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ORCIDRustem Takhanov
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2020 – today
- 2024
[j11]Rustem Takhanov:
Almost pairwise independence and resilience to deep learning attacks. IACR Commun. Cryptol. 1(3): 32 (2024)- [c16]Rustem Takhanov
:
On the Induced Problem for Fixed-Template CSPs. SOFSEM 2024: 485-499 - [i26]Rustem Takhanov:
Multi-layer random features and the approximation power of neural networks. CoRR abs/2404.17461 (2024) - 2023
- [j10]Rustem Takhanov:
The algebraic structure of the densification and the sparsification tasks for CSPs. Constraints An Int. J. 28(1): 13-44 (2023) - [j9]Rustem Takhanov:
Reducing the dimensionality of data using tempered distributions. Digit. Signal Process. 133: 103819 (2023) - [j8]Rustem Takhanov:
Computing a Partition Function of a Generalized Pattern-Based Energy over a Semiring. Theory Comput. Syst. 67(4): 760-784 (2023) - [j7]Rustem Takhanov, Y. Sultan Abylkairov, Maxat Tezekbayev:
Autoencoders for a manifold learning problem with a jacobian rank constraint. Pattern Recognit. 143: 109777 (2023) - [c15]Artur Pak, Sultan Nurmukhamedov, Rustem Takhanov, Zhenisbek Assylbekov:
Hardness of Learning AES Key (Student Abstract). AAAI 2023: 16296-16297 - [c14]Rustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhibek Kadyrsizova, Zhenisbek Assylbekov:
Intractability of Learning the Discrete Logarithm with Gradient-Based Methods. ACML 2023: 1321-1336 - [i25]Rustem Takhanov:
Computing a partition function of a generalized pattern-based energy over a semiring. CoRR abs/2305.17526 (2023) - [i24]Rustem Takhanov, Y. Sultan Abylkairov, Maxat Tezekbayev:
Autoencoders for a manifold learning problem with a Jacobian rank constraint. CoRR abs/2306.14194 (2023) - [i23]Rustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhibek Kadyrsizova, Zhenisbek Assylbekov:
Intractability of Learning the Discrete Logarithm with Gradient-Based Methods. CoRR abs/2310.01611 (2023) - [i22]Rustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhenisbek Assylbekov:
Gradient Descent Fails to Learn High-frequency Functions and Modular Arithmetic. CoRR abs/2310.12660 (2023) - 2022
- [j6]Rustem Takhanov, Vladimir Kolmogorov:
Combining pattern-based CRFs and weighted context-free grammars. Intell. Data Anal. 26(1): 257-272 (2022) - [j5]Zhalgas Mukanov, Rustem Takhanov:
Learning the pattern-based CRF for prediction of a protein local structure. Informatica (Slovenia) 46(6) (2022) - [c13]Sultan Nurmukhamedov, Artur Pak, Rustem Takhanov, Zhenisbek Assylbekov:
Hardness of Learning AES Key (Short Paper). DP@AI*IA 2022: 42-47 - [i21]Rustem Takhanov:
Spectral bounds of the ε-entropy of kernel classes. CoRR abs/2204.04512 (2022) - [i20]Rustem Takhanov:
On the speed of uniform convergence in Mercer's theorem. CoRR abs/2205.00487 (2022) - 2021
- [j4]Abylay Zhumekenov, Rustem Takhanov, Alejandro J. Castro, Zhenisbek Assylbekov:
Approximation error of Fourier neural networks. Stat. Anal. Data Min. 14(3): 258-270 (2021) - [i19]Rustem Takhanov:
The algebraic structure of the densification and the sparsification tasks for CSPs. CoRR abs/2104.05065 (2021) - [i18]Rustem Takhanov:
How many moments does MMD compare? CoRR abs/2106.14277 (2021) - 2020
- [j3]Malika Uteuliyeva, Abylay Zhumekenov, Rustem Takhanov, Zhenisbek Assylbekov, Alejandro J. Castro, Olzhas Kabdolov:
Fourier neural networks: A comparative study. Intell. Data Anal. 24(5): 1107-1120 (2020) - [c12]Maxat Tezekbayev, Zhenisbek Assylbekov, Rustem Takhanov:
Semantics- and Syntax-Related Subvectors in the Skip-Gram Embeddings (Student Abstract). AAAI 2020: 13937-13938 - [c11]Zhenisbek Assylbekov, Rustem Takhanov:
Context Vectors Are Reflections of Word Vectors in Half the Dimensions (Extended Abstract). IJCAI 2020: 5115-5119
2010 – 2019
- 2019
- [j2]Zhenisbek Assylbekov, Rustem Takhanov:
Context Vectors are Reflections of Word Vectors in Half the Dimensions. J. Artif. Intell. Res. 66: 225-242 (2019) - [c10]Bagdat Myrzakhmetov, Rustem Takhanov, Zhenisbek Assylbekov:
