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Journal Articles
- 2021
[j1]Nicky Mouha, Nikolay Kolomeec, Danil Akhtiamov, Ivan Sutormin, Matvey Panferov, Kseniya Titova, Tatiana Bonich, Evgeniya Ishchukova, Natalia N. Tokareva, Bulat Zhantulikov:
Maximums of the Additive Differential Probability of Exclusive-Or. IACR Trans. Symmetric Cryptol. 2021(2): 292-313 (2021)
Conference and Workshop Papers
- 2024
- [c2]Danil Akhtiamov, Reza Ghane, Babak Hassibi:
Regularized Linear Regression for Binary Classification. ISIT 2024: 202-207 - 2022
- [c1]Danil Akhtiamov, Matt Thomson:
Connectedness of loss landscapes via the lens of Morse theory. NeurReps 2022: 171-181
Informal and Other Publications
- 2024
- [i5]Danil Akhtiamov, David Bosch, Reza Ghane, K. Nithin Varma, Babak Hassibi:
A Novel Gaussian Min-Max Theorem and its Applications. CoRR abs/2402.07356 (2024) - [i4]Reza Ghane, Danil Akhtiamov, Babak Hassibi:
One-Bit Quantization and Sparsification for Multiclass Linear Classification via Regularized Regression. CoRR abs/2402.10474 (2024) - [i3]Reza Ghane, Danil Akhtiamov, Babak Hassibi:
Universality in Transfer Learning for Linear Models. CoRR abs/2410.02164 (2024) - 2023
- [i2]Danil Akhtiamov, Babak Hassibi:
The Generalization Error of Stochastic Mirror Descent on Over-Parametrized Linear Models. CoRR abs/2302.09433 (2023) - [i1]Danil Akhtiamov, Reza Ghane, Babak Hassibi:
Regularized Linear Regression for Binary Classification. CoRR abs/2311.02270 (2023)
Coauthor Index
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