Rustem Takhanov

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 40

Top Topics

Dimension Reduction

Fourier Analysis

Top Venues

Intell. Data Anal.

Publications

Rustem Takhanov
Multi-layer random features and the approximation power of neural networks. CoRR (2024)
Rustem Takhanov
On the Induced Problem for Fixed-Template CSPs. SOFSEM (2024)
Rustem Takhanov
The algebraic structure of the densification and the sparsification tasks for CSPs. Constraints An Int. J. 28 (1) (2023)
Rustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhibek Kadyrsizova, Zhenisbek Assylbekov
Intractability of Learning the Discrete Logarithm with Gradient-Based Methods. CoRR (2023)
Rustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhibek Kadyrsizova, Zhenisbek Assylbekov
Intractability of Learning the Discrete Logarithm with Gradient-Based Methods. ACML (2023)
Rustem Takhanov
Reducing the dimensionality of data using tempered distributions. Digit. Signal Process. 133 (2023)
Rustem Takhanov, Y. Sultan Abylkairov, Maxat Tezekbayev
Autoencoders for a manifold learning problem with a Jacobian rank constraint. CoRR (2023)
Rustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhenisbek Assylbekov
Gradient Descent Fails to Learn High-frequency Functions and Modular Arithmetic. CoRR (2023)
Rustem Takhanov, Y. Sultan Abylkairov, Maxat Tezekbayev
Autoencoders for a manifold learning problem with a jacobian rank constraint. Pattern Recognit. 143 (2023)
Artur Pak, Sultan Nurmukhamedov, Rustem Takhanov, Zhenisbek Assylbekov
Hardness of Learning AES Key (Student Abstract). AAAI (2023)
Rustem Takhanov
Computing a Partition Function of a Generalized Pattern-Based Energy over a Semiring. Theory Comput. Syst. 67 (4) (2023)
Rustem Takhanov
Computing a partition function of a generalized pattern-based energy over a semiring. CoRR (2023)
Zhalgas Mukanov, Rustem Takhanov
Learning the pattern-based CRF for prediction of a protein local structure. Informatica (Slovenia) 46 (6) (2022)
Rustem Takhanov, Vladimir Kolmogorov
Combining pattern-based CRFs and weighted context-free grammars. Intell. Data Anal. 26 (1) (2022)
Rustem Takhanov
On the speed of uniform convergence in Mercer's theorem. CoRR (2022)
Sultan Nurmukhamedov, Artur Pak, Rustem Takhanov, Zhenisbek Assylbekov
Hardness of Learning AES Key (Short Paper). DP@AI*IA (2022)
Rustem Takhanov
Spectral bounds of the ε-entropy of kernel classes. CoRR (2022)
Rustem Takhanov
How many moments does MMD compare? CoRR (2021)
Rustem Takhanov
The algebraic structure of the densification and the sparsification tasks for CSPs. CoRR (2021)
Abylay Zhumekenov, Rustem Takhanov, Alejandro J. Castro, Zhenisbek Assylbekov
Approximation error of Fourier neural networks. Stat. Anal. Data Min. 14 (3) (2021)
Malika Uteuliyeva, Abylay Zhumekenov, Rustem Takhanov, Zhenisbek Assylbekov, Alejandro J. Castro, Olzhas Kabdolov
Fourier neural networks: A comparative study. Intell. Data Anal. 24 (5) (2020)
Zhenisbek Assylbekov, Rustem Takhanov
Context Vectors Are Reflections of Word Vectors in Half the Dimensions (Extended Abstract). IJCAI (2020)
Maxat Tezekbayev, Zhenisbek Assylbekov, Rustem Takhanov
Semantics- and Syntax-Related Subvectors in the Skip-Gram Embeddings (Student Abstract). AAAI (2020)
