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Факультет готовит разработчиков и исследователей. Программа обучения сформирована с учётом опыта ведущих американских и европейских университетов, таких как Stanford University (США) и EPFL (Швейцария), а также Школы анализа данных — одной из самых сильных магистратур в области computer science в России. Широкий список курсов по выбору и значительная доля программы, выделенная под них, позволит каждому студенту сформировать свою собственную образовательную траекторию. В основе обучения — практика и проектная работа.
Kashin B. S., Kosov E., Limonova I. V. et al.
Journal of Complexity. 2022. Vol. 71.
Kleeva D., Soghoyan G., Komoltsev I. et al.
Journal of Neural Engineering. 2022. Vol. 19. No. 3.
Nesterov R., Bernardinello L., Lomazova I. A. et al.
Software and Systems Modeling. 2022.
Kolpakov A., Talambutsa A.
Proceedings of the American Mathematical Society. 2022. Vol. 150. No. 6. P. 2301-2307.
In bk.: ESEC/FSE 2021: Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. Association for Computing Machinery (ACM), 2021. P. 703-715.
Towards understanding and answering comparative questions
Bondarenko A., Braslavski P. et al.
ACM International Conference on Web Search and Data Mining (WSDM 2022), 66 –74
Improving text generation via neural discourse planning
Chernyavskiy A.
ACM International Conference on Web Search and Data Mining (WSDM 2022), 1543 –1544
Measurement of the W boson mass
Aaij R., Derkach D., Maevskiy A., Karpov M., Ratnikov F., Ryzhikov A., Boldyrev A., Gushchin M., Ustyuzhanin A. et al. (The LHCb collaboration)
Journal of High Energy Physics 2022:36
*and 20 other publications prepared within the framework of CERN collaborations
Graphs with no induced house nor induced hole have the de Bruijn–Erdös property
Aboulker P., Beaudou L. et al.
Journal of Graph Theory 47, 777–780
Cross-domain limitations of neural models on biomedical relation classification
Alimova I., Tutubalina E., Nikolenko S.
IEEE Access 10, 1432–1439
Root subgroups on affine spherical varieties
Arzhantsev I., Avdeev R.
Selecta Mathematica 28:60
Some finiteness results on triangular automorphisms
Arzhantsev I., Shakhmatov K.
Results in Mathematics 77:75
Empirical variance minimization with applications in variance reduction and optimal control
Belomestny D., Iosipoi L., Paris Q., Zhivotovskiy N.
Bernoulli 28, 1382 –1407
Variance reduction for additive functionals of Markov chains via martingale representations
Belomestny D., Moulines E., Samsonov S.
Statistics and Computing 32:16
Resonance scattering in a waveguide with identical thick perforated barriers
Delitsyn A., Grebenkov D.
Applied Mathematics and Computation 412:126592
Oracle Complexity Separation in Convex Optimization
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Frontiers in Physics 10:839383
A differentiable language model adversarial attack on text classifiers
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IEEE Access 10, 17966–17976
A tetrachotomy of ontology-mediated queries with a covering axiom
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Artificial Intelligence 309:103738
Deep Learning for direct Dark Matter search with nuclear emulsions
Golovatiuk A., Ustyuzhanin A. et al.
Computer Physics Communications 275:108312
Pairs of maps preserving singularity on subsets of matrix algebras
Guterman A., Maksaev A., Promyslov V.
Linear Algebra and Its Applications 644, 1 –27
Nucleus segmentation: Towards automated solutions
Hollandi R., Moshkov N. et al.
Trends in Cell Biology 2, 295 –310
Early warning signals for critical transitions in sandpile cellular automata
Ivanova A., Gasnikov A., Tyurin A. et al.
Journal of Optimization Theory and Applications 193, 462–490
Sampling discretization and related problems
Kashin B., Kosov E. et al.
Journal of Complexity 71:101653
Fast parametric curve matching (FPCM) for automatic spike detection
Kleeva D., Ossadtchi A. et al.
Journal of Neural Engineering 19:036003
Blaschke–Santaló inequality for many functions and geodesic barycenters of measures
Kolesnikov A., Werner E.
Advances in Mathematics 396:108110
On free semigroups of affine maps on the real line
Kolpakov A., Talambutsa A.
Proceedings of the American Mathematical Society 150, 2301 –2307
Regularity of linear and polynomial images of Skorohod differentiable measures
Kosov E.
Advances in Mathematics 397:108193
Self-supervised recurrent depth estimation with attention mechanisms
Makarov I., Gerasimova O. et al.
