| A dichotomy theorem for general minimum cost homomorphism problem R Takhanov 27th International Symposium on Theoretical Aspects of Computer Science, 2007 | 62 | 2007 |
| Fourier neural networks: A comparative study M Uteuliyeva, A Zhumekenov, R Takhanov, Z Assylbekov, AJ Castro, ... Intelligent Data Analysis 24 (5), 1107-1120, 2020 | 41 | 2020 |
| Syllable-aware neural language models: A failure to beat character-aware ones Z Assylbekov, R Takhanov, B Myrzakhmetov, JN Washington 2017 Conference on Empirical Methods in Natural Language Processing, 2017 | 19 | 2017 |
| Extensions of the minimum cost homomorphism problem R Takhanov Computing and Combinatorics: 16th Annual International Conference, COCOON …, 2010 | 17 | 2010 |
| Inference algorithms for pattern-based CRFs on sequence data R Takhanov, V Kolmogorov International Conference on Machine Learning, 145-153, 2013 | 16 | 2013 |
| Effectiveness of structural restrictions for hybrid CSPs V Kolmogorov, M Rolínek, R Takhanov International Symposium on Algorithms and Computation, 566-577, 2015 | 15 | 2015 |
| Context vectors are reflections of word vectors in half the dimensions Z Assylbekov, R Takhanov Journal of Artificial Intelligence Research 66, 225-242, 2019 | 12 | 2019 |
| On the speed of uniform convergence in Mercer's theorem R Takhanov Journal of Mathematical Analysis and Applications 518 (2), 126718, 2023 | 10 | 2023 |
| Reusing weights in subword-aware neural language models Z Assylbekov, R Takhanov 2018 Conference of the North American Chapter of the Association for …, 2018 | 8 | 2018 |
| Hybrid VCSPs with Crisp and Valued Conservative Templates R Takhanov 28th International Symposium on Algorithms and Computation (ISAAC 2017), 2017 | 8* | 2017 |
| Patterns versus characters in subword-aware neural language modeling R Takhanov, Z Assylbekov International Conference on Neural Information Processing, 157-166, 2017 | 3 | 2017 |
| Предикатное задание универсальных ограничений в алгебраическом подходе к задачам распознавания РС Таханов Журнал вычислительной математики и математической физики 47 (3), 547-552, 2007 | 3* | 2007 |
| Autoencoders for a manifold learning problem with a jacobian rank constraint R Takhanov, YS Abylkairov, M Tezekbayev Pattern Recognition 143, 109777, 2023 | 2 | 2023 |
| Reducing the dimensionality of data using tempered distributions R Takhanov Digital Signal Processing 133, 103819, 2023 | 2 | 2023 |
| Learning the pattern-based CRF for prediction of a protein local structure Z Mukanov, R Takhanov Informatica 46 (6), 2022 | 2 | 2022 |
| Semantics-and Syntax-related Subvectors in the Skip-gram Embeddings M Tezekbayev, Z Assylbekov, R Takhanov arXiv preprint arXiv:1912.13413, 2019 | 2 | 2019 |
| Максимальные предикатные задания множеств отображений РС Таханов Журнал вычислительной математики и математической физики 47 (9), 1636-1648, 2007 | 2* | 2007 |
| Multi-layer random features and the approximation power of neural networks R Takhanov arXiv preprint arXiv:2404.17461, 2024 | 1 | 2024 |
| Intractability of Learning the Discrete Logarithm with Gradient-Based Methods R Takhanov, M Tezekbayev, A Pak, A Bolatov, Z Kadyrsizova, ... Asian Conference on Machine Learning, 1321-1336, 2024 | 1 | 2024 |
| The algebraic structure of the densification and the sparsification tasks for CSPs R Takhanov Constraints 28 (1), 13-44, 2023 | 1 | 2023 |
Zhenisbek AssylbekovPurdue University Fort WayneVerified email at pfw.edu
