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Zhenisbek Assylbekov
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2020 – today
- 2023
- [c23]Artur Pak, Sultan Nurmukhamedov, Rustem Takhanov, Zhenisbek Assylbekov:
Hardness of Learning AES Key (Student Abstract). AAAI 2023: 16296-16297 - [c22]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 - [c21]Kanat Alimanov, Zhenisbek Assylbekov:
Hardness of Learning AES with Gradient-Based Methods. CANS 2023: 126-133 - [c20]Arman Bolatov, Maxat Tezekbayev, Igor Melnykov
, Artur Pak, Vassilina Nikoulina, Zhenisbek Assylbekov
Long-Tail Theory Under Gaussian Mixtures. ECAI 2023: 109-116 - [i15]Arman Bolatov, Maxat Tezekbayev, Igor Melnykov, Artur Pak, Vassilina Nikoulina, Zhenisbek Assylbekov:
Long-Tail Theory under Gaussian Mixtures. CoRR abs/2307.10736 (2023) - [i14]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) - [i13]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
- [c19]Sultan Nurmukhamedov, Artur Pak, Rustem Takhanov, Zhenisbek Assylbekov:
Hardness of Learning AES Key (Short Paper). DP@AI*IA 2022: 42-47 - [c18]Maxat Tezekbayev, Vassilina Nikoulina, Matthias Gallé, Zhenisbek Assylbekov:
Speeding Up Entmax. NAACL-HLT (Findings) 2022: 1142-1158 - [c17]Zhenisbek Assylbekov, Sultan Nurmukhamedov, Arsen Sheverdin, Thomas Mach:
From Hyperbolic Geometry Back to Word Embeddings. RepL4NLP@ACL 2022: 39-45 - [i12]Sultan Nurmukhamedov, Thomas Mach, Arsen Sheverdin, Zhenisbek Assylbekov:
From Hyperbolic Geometry Back to Word Embeddings. CoRR abs/2204.12481 (2022) - 2021
- [j4]Vassilina Nikoulina, Maxat Tezekbayev, Nuradil Kozhakhmet, Madina Babazhanova, Matthias Gallé, Zhenisbek Assylbekov
The Rediscovery Hypothesis: Language Models Need to Meet Linguistics. J. Artif. Intell. Res. 72: 1343-1384 (2021) - [j3]Abylay Zhumekenov
Approximation error of Fourier neural networks. Stat. Anal. Data Min. 14(3): 258-270 (2021) - [c16]Temirlan Auyespek, Thomas Mach, Zhenisbek Assylbekov:
Hyperbolic Embedding for Finding Syntax in BERT. DP@AI*IA 2021: 58-64 - [c15]Madina Babazhanova, Maxat Tezekbayev, Zhenisbek Assylbekov
Geometric Probing of Word Vectors. ESANN 2021 - [i11]Vassilina Nikoulina, Maxat Tezekbayev, Nuradil Kozhakhmet, Madina Babazhanova, Matthias Gallé, Zhenisbek Assylbekov:
The Rediscovery Hypothesis: Language Models Need to Meet Linguistics. CoRR abs/2103.01819 (2021) - [i10]Maxat Tezekbayev, Vassilina Nikoulina, Matthias Gallé, Zhenisbek Assylbekov:
Speeding Up Entmax. CoRR abs/2111.06832 (2021) - 2020
- [j2]Malika Uteuliyeva, Abylay Zhumekenov, Rustem Takhanov
Fourier neural networks: A comparative study. Intell. Data Anal. 24(5): 1107-1120 (2020) - [c14]Aidana Karipbayeva, Alena Sorokina, Zhenisbek Assylbekov:
A Critique of the Smooth Inverse Frequency Sentence Embeddings (Student Abstract). AAAI 2020: 13835-13836 - [c13]Maxat Tezekbayev, Zhenisbek Assylbekov, Rustem Takhanov:
Semantics- and Syntax-Related Subvectors in the Skip-Gram Embeddings (Student Abstract). AAAI 2020: 13937-13938 - [c12]Zhenisbek Assylbekov