Initial Explorations on Chaotic Behaviors of Recurrent Neural Networks. CICLing (1) 2019: 351-363 - [i17]Abylay Zhumekenov, Malika Uteuliyeva, Olzhas Kabdolov, Rustem Takhanov, Zhenisbek Assylbekov, Alejandro J. Castro:
Fourier Neural Networks: A Comparative Study. CoRR abs/1902.03011 (2019) - [i16]Zhenisbek Assylbekov, Rustem Takhanov:
Context Vectors are Reflections of Word Vectors in Half the Dimensions. CoRR abs/1902.09859 (2019) - [i15]Rustem Takhanov:
Dimension reduction as an optimization problem over a set of generalized functions. CoRR abs/1903.05083 (2019) - [i14]Maxat Tezekbayev, Zhenisbek Assylbekov, Rustem Takhanov:
Semantics- and Syntax-related Subvectors in the Skip-gram Embeddings. CoRR abs/1912.13413 (2019) - 2018
- [c9]Olzhas Kabdolov, Zhenisbek Assylbekov, Rustem Takhanov:
Reproducing and Regularizing the SCRN Model. COLING 2018: 1705-1716 - [c8]Zhenisbek Assylbekov, Rustem Takhanov:
Reusing Weights in Subword-Aware Neural Language Models. NAACL-HLT 2018: 1413-1423 - [i13]Zhenisbek Assylbekov, Rustem Takhanov:
Reusing Weights in Subword-aware Neural Language Models. CoRR abs/1802.08375 (2018) - [i12]Rustem Takhanov:
Fourier analysis perspective for sufficient dimension reduction problem. CoRR abs/1808.06191 (2018) - 2017
- [c7]Zhenisbek Assylbekov, Rustem Takhanov, Bagdat Myrzakhmetov, Jonathan North Washington:
Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones. EMNLP 2017: 1866-1872 - [c6]Rustem Takhanov, Zhenisbek Assylbekov:
Patterns Versus Characters in Subword-Aware Neural Language Modeling. ICONIP (2) 2017: 157-166 - [c5]Rustem Takhanov:
Hybrid VCSPs with Crisp and Valued Conservative Templates. ISAAC 2017: 65:1-65:13 - [i11]Zhenisbek Assylbekov, Rustem Takhanov, Bagdat Myrzakhmetov, Jonathan North Washington:
Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones. CoRR abs/1707.06480 (2017) - [i10]Rustem Takhanov:
Searching for an algebra on CSP solutions. CoRR abs/1708.08292 (2017) - [i9]Rustem Takhanov, Zhenisbek Assylbekov:
Patterns versus Characters in Subword-aware Neural Language Modeling. CoRR abs/1709.00541 (2017) - 2016
- [j1]Vladimir Kolmogorov, Rustem Takhanov:
Inference Algorithms for Pattern-Based CRFs on Sequence Data. Algorithmica 76(1): 17-46 (2016) - 2015
- [c4]Vladimir Kolmogorov, Michal Rolínek, Rustem Takhanov:
Effectiveness of Structural Restrictions for Hybrid CSPs. ISAAC 2015: 566-577 - [i8]Vladimir Kolmogorov, Michal Rolínek, Rustem Takhanov:
Effectiveness of Structural Restrictions for Hybrid CSPs. CoRR abs/1504.07067 (2015) - [i7]Rustem Takhanov:
Hybrid (V)CSPs and algebraic reductions. CoRR abs/1506.06540 (2015) - 2014
- [i6]Vladimir Kolmogorov, Christoph H. Lampert, Emilie Morvant, Rustem Takhanov:
Proceedings of The 38th Annual Workshop of the Austrian Association for Pattern Recognition (ÖAGM), 2014. CoRR abs/1404.3538 (2014) - [i5]Rustem Takhanov, Vladimir Kolmogorov:
Combining pattern-based CRFs and weighted context-free grammars. CoRR abs/1404.5475 (2014) - 2013
- [c3]Rustem Takhanov, Vladimir Kolmogorov:
Inference algorithms for pattern-based CRFs on sequence data. ICML (3) 2013: 145-153 - 2012
- [i4]Rustem Takhanov, Vladimir Kolmogorov:
Inference algorithms for pattern-based CRFs on sequence data. CoRR abs/1210.0508 (2012) - [i3]Rustem Takhanov:
Extensions of the Minimum Cost Homomorphism Problem. CoRR abs/1210.2260 (2012) - 2010
- [c2]Rustem Takhanov:
Extensions of the Minimum Cost Homomorphism Problem. COCOON 2010: 328-337 - [c1]Rustem Takhanov:
A Dichotomy Theorem for the General Minimum Cost Homomorphism Problem. STACS 2010: 657-668
2000 – 2009
- 2007
- [i2]Rustem Takhanov:
On the monotonization of the training set. CoRR abs/0705.2765 (2007) - [i1]Rustem Takhanov:
On predicate constraints with efficiently solvable task of fitting to training set. CoRR abs/0708.3226 (2007)
Coauthor Index
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