consistency  
Belomestny D.  et al.  
Finance and Stochastics 23, 209-238

Low-frequency estimation of continuous-time moving average Lévy processes  
Belomestny D., Panov V., Woerner J.  
Bernoulli 25, 902-931

Sparse covariance matrix estimation in high-dimensional deconvolution
Belomestny D., Trabs M., Tsybakov A.  
Bernoulli 25, 1901-1938

Non-uniform bounds in the Poisson approximation with applications to informational distances I   
Bobkov S., Chistyakov G., Götze F. 
IEEE Transactions on Information Theory 65, 5283-5293

Higher order concentration of measure  
Bobkov S., Götze F., Sambale H.  
Communications in Contemporary Mathematics 21:1850043

Khinchine's theorem and Edgeworth approximations for weighted sums
Bobkov S.  
Annals of Statistics 47, 1616-1633

Machine Learning on data with sPlot background subtraction 
Borisyak M., Kazeev N.   
Journal of Instrumentation 14:P08020

Sprague-Grundy function of matroids and related hypergraphs
Boros E., Gurvich V., Bao Ho N. et al. 
Theoretical Computer Science 799, 40-59

Sprague-Grundy function of symmetric hypergraphs
Boros E., Gurvich V.  
Journal of Combinatorial Theory, Series A 165, 176-186

Separable discrete functions: Recognition and sufficient conditions  
Boros E., Cepek O., Gurvich V.  
Discrete Mathematics 342, 1275-1292

Gene expression across mammalian organ development
Cardoso-Moreira, M.,  Mazin P.   et al. 
Nature 571, 505-509

Tissue-specific impact of stem-loops and quadruplexes on cancer breakpoints formation  
Cheloshkina K., Poptsova M.  
BMC Cancer 19:434

Ultra-performance liquid chromatography-mass spectrometry for precise fatty acid profiling of oilseed crops  
Chernova A., Mazin P. et al.  
PeerJ 7  :e6547

LINC00116 codes for a mitochondrial peptide linking respiration and lipid metabolism
Chugunova A., Mazin P. et al.  
Proceedings of the National Academy of Sciences of the United States of America 116, 4940-4945

Bias in false discovery rate estimation in mass-spectrometry-based peptide identification  
Danilova Y., Voronkova A., Sulimov P., Kertesz-Farkas A.  
Journal of Proteome Research 18, 2354-2358

Core clustering as a tool for tackling noise in cluster labels  
de Amorim R., Makarenkov V., Mirkin B.  
Journal of Classification 37, 143-157

On the structure of Ammann A2 tilings  
Durand B., Shen A., Vereshchagin N.  
Discrete and Computational Geometry 63, 577-606

Adaptive nonparametric clustering
Efimov K., Adamyan L., Spokoiny V. 
IEEE Transactions on Information Theory 65,4875-4892

Predictive models of protease specificity based on quantitative protease-activity profiling data
Fedonin G., Gelfand M.
Biochimica et Biophysica Acta - Proteins and Proteomics  1867:140253

On multistochastic Monge–Kantorovich problem, bitwise operations, and fractals  
Gladkov N., Kolesnikov A., Zimin A.   
Calculus of Variations and Partial Differential Equations 58:173

Large ball probabilities, Gaussian comparison and anti-concentration 
G ötze F., Naumov A., Spokoiny V., Ulyanov V.  
Bernoulli 25, 2538-2563

Local semicircle law under fourth moment condition  
Götze F., Naumov A., Tikhomirov A.  
Journal of Theoretical Probability 33, 1327-1362

Compression of recurrent neural networks for efficient language modeling  
Grachev A., Ignatov D., Savchenko A.  
Applied Soft Computing Journal 79, 354-362

Accelerated regularized Newton methods for minimizing composite convex functions  
Grapiglia G., Nesterov Y.  
SIAM Journal on Optimization 29, 77-99

Tropical Combinatorial Nullstellensatz and sparse polynomials   
Grigoriev D., Podolskii V.   
Foundations of Computational Mathematics 20, 753-781

Reduced vs. standard dose native E. coli-asparaginase therapy in childhood acute lymphoblastic leukemia: long-term results of the randomized trial Moscow–Berlin 2002
Karachunskiy A., Korepanova N., Kuznetsov S.  
Journal of Cancer Research and Clinical Oncology 145, 1001-1012