Squashed Shifted PMI Matrix: Bridging Word Embeddings and Hyperbolic Spaces. Australasian Conference on Artificial Intelligence 2020: 336-346 - [c11]Zhenisbek Assylbekov, Rustem Takhanov:
Context Vectors Are Reflections of Word Vectors in Half the Dimensions (Extended Abstract). IJCAI 2020: 5115-5119 - [i9]Zhenisbek Assylbekov, Alibi Jangeldin:
Binarized PMI Matrix: Bridging Word Embeddings and Hyperbolic Spaces. CoRR abs/2002.12005 (2020)
2010 – 2019
- 2019
- [j1]Zhenisbek Assylbekov
Context Vectors are Reflections of Word Vectors in Half the Dimensions. J. Artif. Intell. Res. 66: 225-242 (2019) - [c10]Alena Sorokina, Aidana Karipbayeva, Zhenisbek Assylbekov
Low-Rank Approximation of Matrices for PMI-Based Word Embeddings. CICLing (1) 2019: 86-94 - [c9]Bagdat Myrzakhmetov, Rustem Takhanov, Zhenisbek Assylbekov
Initial Explorations on Chaotic Behaviors of Recurrent Neural Networks. CICLing (1) 2019: 351-363 - [i8]Abylay Zhumekenov, Malika Uteuliyeva, Olzhas Kabdolov, Rustem Takhanov, Zhenisbek Assylbekov, Alejandro J. Castro:
Fourier Neural Networks: A Comparative Study. CoRR abs/1902.03011 (2019) - [i7]Zhenisbek Assylbekov, Rustem Takhanov:
Context Vectors are Reflections of Word Vectors in Half the Dimensions. CoRR abs/1902.09859 (2019) - [i6]Alena Sorokina, Aidana Karipbayeva, Zhenisbek Assylbekov:
Low-Rank Approximation of Matrices for PMI-based Word Embeddings. CoRR abs/1909.09855 (2019) - [i5]Aidana Karipbayeva, Alena Sorokina, Zhenisbek Assylbekov:
A Critique of the Smooth Inverse Frequency Sentence Embeddings. CoRR abs/1909.13494 (2019) - [i4]Maxat Tezekbayev, Zhenisbek Assylbekov, Rustem Takhanov
Semantics- and Syntax-related Subvectors in the Skip-gram Embeddings. CoRR abs/1912.13413 (2019) - 2018
- [c8]Olzhas Kabdolov, Zhenisbek Assylbekov, Rustem Takhanov:
Reproducing and Regularizing the SCRN Model. COLING 2018: 1705-1716 - [c7]Aibek Makazhanov, Bagdat Myrzakhmetov, Zhenisbek Assylbekov:
Manual vs Automatic Bitext Extraction. LREC 2018 - [c6]Zhenisbek Assylbekov, Rustem Takhanov:
Reusing Weights in Subword-Aware Neural Language Models. NAACL-HLT 2018: 1413-1423 - [i3]Zhenisbek Assylbekov, Rustem Takhanov:
Reusing Weights in Subword-aware Neural Language Models. CoRR abs/1802.08375 (2018) - 2017
- [c5]Alibi Jangeldin, Zhenisbek Assylbekov
Simple and Accurate Method for Parallel Web Pages Detection. ACIIDS (1) 2017: 238-247 - [c4]Zhenisbek Assylbekov
Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones. EMNLP 2017: 1866-1872 - [c3]Rustem Takhanov
Patterns Versus Characters in Subword-Aware Neural Language Modeling. ICONIP (2) 2017: 157-166 - [i2]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) - [i1]Rustem Takhanov, Zhenisbek Assylbekov:
Patterns versus Characters in Subword-aware Neural Language Modeling. CoRR abs/1709.00541 (2017) - 2016
- [c2]Zhenisbek Assylbekov
Detecting Value-Added Tax Evasion by Business Entities of Kazakhstan. KES-IDT (1) 2016: 37-49 - 2015
- [c1]Zhenisbek Assylbekov, Assulan Nurkas, Inês Russinho Mouga:
A Statistical Model for Measuring Structural Similarity between Webpages. RANLP 2015: 24-31
Coauthor Index
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