PeerJ Computer Science 8:e865
Temporal network embedding framework with causal anonymous walks representations
Makarov I., Savchenko A., Kiselev D., Mikheev A.
PeerJ Computer Science 8:e858
Introducing the closure structure and the GDPM algorithm for mining and understanding a tabular dataset
Makhalova T., Buzmakov A., Kuznetsov S., Napoli A.
International Journal of Approximate Reasoning 145, 75 –90
Low-rank tensor approximation of singularly perturbed boundary value problems in one dimension
Marcati C., Rakhuba M., Schwab C..
Advances in Computational Mathematics 48:18
Tensor rank bounds for point singularities in R3
Marcati C., Rakhuba M., Ulander J.
Calcolo 59:2
Discovering architecture-aware and sound process models of multi-agent systems: a compositional approach
Nesterov R., Lomazova I. et al.
Software and Systems Modeling. In press
Automatic differentiation for riemannian optimization on low-rank matrix and tensor-train manifolds
Novikov A., Rakhuba M., Oseledets I.
SIAM Journal of Scientific Computing. In press
Structure-adaptive manifold estimation
Puchkin N., Spokoiny V.
Journal of Machine Learning Research 23:40
Exponential Savings in Agnostic Active Learning through Abstention
Puchkin N., Zhivotovskiy N.
IEEE Transactions on Information Theory. In press
Lie brackets of nonsmooth vector fields and commutation of their flows
Rigoni C., Stepanov E., Trevisan D.
Journal of the London Mathematical Society. In press
Electron microscopy analysis of ATP-independent nucleosome unfolding by FACT
Sivkina A., Shaytan A. et al.
Communications Biology 5:2
Stochastic saddle-point optimization for the Wasserstein barycenter problem
Tiapkin D., Gasnikov A., Dvurechensky P.
Optimization Letters. In press
Homing sequence derivation with quantified Boolean satisfiability
Tu K.-H., Yevtushenko N. et al.
IEEE Transactions on Computers 71, 696–711
ADAR1 masks the cancer immunotherapeutic promise of ZBP1-driven necroptosis
Zhang T., Beknazarov N., Poptsova M. et al.
Nature 606, 594–602
Improving continuous-time conflict based search
Andreychuk A., Yakovlev K . et al.
National Conference of the American Association for Artificial Intelligence (AAAI 2021), 11220-11227
NB-MLM: Efficient domain adaptation of masked language models for sentiment analysis
Arefyev N., Kharchev D., Shelmanov A.
Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), 9114–9124
Distributed saddle-point problems under data similarity
Beznosikov A., Scutari G., Rogozin A., Gasnikov A.
Neural Information Processing Systems (NeurIPS 2021)
Navigating the GAN parameter space for semantic image editing
Cherepkov A., Voynov A., Babenko A.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), 3671–3680
Wilf classes of non-symmetric operads
Cherkasov A., Piontkovski D.
International Symposium on Symbolic and Algebraic Computation (ISSAC 2021), 91-98
On the embeddings of variables in recurrent neural networks for source code
Chirkova N.
Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021), 2679-2689
A simple approach for handling out-of-Vocabulary identifiers in deep learning for source code
Chirkova N., Troshin S.
Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021), 278-288
Empirical study of transformers for source code
Chirkova N., Troshin S.
European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2021), 4988–4997
Newton method over networks is fast up to the statistical precision
Daneshmand A., Dvurechensky P., Gasnikov A. et al.
International Conference on Machine Learning (ICML 2021), 2398-2409
Federated-EM with heterogeneity mitigation and variance reduction
Dieuleveut A., Moulines E. et al.
Neural Information Processing Systems (NeurIPS 2021)
Distributed deep learning In open collaborations
Diskin M., Bukhtiyarov A., Ryabinin M., Borzunov A. et al.
Neural Information Processing Systems (NeurIPS 2021)
Tight high probability bounds for linear stochastic approximation with fixed stepsize
Durmus A., Moulines E., Naumov A., Samsonov S. et al.
Neural Information Processing Systems (NeurIPS 2021)
Improved complexity bounds in Wasserstein barycenter problem
Dvinskikh D., Tiapkin D.
International Conference on Artificial Intelligence and Statistics (AISTATS 2021), 1738-1746
Revisiting deep learning models for tabular data
Gorishniy Y., Rubachev I., Khrulkov V., Babenko A.
Neural Information Processing Systems (NeurIPS 2021)
Good classification measures and how to find them
Gösgens M., Prokhorenkova L.
