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20242026
most citedKoopcon: A new approach towards smarter and less complex learning

2 citations · 2 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2026

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…

cs.CV2026

Counterfactual Reasoning for Fine-Grained Evidence Disentanglement in VideoQA

Zhou Du, Hamid Krim, Xiao Wu +3

Recent advances in video multimodal models have significantly improved VideoQA performance. However, these systems often rely on spurious statistical correlations rather than answe…

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.LG2025

Boosting Adversarial Robustness and Generalization with Dictionary Structure

Zhichao Hou, Weizhi Gao, Hamid Krim +2

This work investigates a novel approach to boost adversarial robustness and generalization by incorporating structural prior into the design of deep learning models. Specifically,…

cs.LG2024

Robustness Reprogramming for Representation Learning

Zhichao Hou, MohamadAli Torkamani, Hamid Krim +1

This work tackles an intriguing and fundamental open challenge in representation learning: Given a well-trained deep learning model, can it be reprogrammed to enhance its robustnes…

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★ 2 cited

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…