Rustem Takhanov

59 papers A* 4A 2B 4C 1Misc 1Journal 42Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Linear Discriminant Analysis Revisited. CoRR Maxat Tezekbayev, Rustem Takhanov, Arman Bolatov, Zhenisbek Assylbekov
2026	J	`jnl`	On the Intrinsic Dimensions of Data in Kernel Learning. CoRR Rustem Takhanov
2025	J	`jnl`	Gradient descent fails to learn high-frequency functions and modular arithmetic. Mach. Learn. Rustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhenisbek Assylbekov
2025	J	`jnl`	The informativeness of the gradient revisited. CoRR Rustem Takhanov
2025	J	`jnl`	The informativeness of the gradient revisited. Neural Networks Rustem Takhanov
2024	J	`jnl`	Almost pairwise independence and resilience to deep learning attacks. IACR Commun. Cryptol. Rustem Takhanov
2024	A	`conf`	Multi-layer random features and the approximation power of neural networks. UAI Rustem Takhanov
2024	J	`jnl`	Multi-layer random features and the approximation power of neural networks. CoRR Rustem Takhanov
2024	B	`conf`	On the Induced Problem for Fixed-Template CSPs. SOFSEM Rustem Takhanov
2023	J	`jnl`	Autoencoders for a manifold learning problem with a Jacobian rank constraint. CoRR Rustem Takhanov, Y. Sultan Abylkairov, Maxat Tezekbayev
2023	J	`jnl`	Autoencoders for a manifold learning problem with a jacobian rank constraint. Pattern Recognit. Rustem Takhanov, Y. Sultan Abylkairov, Maxat Tezekbayev
2023	J	`jnl`	Computing a Partition Function of a Generalized Pattern-Based Energy over a Semiring. Theory Comput. Syst. Rustem Takhanov
2023	J	`jnl`	Computing a partition function of a generalized pattern-based energy over a semiring. CoRR Rustem Takhanov
2023	J	`jnl`	Gradient Descent Fails to Learn High-frequency Functions and Modular Arithmetic. CoRR Rustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhenisbek Assylbekov
2023	A*	`conf`	Hardness of Learning AES Key (Student Abstract). AAAI Artur Pak, Sultan Nurmukhamedov, Rustem Takhanov, Zhenisbek Assylbekov
2023	C	`conf`	Intractability of Learning the Discrete Logarithm with Gradient-Based Methods. ACML Rustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhibek Kadyrsizova, Zhenisbek Assylbekov
2023	J	`jnl`	Intractability of Learning the Discrete Logarithm with Gradient-Based Methods. CoRR Rustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhibek Kadyrsizova, Zhenisbek Assylbekov
2023	J	`jnl`	Reducing the dimensionality of data using tempered distributions. Digit. Signal Process. Rustem Takhanov
2023	J	`jnl`	The algebraic structure of the densification and the sparsification tasks for CSPs. Constraints An Int. J. Rustem Takhanov
2022	J	`jnl`	Combining pattern-based CRFs and weighted context-free grammars. Intell. Data Anal. Rustem Takhanov, Vladimir Kolmogorov
2022	—	`conf`	Hardness of Learning AES Key (Short Paper). DP@AI*IA Sultan Nurmukhamedov, Artur Pak, Rustem Takhanov, Zhenisbek Assylbekov
2022	J	`jnl`	Learning the pattern-based CRF for prediction of a protein local structure. Informatica (Slovenia) Zhalgas Mukanov, Rustem Takhanov
2022	J	`jnl`	On the speed of uniform convergence in Mercer's theorem. CoRR Rustem Takhanov
2022	J	`jnl`	Spectral bounds of the ε-entropy of kernel classes. CoRR Rustem Takhanov
2021	J	`jnl`	Approximation error of Fourier neural networks. Stat. Anal. Data Min. Abylay Zhumekenov, Rustem Takhanov, Alejandro J. Castro, Zhenisbek Assylbekov
2021	J	`jnl`	How many moments does MMD compare? CoRR Rustem Takhanov
2021	J	`jnl`	The algebraic structure of the densification and the sparsification tasks for CSPs. CoRR Rustem Takhanov
2020	A*	`conf`	Context Vectors Are Reflections of Word Vectors in Half the Dimensions (Extended Abstract). IJCAI Zhenisbek Assylbekov, Rustem Takhanov
2020	J	`jnl`	Fourier neural networks: A comparative study. Intell. Data Anal. Malika Uteuliyeva, Abylay Zhumekenov, Rustem Takhanov, Zhenisbek Assylbekov, Alejandro J. Castro, Olzhas Kabdolov