Neural Information Processing Systems (NeurIPS 2021)
On a combination of alternating minimization and Nesterov’s momentum
Guminov S., Dvurechensky P., Tupitsa N., Gasnikov A.
International Conference on Machine Learning (ICML 2021), 3886-3898
Neural side-by-side: Predicting human preferences for no-reference super-resolution evaluation
Khrulkov V., Babenko A.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), 4988–4997
Deciding boundedness of monadic sirups
Kikot S., Kurucz A., Podolskii V., Zakharyaschev M.
International Conference on Management of Data (SIGMOD/PODS 2021), 370–387
Lower bounds and optimal algorithms for smooth and strongly convex decentralized optimization over time-varying networks
Kovalev D., Gasnikov A. et al.
Neural Information Processing Systems (NeurIPS 2021)
ADOM: accelerated decentralized optimization method for time-varying networks
Kovalev D., Rogozin A., Gasnikov A. et al.
International Conference on Machine Learning (ICML 2021), 5784-5793
Artificial text detection via examining the topology of attention maps
Kushnareva L., Artemova E., Piontkovski D. et al.
Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), 635-649
On the periodic behavior of neural network training with batch normalization and weight decay
Lobacheva E., Kodryan M., Chirkova N., Malinin A, Vetrov D.
Neural Information Processing Systems (NeurIPS 2021)
A systematic evaluation of transfer learning and pseudo-labeling with BERT-based ranking models
Mokrii Iu., Boytsov L., Braslavski P.
International ACM Conference on Research and Development in Information Retrieval (SIGIR 2021), 2081-2085
Uncertainty measures in neural belief tracking and the effects on dialogue policy performance
van Niekerk C., Malinin A. et al.
Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), 7901–7914
Revisiting mahalanobis distance for transformer-based out-of-domain detection
Podolskiy A., Lipin D., Artemova E., et al.
AAAI Conference on Artificial Intelligence (AAAI 2021), 13675–13682
Multi-sentence resampling: A simple approach to alleviate dataset length bias and beam-search degradation
Provilkov I., Malinin A.
Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), 8612–8621
Convergence of array DBMS and cellular automata: A road traffic simulation case
Rodriges Zalipynis R.A.
International Conference on Management of Data (SIGMOD/PODS 2021), 2399–2403
Moshpit SGD: Communication-efficient decentralized training on heterogeneous unreliable devices
Ryabinin M., Gorbunov E., Plokhotnyuk V., Pekhimenko G.
Neural Information Processing Systems (NeurIPS 2021)
Scaling ensemble distribution distillation to many classes with proxy targets
Ryabinin M., Malinin A., Gales M.
Neural Information Processing Systems (NeurIPS 2021)
Active learning for sequence tagging with deep pre-trained models and Bayesian uncertainty estimates
Shelmanov A., Artemova E. et al.
European Association of Computational Linguistics (EACL 2021), 1698-1712
Overlapping spaces for compact graph representations
Shevkunov K., Prokhorenkova L.
Neural Information Processing Systems (NeurIPS 2021)
SPARQLing database queries from intermediate question decompositions
Saparina I., Osokin A.
Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), 8984–8998
Leveraging recursive Gumbel-Max trick for approximate inference in combinatorial spaces
Struminsky K., Gadetsky A., Rakitin D., Karpushkin D.,Vetrov D.
Neural Information Processing Systems (NeurIPS 2021)
It's all in the heads: Using attention heads as a baseline for cross-lingual transfer in commonsense reasoning
Tikhonov A., Ryabinin M.
Association for Computational Linguistics (ACL-IJCNLP 2021), 3534–3546
Towards time-optimal any-angle path planning with dynamic obstacles
Yakovlev K., Andreychuk A.
International Conference on Automated Planning and Scheduling (ICAPS 2021), 405-414
Observation of the mass Difference between Neutral Charm-Meson Eigenstates
Aaij R., Derkach D., Maevskiy A., Karpov M., Ratnikov F., Ryzhikov A., Boldyrev A., Gushchin M., Ustyuzhanin A. et al. (The LHCb collaboration)
Physical Review Letters 127:111801
*and 80 other publications prepared within the framework of CERN collaborations
About semblance filtering in (tau-p)-domain
Akhmetsafin R., Akhmetsafina R., Smelov A.
IEEE Geoscience and Remote Sensing Letters
Histone dynamics mediate DNA unwrapping and sliding in nucleosomes
Armeev G., Shaytan A. et al.
Nature Communications 12:2387
Limit points and additive group actions
Arzhantsev I.
