Semantics- and Syntax-related Subvectors in the Skip-gram Embeddings. - Maxat Tezekbayev; Zhenisbek Assylbekov; Rustem Takhanov (CoRR, 2019)

Semantics- and Syntax-Related Subvectors in the Skip-Gram Embeddings (Student Abstract). - Maxat Tezekbayev; Zhenisbek Assylbekov; Rustem Takhanov (AAAI, 2020)

Geometric Probing of Word Vectors. - Madina Babazhanova; Maxat Tezekbayev; Zhenisbek Assylbekov (ESANN, 2021)

The Rediscovery Hypothesis: Language Models Need to Meet Linguistics. - Vassilina Nikoulina; Maxat Tezekbayev; Nuradil Kozhakhmet; Madina Babazhanova; Matthias Gallé; Zhenisbek Assylbekov (J. Artif. Intell. Res., 2021)

Speeding Up Entmax. - Maxat Tezekbayev; Vassilina Nikoulina; Matthias Gallé; Zhenisbek Assylbekov (NAACL-HLT (Findings), 2022)

Intractability of Learning the Discrete Logarithm with Gradient-Based Methods. - Rustem Takhanov; Maxat Tezekbayev; Artur Pak; Arman Bolatov; Zhibek Kadyrsizova; Zhenisbek Assylbekov (ACML, 2023)

Long-Tail Theory Under Gaussian Mixtures. - Arman Bolatov; Maxat Tezekbayev; Igor Melnykov; Artur Pak; Vassilina Nikoulina; Zhenisbek Assylbekov (ECAI, 2023)

Autoencoders for a manifold learning problem with a jacobian rank constraint. - Rustem Takhanov; Y. Sultan Abylkairov; Maxat Tezekbayev (Pattern Recognit., 2023)

Gradient descent fails to learn high-frequency functions and modular arithmetic. - Rustem Takhanov; Maxat Tezekbayev; Artur Pak; Arman Bolatov; Zhenisbek Assylbekov (Mach. Learn., 2025)