2 citations · 2 across the 3 of their papers we have counts for
4 papers
Robust Explanatory Analysis for Structured Optimization Networks (REASON) in Learning
Vahid Jebraeeli, Hamid Krim, Keisuke Fujii
We seek a hierarchical resolution of residual error under a composite learning objective as a principled mechanism for identifying and exploiting additional information, particular…
ViTCAE: ViT-based Class-conditioned Autoencoder
Vahid Jebraeeli, Hamid Krim, Derya Cansever
Vision Transformer (ViT) based autoencoders often underutilize the global Class token and employ static attention mechanisms, limiting both generative control and optimization effi…
Generative Expansion of Small Datasets: An Expansive Graph Approach
Vahid Jebraeeli, Bo Jiang, Hamid Krim +1
Limited data availability in machine learning significantly impacts performance and generalization. Traditional augmentation methods enhance moderately sufficient datasets. GANs st…
Koopcon: A new approach towards smarter and less complex learning
Vahid Jebraeeli, Bo Jiang, Derya Cansever +1
In the era of big data, the sheer volume and complexity of datasets pose significant challenges in machine learning, particularly in image processing tasks. This paper introduces a…