Maxat Tezekbayev, Zhenisbek Assylbekov, Rustem Takhanov
Semantics- and Syntax-related Subvectors in the Skip-gram Embeddings. CoRR (2019)
Zhenisbek Assylbekov, Rustem Takhanov
Context Vectors are Reflections of Word Vectors in Half the Dimensions. J. Artif. Intell. Res. 66 (2019)
Zhenisbek Assylbekov, Rustem Takhanov
Context Vectors are Reflections of Word Vectors in Half the Dimensions. CoRR (2019)
Abylay Zhumekenov, Malika Uteuliyeva, Olzhas Kabdolov, Rustem Takhanov, Zhenisbek Assylbekov, Alejandro J. Castro
Fourier Neural Networks: A Comparative Study. CoRR (2019)
Bagdat Myrzakhmetov, Rustem Takhanov, Zhenisbek Assylbekov
Initial Explorations on Chaotic Behaviors of Recurrent Neural Networks. CICLing (1) (2019)
Rustem Takhanov
Dimension reduction as an optimization problem over a set of generalized functions. CoRR (2019)
Rustem Takhanov
Fourier analysis perspective for sufficient dimension reduction problem. CoRR (2018)
Zhenisbek Assylbekov, Rustem Takhanov
Reusing Weights in Subword-aware Neural Language Models. CoRR (2018)
Olzhas Kabdolov, Zhenisbek Assylbekov, Rustem Takhanov
Reproducing and Regularizing the SCRN Model. COLING (2018)
Zhenisbek Assylbekov, Rustem Takhanov
Reusing Weights in Subword-Aware Neural Language Models. NAACL-HLT (2018)
Rustem Takhanov
Hybrid VCSPs with Crisp and Valued Conservative Templates. ISAAC (2017)
Zhenisbek Assylbekov, Rustem Takhanov, Bagdat Myrzakhmetov, Jonathan North Washington
Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones. CoRR (2017)
Rustem Takhanov
Searching for an algebra on CSP solutions. CoRR (2017)
Rustem Takhanov, Zhenisbek Assylbekov
Patterns Versus Characters in Subword-Aware Neural Language Modeling. ICONIP (2) (2017)
Zhenisbek Assylbekov, Rustem Takhanov, Bagdat Myrzakhmetov, Jonathan North Washington
Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones. EMNLP (2017)
Rustem Takhanov, Zhenisbek Assylbekov
Patterns versus Characters in Subword-aware Neural Language Modeling. CoRR (2017)
Vladimir Kolmogorov, Rustem Takhanov
Inference Algorithms for Pattern-Based CRFs on Sequence Data. Algorithmica 76 (1) (2016)
Rustem Takhanov
Hybrid (V)CSPs and algebraic reductions. CoRR (2015)
Vladimir Kolmogorov, Michal Rolinek, Rustem Takhanov
Effectiveness of Structural Restrictions for Hybrid CSPs. CoRR (2015)
Vladimir Kolmogorov, Michal Rolínek, Rustem Takhanov
Effectiveness of Structural Restrictions for Hybrid CSPs. ISAAC (2015)
Rustem Takhanov, Vladimir Kolmogorov
Combining pattern-based CRFs and weighted context-free grammars. CoRR (2014)
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 (2014)
Rustem Takhanov, Vladimir Kolmogorov
Inference algorithms for pattern-based CRFs on sequence data. ICML (3) (2013)
Rustem Takhanov, Vladimir Kolmogorov
Inference algorithms for pattern-based CRFs on sequence data CoRR (2012)
Rustem Takhanov
Extensions of the Minimum Cost Homomorphism Problem CoRR (2012)
Rustem Takhanov
Extensions of the Minimum Cost Homomorphism Problem. COCOON (2010)
Rustem Takhanov
A Dichotomy Theorem for the General Minimum Cost Homomorphism Problem. STACS (2010)
Rustem Takhanov
On the monotonization of the training set CoRR (2007)
Rustem Takhanov
On predicate constraints with efficiently solvable task of fitting to training set CoRR (2007)