11 citations · 23 across the 7 of their papers we have counts for
7 papers
TabNSM: Neural Sparse Mixer for Tabular Regression
Ali Eslamian, Qiang Cheng
Large-scale, high-dimensional tabular regression remains challenging: tree-based models are robust but lack end-to-end representation learning, while deep models enable flexible fe…
Predicting When Random Low-Dimensional Reparameterizations Train Neural Networks
Andrew Cheng, Ali Eslamian, Jie Cheng +2
Neural networks can often be trained or fine-tuned through random low-dimensional reparameterization, where a small latent vector is mapped into a full parameter update by a frozen…
TabKAN: Advancing Tabular Data Analysis using Kolmogorov-Arnold Network
Ali Eslamian, Alireza Afzal Aghaei, Qiang Cheng
Tabular data analysis presents unique challenges that arise from heterogeneous feature types, missing values, and complex feature interactions. While traditional machine learning m…
TabNSA: Native Sparse Attention for Efficient Tabular Data Learning
Ali Eslamian, Qiang Cheng
Tabular data poses unique challenges for deep learning due to its heterogeneous feature types, lack of spatial structure, and often limited sample sizes. We propose TabNSA, a novel…
Evaluating Deep Learning Models for Breast Cancer Classification: A Comparative Study
Sania Eskandari, Ali Eslamian, Nusrat Munia +2
This study evaluates the effectiveness of deep learning models in classifying histopathological images for early and accurate detection of breast cancer. Eight advanced models, inc…
Enhanced Unscented Kalman Filter-Based SLAM in Dynamic Environments: Euclidean Approach
Masoud Dorvash, Ali Eslamian, Mohammad Reza Ahmadzadeh
This paper introduces an innovative approach to Simultaneous Localization and Mapping (SLAM) using the Unscented Kalman Filter (UKF) in a dynamic environment. The UKF is proven to…
Det-SLAM: A semantic visual SLAM for highly dynamic scenes using Detectron2
Ali Eslamian, Mohammad R. Ahmadzadeh
According to experts, Simultaneous Localization and Mapping (SLAM) is an intrinsic part of autonomous robotic systems. Several SLAM systems with impressive performance have been in…