About me
I am a fourth year Ph.D student of Electrical Engineering at Caltech where I am grateful to be advised by Babak Hassibi. I am interested in the theory of deep learning, random matrix theory, control theory, and signal processing.
I received my M.Sc degree in Electrical Engineering from California Institute of Technology in 2024 and my B.Sc in Electrical Engineering and Mathematics from Sharif University of Technology in 2022.
Publications
- One-Bit Quantization for Random Features Models
Danil Akhtiamov*, Reza Ghane*, and Babak Hassibi
Under review
[Arxiv] - A Precise Performance Analysis of the Randomized Singular Value Decomposition
Danil Akhtiamov*, Reza Ghane*, and Babak Hassibi
2025 Allerton Conference on Communication, Control, and Computing
[Arxiv] - Beyond Quadratic Costs: A Bregman Divergence Approach to H∞ Control
Joudi Hajar, Reza Ghane, and Babak Hassibi
64th IEEE Conference on Decision and Control (CDC 2025)
[Arxiv] - Beyond Quadratic Costs in LQR: Bregman Divergence Control
Babak Hassibi, Joudi Hajar, and Reza Ghane
64th IEEE Conference on Decision and Control (CDC 2025)
[Arxiv] - Robust Mean Estimation With Auxiliary Samples
Barron Han*, Danil Akhtiamov*, Reza Ghane*, and Babak Hassibi
[Arxiv] - Gaussian Universality for Diffusion Models
Reza Ghane*, Anthony Bao*, Danil Akhtiamov*, and Babak Hassibi
IEEE Signal Processing Letters [Arxiv] - Universality in Transfer Learning for Linear Models
Reza Ghane*, Danil Akhtiamov*, and Babak Hassibi
Neural Information Processing Systems (NeurIPS) 2024
[Arxiv] - One-Bit Quantization and Sparsification for Multiclass Linear Classification via Regularized Regression
Reza Ghane*, Danil Akhtiamov*, and Babak Hassibi
IEEE Transactions on Signal Processing (2025)
[IEEE], [Arxiv] - A Novel Gaussian Min-Max Theorem and its Applications
Danil Akhtiamov*, David Bosch*, Reza Ghane*, K Nithin Varma, and Babak Hassibi
IEEE Transactions on Information Theory (2025).
[IEEE], [Arxiv] - Regularized Linear Regression for Binary Classification
Danil Akhtiamov*, Reza Ghane*, and Babak Hassibi
2024 IEEE International Symposium on Information Theory (ISIT) (pp. 202-207)
[ISIT], [Arxiv]