Discovering high-level BPMN process models from event data
Kalenkova A., Burattin A. et al.
Business Process Management Journal 25, 995-1019

Axiomatization of provable n-provability
Kolmakov E.,  Beklemishev L. 
Journal of Symbolic Logic 84, 849-869

Survival forests under test: Impact of the proportional hazards assumption on prognostic and predictive forests for amyotrophic lateral sclerosis survival
Korepanova N. , Seibold H., Steffen V., Hothorn T. 
Statistical Methods in Medical Research 29, 1403-1419

On fractional regularity of distributions of functions in Gaussian random variables
Kosov E. 
Fractional Calculus and Applied Analysis 22, No.5, 1249-1268 

Panchromatic 3-colorings of random hypergraphs  
Kravstov D., Krokhmal N., Shabanov D.  
European Journal of Combinatorics 78, 28-43

Analysis of neuronal ensemble activity reveals the pitfalls and shortcomings of rotation dynamics
Lebedev M., Ossadtchi A. et al. 
Scientific Reports 9:18978

Dual network embedding for representing research interests in the link prediction problem on co-authorship networks
Makarov I., Gerasimova O., Sulimov P., Zhukov L.  
PeerJ Computer Science 5:e172

Commuting homogeneous locally nilpotent derivations 
Matveev D. 
Sbornik Mathematics 210, 1609-1632

Free products of groups are strongly verbally closed 
Mazhuga A. 
Sbornik Mathematics 210, 1456-1492

Distance and consensus for preference relations corresponding to ordered partitions  
Mirkin B., Fenner T.  
Journal of Classification 36, 350-367

Rescattering photoelectron spectroscopy of the CO2 molecule: Progress towards experimental discrimination between theoretical target-structure models 
Okunishi M., Dnestryan Aet al. 
Physical Review A 100:053404

How to make the Perron eigenvector simple  
Protasov V.  
Calcolo 56:17

Low-rank Riemannian eigensolver for high-dimensional Hamiltonians 
Rakhuba M., Novikov A., Oseledets I. 
Journal of Computational Physics 396, 718-737

Main effects and interactions in mixed and incomplete data frames
Robin G., Moulines E. et al. 
Journal of the American Statistical Association 115, 1292-1303

Effective consistency management for large-scale product data
Semenov V., Ilyin D., Morozov S., et al.
Journal of Industrial Information Integration 13, 13-21

Valence influence in electoral competition with rank objectives
Shapoval A., Weber S., Zakharov A.
International Journal of Game Theory 48, 1713-753

Recognition of 3′-end L1, Alu, processed pseudogenes, and mRNA stem-loops in the human genome using sequence-based and structure-based machine-learning models  
Shein A., Zaikin A., Poptsova M.  
Scientific Reports 9:7211

Micro-evolution of three Streptococcus species: selection, antigenic variation, and horizontal gene inflow  
Shelyakin P., Bochkareva O., Karan A., Gelfand M.  
BMC Evolutionary Biology 19:83

Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction 
Sigalova O., Gelfand M. et al. 
BMC Genomics, 20:710

Bootstrap tuning in Gaussian ordered model selection
Spokoiny V., Willrich, N.  
Annals of Statistics 47, 1351-1380

Comparative genomic analysis of the regulation of aromatic metabolism in Betaproteobacteria  
Suvorova I., Gelfand M.  
Frontiers in Microbiology 10:642

Nuclear lamina integrity is required for proper spatial organization of chromatin in Drosophila  
Ulianov S., Gelfand M. et al.  
Nature Communications 10:1176

Decoding Movement From Electrocorticographic Activity: A Review 
Volkova K., Lebedev M., Kaplan A., Ossadtchi A. 
Frontiers in Neuroinformatics 13:74

Peptogrid—rescoring function for autodock vina to identify new bioactive molecules from short peptide libraries  
Zalevsky A., Golovin A.  et al.  
Molecules 24:277

Publications 2020

Publications 2018

Publications 2017

Publications 2016

Publications 2015

Fast Depth Map Super-Resolution Using Deep Neural Network