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ORCIDReza Ghane
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- 2026
[j3]Reza Ghane
, Anthony Bao, Danil Akhtiamov, Babak Hassibi:
Gaussian Universality for Diffusion Models. IEEE Signal Process. Lett. 33: 116-120 (2026)- [i12]Danil Akhtiamov, Reza Ghane, Omead Pooladzandi, Babak Hassibi:
Implicit Bias and Convergence of Matrix Stochastic Mirror Descent. CoRR abs/2602.18997 (2026) - [i11]Reza Ghane, Danil Akhtiamov, Babak Hassibi:
Dual Space Preconditioning for Gradient Descent in the Overparameterized Regime. CoRR abs/2603.10485 (2026) - [i10]Reza Ghane, Danil Akhtiamov, Babak Hassibi:
Precise Performance of Linear Denoisers in the Proportional Regime. CoRR abs/2603.18483 (2026) - 2025
- [j2]Danil Akhtiamov, David Bosch, Reza Ghane, Kanumuri Nithin Varma, Babak Hassibi:
A Novel Gaussian Min-Max Theorem and Its Applications. IEEE Trans. Inf. Theory 71(11): 8777-8797 (2025) - [j1]Reza Ghane, Danil Akhtiamov, Babak Hassibi:
One-Bit Quantization and Sparsification for Multiclass Linear Classification With Strong Regularization. IEEE Trans. Signal Process. 73: 3270-3285 (2025) - [c4]Babak Hassibi, Joudi Hajar, Reza Ghane:
Beyond Quadratic Costs in LQR: Bregman Divergence Control. CDC 2025: 1306-1313 - [c3]Joudi Hajar, Reza Ghane, Babak Hassibi:
Beyond Quadratic Costs: A Bregman Divergence Approach to H∞ Control. CDC 2025: 1761-1768 - [i9]Reza Ghane, Anthony Bao, Danil Akhtiamov, Babak Hassibi:
Concentration of Measure for Distributions Generated via Diffusion Models. CoRR abs/2501.07741 (2025) - [i8]Babak Hassibi, Joudi Hajar, Reza Ghane:
Beyond Quadratic Costs in LQR: Bregman Divergence Control. CoRR abs/2505.00317 (2025) - [i7]Joudi Hajar, Reza Ghane, Babak Hassibi:
Beyond Quadratic Costs: A Bregman Divergence Approach to H∞ Control. CoRR abs/2505.00319 (2025) - [i6]Danil Akhtiamov, Reza Ghane, Babak Hassibi:
A Precise Performance Analysis of the Randomized Singular Value Decomposition. CoRR abs/2510.06490 (2025) - [i5]Danil Akhtiamov, Reza Ghane, Babak Hassibi:
One-Bit Quantization for Random Features Models. CoRR abs/2510.16250 (2025) - 2024
- [c2]Danil Akhtiamov, Reza Ghane, Babak Hassibi:
Regularized Linear Regression for Binary Classification. ISIT 2024: 202-207 - [c1]Reza Ghane, Danil Akhtiamov, Babak Hassibi:
Universality in Transfer Learning for Linear Models. NeurIPS 2024 - [i4]Danil Akhtiamov, David Bosch, Reza Ghane, Kanumuri Nithin Varma, Babak Hassibi:
A Novel Gaussian Min-Max Theorem and its Applications. CoRR abs/2402.07356 (2024) - [i3]Reza Ghane, Danil Akhtiamov, Babak Hassibi:
One-Bit Quantization and Sparsification for Multiclass Linear Classification via Regularized Regression. CoRR abs/2402.10474 (2024) - [i2]Reza Ghane, Danil Akhtiamov, Babak Hassibi:
Universality in Transfer Learning for Linear Models. CoRR abs/2410.02164 (2024) - 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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