2020	A*	`conf`	Semantics- and Syntax-Related Subvectors in the Skip-Gram Embeddings (Student Abstract). AAAI Maxat Tezekbayev, Zhenisbek Assylbekov, Rustem Takhanov
2019	J	`jnl`	Context Vectors are Reflections of Word Vectors in Half the Dimensions. CoRR Zhenisbek Assylbekov, Rustem Takhanov
2019	J	`jnl`	Context Vectors are Reflections of Word Vectors in Half the Dimensions. J. Artif. Intell. Res. Zhenisbek Assylbekov, Rustem Takhanov
2019	J	`jnl`	Dimension reduction as an optimization problem over a set of generalized functions. CoRR Rustem Takhanov
2019	J	`jnl`	Fourier Neural Networks: A Comparative Study. CoRR Abylay Zhumekenov, Malika Uteuliyeva, Olzhas Kabdolov, Rustem Takhanov, Zhenisbek Assylbekov, Alejandro J. Castro
2019	—	`conf`	Initial Explorations on Chaotic Behaviors of Recurrent Neural Networks. CICLing (1) Bagdat Myrzakhmetov, Rustem Takhanov, Zhenisbek Assylbekov
2019	J	`jnl`	Semantics- and Syntax-related Subvectors in the Skip-gram Embeddings. CoRR Maxat Tezekbayev, Zhenisbek Assylbekov, Rustem Takhanov
2018	J	`jnl`	Fourier analysis perspective for sufficient dimension reduction problem. CoRR Rustem Takhanov
2018	B	`conf`	Reproducing and Regularizing the SCRN Model. COLING Olzhas Kabdolov, Zhenisbek Assylbekov, Rustem Takhanov
2018	—	`conf`	Reusing Weights in Subword-Aware Neural Language Models. NAACL-HLT Zhenisbek Assylbekov, Rustem Takhanov
2018	J	`jnl`	Reusing Weights in Subword-aware Neural Language Models. CoRR Zhenisbek Assylbekov, Rustem Takhanov
2017	B	`conf`	Hybrid VCSPs with Crisp and Valued Conservative Templates. ISAAC Rustem Takhanov
2017	—	`conf`	Patterns Versus Characters in Subword-Aware Neural Language Modeling. ICONIP (2) Rustem Takhanov, Zhenisbek Assylbekov
2017	J	`jnl`	Patterns versus Characters in Subword-aware Neural Language Modeling. CoRR Rustem Takhanov, Zhenisbek Assylbekov
2017	J	`jnl`	Searching for an algebra on CSP solutions. CoRR Rustem Takhanov
2017	A*	`conf`	Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones. EMNLP Zhenisbek Assylbekov, Rustem Takhanov, Bagdat Myrzakhmetov, Jonathan North Washington
2017	J	`jnl`	Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones. CoRR Zhenisbek Assylbekov, Rustem Takhanov, Bagdat Myrzakhmetov, Jonathan North Washington
2016	J	`jnl`	Inference Algorithms for Pattern-Based CRFs on Sequence Data. Algorithmica Vladimir Kolmogorov, Rustem Takhanov
2015	B	`conf`	Effectiveness of Structural Restrictions for Hybrid CSPs. ISAAC Vladimir Kolmogorov, Michal Rolínek, Rustem Takhanov
2015	J	`jnl`	Effectiveness of Structural Restrictions for Hybrid CSPs. CoRR Vladimir Kolmogorov, Michal Rolínek, Rustem Takhanov
2015	J	`jnl`	Hybrid (V)CSPs and algebraic reductions. CoRR Rustem Takhanov
2014	J	`jnl`	Combining pattern-based CRFs and weighted context-free grammars. CoRR Rustem Takhanov, Vladimir Kolmogorov
2014	J	`jnl`	Proceedings of The 38th Annual Workshop of the Austrian Association for Pattern Recognition (ÖAGM), 2014. CoRR Vladimir Kolmogorov, Christoph H. Lampert, Emilie Morvant, Rustem Takhanov
2013	—	`conf`	Inference algorithms for pattern-based CRFs on sequence data. ICML (3) Rustem Takhanov, Vladimir Kolmogorov
2012	J	`jnl`	Extensions of the Minimum Cost Homomorphism Problem CoRR Rustem Takhanov
2012	J	`jnl`	Inference algorithms for pattern-based CRFs on sequence data CoRR Rustem Takhanov, Vladimir Kolmogorov
2010	A	`conf`	A Dichotomy Theorem for the General Minimum Cost Homomorphism Problem. STACS Rustem Takhanov
2010	Misc	`conf`	Extensions of the Minimum Cost Homomorphism Problem. COCOON Rustem Takhanov
2007	J	`jnl`	On predicate constraints with efficiently solvable task of fitting to training set CoRR Rustem Takhanov
2007	J	`jnl`	On the monotonization of the training set CoRR Rustem Takhanov