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cs.LG2025
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…
cs.LG2024
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…
cs.LG2024
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…