activity
20092026
most citedStatistical Performance Analysis of MDL Source Enumeration in Array Processing

79 citations · 276 across the 27 of their papers we have counts for

collaborators

32 papers

cs.CL2026

Manifold Projection and Iterative Autoencoder Refinement for Masked Language Modeling

Narges Mokhtari, Farzan Haddadi, Ebrahim Rezaii

In Transformer-based masked language models, attention is the primary mechanism for context mixing, but there are other ways to mix data across tokens. Recent attention-free mixers…

cs.AI2026

Denoising Diffusion Generative Models Secretly Calculate Attentions

Farzan Haddadi, Leila Monfared, Ebrahim Rezaii +3

Denoising diffusion models are the dominant architecture for image generation, whereas most natural language generation and modeling are primarily handled by well-known transformer…

quant-ph2025

Hybrid Quantum-Classical Selective State Space Artificial Intelligence

Amin Ebrahimi, Farzan Haddadi

Hybrid Quantum Classical (HQC) algorithms constitute one of the most effective paradigms for exploiting the computational advantages of quantum systems in large-scale numerical tas…

cs.IT2025

L2T-Hyena: Enhancing State-Space Models with an Adaptive Learn-to-Teach Framework

Fatemeh Sohbati, Farzan Haddadi, Hamid Salahinejad

State-space models (SSMs) have recently emerged as efficient alternatives to computationally intensive architectures such as Transformers for sequence modeling. However, their trai…

cs.IT2024

Matrix Completion via Nonsmooth Regularization of Fully Connected Neural Networks

Sajad Faramarzi, Farzan Haddadi, Sajjad Amini +2

Conventional matrix completion methods approximate the missing values by assuming the matrix to be low-rank, which leads to a linear approximation of missing values. It has been sh…

cs.IT2020★ 10 cited

Blind Two-Dimensional Super Resolution in Multiple Input Single Output Linear Systems

Shahedeh Sayyari, Sajad Daei, Farzan Haddadi

In this paper, we consider a multiple-input single-output (MISO) linear time-varying system whose output is a superposition of scaled and time-frequency shifted versions of inputs.…