Ricerche di Matematica
First-order rewritability of ontology-mediated queries in linear temporal logic
Artale A., Zakharyaschev M. et al.
Artificial Intelligence 299:103536
Derivations of group rings for finite and FC groups
Arutyunov A., Kosolapov L.
Finite Fields and their Applications 76:101921
Manifolds of isospectral arrow matrices
Ayzenberg A., Buchstaber V.
Sbornik Mathematics 212:605
Manifolds of isospectral matrices and Hessenberg varieties
Ayzenberg A., Buchstaber V.
International Mathematics Research Notices 2021, 16671–16692
Moments of L-functions and the Liouville-Green method
Balkanova O., Frolenkov D.
Journal of the European Mathematical Society 23, 1333–1380
Density deconvolution under general assumptions on the distribution of measurement errors
Belomestny D., Goldenshluger A.
Annals of Statistics 49, 615–649
Variance reduction for dependent sequences with applications to Stochastic Gradient MCMC
Belomestny D., Iosipoi L., Moulines E., Naumov A., Samsonov S.
SIAM-ASA Journal on Uncertainty Quantification 9, 507–535
Massive MIMO adaptive modulation and coding using online deep learning algorithm
Bobrov E., Kropotov D., Lu H.
IEEE Communications Letters. In press
On distributions of homogeneous and convex functions in Gaussian random variables
Bogachev V., Kosov E., Popova S.
Izvestiya Mathematics 85, 852–882
Regularity of solutions to Kolmogorov equations with perturbed drifts
Bogachev V., Kosov E., Shaposhnikov A.
Potential Analysis
Entropic-Wasserstein barycenters: PDE characterization, regularity, and CLT
Carlier G., Kroshnin A.
Siam Journal on Mathematical Analysis 53, 5880–5914
Comprehensive analysis of cancer breakpoints reveals signatures of genetic and epigenetic contribution to cancer genome rearrangements
Cheloshkina K., Poptsova M.
PLOS Computational Biology 17
Switching systems with dwell time: Computing the maximal Lyapunov exponent
Chitour Y., Protasov V. et al.
Nonlinear Analysis: Hybrid Systems 40:101021
Molecular mechanisms of oncogenesis through the lens of nucleosomes and histones
Espiritu D., Shaytan A. et al.
Journal of Physical Chemistry B 125, 3963-3976
Fast incremental expectation maximization for finite-sum optimization: nonasymptotic convergence
Fort G., Gach P., Moulines E.
Statistics and Computing 31:48
MEG signatures of long-term effects of agreement and disagreement with the majority
Gorin A., Ossadtchi A. et al.
Scientific Reports 11:3297
SpheroidPicker for automated 3D cell culture manipulation using deep learning
Grexa I., Moshkov N. et al.
Scientific Reports 11:14813
Linear functions preserving Green's relations over fields
Guterman A., Maksaev A. et al.
Linear Algebra and its Applications 611, 310-333
Shifting paths to avoidable ones
Gurvich V., Krnc M., Milanic M., Vyalyi M.
Journal of Graph Theory (2021)
Generalization of change-point detection in time series data based on direct density ratio estimation
Hushchyn M., Ustyuzhanin A.
Journal of Computational Science 53:101385
Automated identification of current sheets—A new tool to study turbulence and intermittency in the solar wind
Khabarova O., Sagitov T. et al.
Journal of Geophysical Research: Space Physics 126:e2020JA029099
Robust k-means clustering for distributions with two moments
Klochkov Y., Kroshnin A., Zhivotovskiy N.
Annals of Statistics 49, 2206–2230
Evolution of MEG: A first MEG-feasible fluxgate magnetometer
Koshev N., Ossadtchi A. et al.
Human Brain Mapping 42, 4844-4856
Marcinkiewicz-type discretization of Lp-norms under the Nikolskii-type inequality assumption
Kosov E.
Journal of Mathematical Analysis and Applications 504:125358
Total variation distance estimates via L2-norm for polynomials in log-concave random vectors
Kosov E.
International Mathematics Research Notices 2021, 16492–16508
Automatic Kolmogorov complexity, normality, and finite-state dimension revisited
Kozachinskiy A., Shen A.
Journal of Computer and System Sciences 118, 75-107
On the Gardner-Zvavitch conjecture: Symmetry in inequalities of Brunn-Minkowski type
Kolesnikov A., Livshyts G.
Advances in Mathematics 384:107689
Deep convolutional neural networks help scoring tandem mass spectrometry data in database-searching approaches
Kudriavtseva P., Kashkinov M., Kertesz-Farkas A.
