Maxat Tezekbayev

According to our database1, Maxat Tezekbayev authored at least 9 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Autoencoders for a manifold learning problem with a jacobian rank constraint.
Pattern Recognit., November, 2023

Gradient Descent Fails to Learn High-frequency Functions and Modular Arithmetic.
CoRR, 2023

Long-Tail Theory Under Gaussian Mixtures.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Intractability of Learning the Discrete Logarithm with Gradient-Based Methods.
Proceedings of the Asian Conference on Machine Learning, 2023

2022
Speeding Up Entmax.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

2021
The Rediscovery Hypothesis: Language Models Need to Meet Linguistics.
J. Artif. Intell. Res., 2021

Geometric Probing of Word Vectors.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020
Semantics- and Syntax-Related Subvectors in the Skip-Gram Embeddings (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Semantics- and Syntax-related Subvectors in the Skip-gram Embeddings.
CoRR, 2019


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