Danil Akhtiamov

18 papers A* 1B 1Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dual Space Preconditioning for Gradient Descent in the Overparameterized Regime. CoRR Reza Ghane, Danil Akhtiamov, Babak Hassibi
2026	J	`jnl`	Gaussian Universality for Diffusion Models. IEEE Signal Process. Lett. Reza Ghane, Anthony Bao, Danil Akhtiamov, Babak Hassibi
2026	J	`jnl`	Implicit Bias and Convergence of Matrix Stochastic Mirror Descent. CoRR Danil Akhtiamov, Reza Ghane, Omead Pooladzandi, Babak Hassibi
2026	J	`jnl`	Precise Performance of Linear Denoisers in the Proportional Regime. CoRR Reza Ghane, Danil Akhtiamov, Babak Hassibi
2025	J	`jnl`	A Novel Gaussian Min-Max Theorem and Its Applications. IEEE Trans. Inf. Theory Danil Akhtiamov, David Bosch, Reza Ghane, Kanumuri Nithin Varma, Babak Hassibi
2025	J	`jnl`	A Precise Performance Analysis of the Randomized Singular Value Decomposition. CoRR Danil Akhtiamov, Reza Ghane, Babak Hassibi
2025	J	`jnl`	Concentration of Measure for Distributions Generated via Diffusion Models. CoRR Reza Ghane, Anthony Bao, Danil Akhtiamov, Babak Hassibi
2025	J	`jnl`	One-Bit Quantization and Sparsification for Multiclass Linear Classification With Strong Regularization. IEEE Trans. Signal Process. Reza Ghane, Danil Akhtiamov, Babak Hassibi
2025	J	`jnl`	One-Bit Quantization for Random Features Models. CoRR Danil Akhtiamov, Reza Ghane, Babak Hassibi
2024	J	`jnl`	A Novel Gaussian Min-Max Theorem and its Applications. CoRR Danil Akhtiamov, David Bosch, Reza Ghane, Kanumuri Nithin Varma, Babak Hassibi
2024	J	`jnl`	One-Bit Quantization and Sparsification for Multiclass Linear Classification via Regularized Regression. CoRR Reza Ghane, Danil Akhtiamov, Babak Hassibi
2024	B	`conf`	Regularized Linear Regression for Binary Classification. ISIT Danil Akhtiamov, Reza Ghane, Babak Hassibi
2024	A*	`conf`	Universality in Transfer Learning for Linear Models. NeurIPS Reza Ghane, Danil Akhtiamov, Babak Hassibi
2024	J	`jnl`	Universality in Transfer Learning for Linear Models. CoRR Reza Ghane, Danil Akhtiamov, Babak Hassibi
2023	J	`jnl`	Regularized Linear Regression for Binary Classification. CoRR Danil Akhtiamov, Reza Ghane, Babak Hassibi
2023	J	`jnl`	The Generalization Error of Stochastic Mirror Descent on Over-Parametrized Linear Models. CoRR Danil Akhtiamov, Babak Hassibi
2022	—	`conf`	Connectedness of loss landscapes via the lens of Morse theory. NeurReps Danil Akhtiamov, Matt Thomson
2021	J	`jnl`	Maximums of the Additive Differential Probability of Exclusive-Or. IACR Trans. Symmetric Cryptol. Nicky Mouha, Nikolay Kolomeec, Danil Akhtiamov, Ivan Sutormin, Matvey Panferov, Kseniya Titova, Tatiana Bonich, Evgeniya Ishchukova, Natalia N. Tokareva, Bulat Zhantulikov