Zhenisbek Assylbekov

48 papers A* 5A 1B 4C 1Misc 1Journal 24Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deep Linear Discriminant Analysis Revisited.
CoRR
Maxat Tezekbayev, Rustem Takhanov, Arman Bolatov, Zhenisbek Assylbekov
2026 J jnl
Simplex Deep Linear Discriminant Analysis.
CoRR
Maxat Tezekbayev, Arman Bolatov, Zhenisbek Assylbekov
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 — conf
Learning Overspecified Gaussian Mixtures Exponentially Fast with the EM Algorithm.
ECML/PKDD (4)
Zhenisbek Assylbekov, Alan Legg, Artur Pak
2025 J jnl
Learning Overspecified Gaussian Mixtures Exponentially Fast with the EM Algorithm.
CoRR
Zhenisbek Assylbekov, Alan Legg, Artur Pak
2025 J jnl
Overspecified Mixture Discriminant Analysis: Exponential Convergence, Statistical Guarantees, and Remote Sensing Applications.
CoRR
Arman Bolatov, Alan Legg, Igor Melnykov, Amantay Nurlanuly, Maxat Tezekbayev, Zhenisbek Assylbekov
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 B conf
Hardness of Learning AES with Gradient-Based Methods.
CANS
Kanat Alimanov, 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 A conf
Long-Tail Theory Under Gaussian Mixtures.
ECAI
Arman Bolatov, Maxat Tezekbayev, Igor Melnykov, Artur Pak, Vassilina Nikoulina, Zhenisbek Assylbekov
2023 J jnl
Long-Tail Theory under Gaussian Mixtures.
CoRR
Arman Bolatov, Maxat Tezekbayev, Igor Melnykov, Artur Pak, Vassilina Nikoulina, Zhenisbek Assylbekov
2022 — conf
From Hyperbolic Geometry Back to Word Embeddings.
RepL4NLP@ACL
Zhenisbek Assylbekov, Sultan Nurmukhamedov, Arsen Sheverdin, Thomas Mach
2022 J jnl
From Hyperbolic Geometry Back to Word Embeddings.
CoRR
Sultan Nurmukhamedov, Thomas Mach, Arsen Sheverdin, Zhenisbek Assylbekov
2022 — conf
Hardness of Learning AES Key (Short Paper).
DP@AI*IA
Sultan Nurmukhamedov, Artur Pak, Rustem Takhanov, Zhenisbek Assylbekov
2022 — conf
Speeding Up Entmax.
NAACL-HLT (Findings)
Maxat Tezekbayev, Vassilina Nikoulina, Matthias Gallé, Zhenisbek Assylbekov
2021 J jnl
Approximation error of Fourier neural networks.
Stat. Anal. Data Min.
Abylay Zhumekenov, Rustem Takhanov, Alejandro J. Castro, Zhenisbek Assylbekov
2021 B conf
Geometric Probing of Word Vectors.
ESANN
Madina Babazhanova, Maxat Tezekbayev, Zhenisbek Assylbekov
2021 — conf
Hyperbolic Embedding for Finding Syntax in BERT.
DP@AI*IA
Temirlan Auyespek, Thomas Mach, Zhenisbek Assylbekov
2021 J jnl
Speeding Up Entmax.
CoRR
Maxat Tezekbayev, Vassilina Nikoulina, Matthias Gallé, Zhenisbek Assylbekov
2021 J jnl
The Rediscovery Hypothesis: Language Models Need to Meet Linguistics.
CoRR
Vassilina Nikoulina, Maxat Tezekbayev, Nuradil Kozhakhmet, Madina Babazhanova, Matthias Gallé, Zhenisbek Assylbekov
2021 J jnl
The Rediscovery Hypothesis: Language Models Need to Meet Linguistics.
J. Artif. Intell. Res.
Vassilina Nikoulina, Maxat Tezekbayev, Nuradil Kozhakhmet, Madina Babazhanova, Matthias Gallé, Zhenisbek Assylbekov
2020 A* conf
A Critique of the Smooth Inverse Frequency Sentence Embeddings (Student Abstract).
AAAI
Aidana Karipbayeva, Alena Sorokina, Zhenisbek Assylbekov
2020 J jnl
Binarized PMI Matrix: Bridging Word Embeddings and Hyperbolic Spaces.
CoRR
Zhenisbek Assylbekov, Alibi Jangeldin
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
2020 — conf
Squashed Shifted PMI Matrix: Bridging Word Embeddings and Hyperbolic Spaces.
Australasian Conference on Artificial Intelligence
Zhenisbek Assylbekov, Alibi Jangeldin
2019 J jnl
A Critique of the Smooth Inverse Frequency Sentence Embeddings.
CoRR
Aidana Karipbayeva, Alena Sorokina, Zhenisbek Assylbekov
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
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 — conf
Low-Rank Approximation of Matrices for PMI-Based Word Embeddings.
CICLing (1)
Alena Sorokina, Aidana Karipbayeva, Zhenisbek Assylbekov
2019 J jnl
Low-Rank Approximation of Matrices for PMI-based Word Embeddings.
CoRR
Alena Sorokina, Aidana Karipbayeva, Zhenisbek Assylbekov
2019 J jnl
Semantics- and Syntax-related Subvectors in the Skip-gram Embeddings.
CoRR
Maxat Tezekbayev, Zhenisbek Assylbekov, Rustem Takhanov
2018 B conf
Manual vs Automatic Bitext Extraction.
LREC
Aibek Makazhanov, Bagdat Myrzakhmetov, Zhenisbek Assylbekov
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 — 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 — conf
Simple and Accurate Method for Parallel Web Pages Detection.
ACIIDS (1)
Alibi Jangeldin, Zhenisbek Assylbekov
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 — conf
Detecting Value-Added Tax Evasion by Business Entities of Kazakhstan.
KES-IDT (1)
Zhenisbek Assylbekov, Igor Melnykov, Rustam Bekishev, Assel Baltabayeva, Dariya Bissengaliyeva, Eldar Mamlin
2015 Misc conf
A Statistical Model for Measuring Structural Similarity between Webpages.
RANLP
Zhenisbek Assylbekov, Assulan Nurkas, Inês Russinho Mouga