Journal of Proteome Research 20, 4708-4717
Modified covariance beamformer for solving MEG inverse problem in the environment with correlated sources
Kuznetsova A., Nurislamova Y., Ossadtchi A.
NeuroImage 228:117677
A game-theoretical model of the landscape theory
Le Breton M., Shapoval A., Weber S.
Journal of Mathematical Economics 92, 41-46
MMS observations of super thin electron-scale current sheets in the Earth's magnetotail
Leonenko M., Popov V. et al.
Journal of Geophysical Research: Space Physics 126:e2021JA029641
Algorithms yield upper bounds in differential algebra
Li W., Pogudin G. et al.
Canadian Journal of Mathematics 1-23
Fault detection in Tennessee Eastman process with temporal deep learning models
Lomov I., Lyubimov M., Makarov I., Zhukov L.
Journal of Industrial Information Integration 23:100216
Survey on graph embeddings and their applications to machine learning problems on graphs
Makarov I., Kiselev D., Nikitinsky N. et al.
PeerJ Computer Science 7:e357
Fusion of text and graph information for machine learning problems on networks
Makarov I. Makarov M., Kiselev D.
PeerJ Computer Science 7:e526
Mint: MDL-based approach for mining INTeresting numerical pattern sets
Makhalova T., Kuznetsov S., Napoli A.
Data Mining and Knowledge Discovery
Simulating the time projection chamber responses at the MPD detector using generative adversarial networks
Maevskiy A., Ratnikov F., Zinchenko A. et al.
European Physical Journal C 81:599
A Petri net extension for systems of concurrent communicating agents with durable actions
Mecheraoui K., Lomazova I., Belala N.
Journal of Parallel and Distributed Computing 155, 14–23
Local ancestry prediction with PyLAE
Moshkov N., Smetanin A., Tatarinova T.
PeerJ 9:e12502
Decoding and interpreting cortical signals with a compact convolutional neural network
Petrosyan A., Sinkin M., Ossadtchi A. et al.
Journal of Neural Engineering 18
Robust alternating direction implicit solverin quantized tensor formats for athree-dimensional elliptic PDE
Rakhuba M.
SIAM Journal of Scientific Computing 43, A800-A827
Array DBMS: past, present, and (near) future
Rodriges Zalipynis R.
Proceedings of the VLDB Endowment 14, 3186-3189
The p53 family member p73 in the regulation of cell stress response
Rozenberg J., Bessmertnyi A. et al.
Biology Direct 16:23
NFAD: fixing anomaly detection using normalizing flows
Ryzhikov A., Borisyak M., Ustyuzhanin A., Derkach D.
PeerJ Computer Science 7:e757
Neuropsychiatric disease classification using functional connectomics- results of the connectomics in neuroimaging transfer learning challenge
Schirmer M., Levchenko E. et al.
Medical Image Analysis 70
1/x power-law in a close proximity of the Bak–Tang–Wiesenfeld sandpile
Shapoval A., Shapoval B., Shnirman M.
Scientific Reports 11:18151
Least-squares community extraction in feature-rich networks using similarity data
Shalileh S., Mirkin B.
PLoS ONE 16:e0254377
Zeroth-order methods for noisy Hölder-gradient functions
Shibaev I., Dvurechensky P., Gasnikov A.
Optimization Letters
Inexact model: a framework for optimization and variational inequalities
Stonyakin F., Tyurin A., Gasnikov A., Dvurechensky P., Alkousa M. et al.
Optimization Methods and Software
Extreme events in a forced BVP oscillator: Experimental and numerical studies
Thangavel B., Srinivasan S., Kathamuthu T.
Chaos, Solitons and Fractals 153:111569
An ontology-based approach to the analysis of the acid-base state of patients at operative measures
Tianxing M., Ignatov D. et al.
PeerJ Computer Science 7:e777
Alternating minimization methods for strongly convex optimization
Tupitsa N., Dvurechensky P., Gasnikov A., Guminov S.
Journal of Inverse and Ill-Posed Problems 29, 721-739
Cortical and autonomic responses during staged Taoist meditation: Two distinct meditation strategies
Volodina M., Smetanin N., Lebedev M., Ossadtchi A.
PLOS ONE 16:e0260626
Strong subalgebras and the constraint satisfaction problem
Zhuk D.
Journal of Multiple-Valued Logic and Soft Computing 36, 455-504
Fast Depth Map Super-Resolution Using Deep Neural Network |