Saeed Khorram

Saeed Khorram

Oregon State University

H-index: 5

North America-United States

About Saeed Khorram

Saeed Khorram, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Oregon State University, specializes in the field of Generative Models, Long-tail Learning, Explainable AI.

His recent articles reflect a diverse array of research interests and contributions to the field:

Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions

Generative Models Meet Explainable AI and Long-Tail Learning: from Attribution Maps to Image Synthesis

Diverse Explanations for Object Detectors with Nesterov-Accelerated iGOS+

Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods

Examining the Difference Among Transformers and CNNs with Explanation Methods

Cycle-consistent counterfactuals by latent transformations

From heatmaps to structured explanations of image classifiers

Re-understanding finite-state representations of recurrent policy networks

Saeed Khorram Information

University

Position

___

Citations(all)

191

Citations(since 2020)

183

Cited By

39

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Saeed Khorram Skills & Research Interests

Generative Models

Long-tail Learning

Explainable AI

Top articles of Saeed Khorram

Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions

arXiv preprint arXiv:2402.17065

2024/2/26

Saeed Khorram
Saeed Khorram

H-Index: 3

Generative Models Meet Explainable AI and Long-Tail Learning: from Attribution Maps to Image Synthesis

2023/5/18

Saeed Khorram
Saeed Khorram

H-Index: 3

Diverse Explanations for Object Detectors with Nesterov-Accelerated iGOS+

2023

Saeed Khorram
Saeed Khorram

H-Index: 3

Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods

arXiv preprint arXiv:2212.06872

2022/12/13

Saeed Khorram
Saeed Khorram

H-Index: 3

Examining the Difference Among Transformers and CNNs with Explanation Methods

arXiv preprint arXiv:2212.06872

2022/12/13

Saeed Khorram
Saeed Khorram

H-Index: 3

Cycle-consistent counterfactuals by latent transformations

2022

Saeed Khorram
Saeed Khorram

H-Index: 3

From heatmaps to structured explanations of image classifiers

Applied AI Letters

2021/12

Re-understanding finite-state representations of recurrent policy networks

2021/7/1

Stochastic block-admm for training deep networks

arXiv preprint arXiv:2105.00339

2021/5/1

Saeed Khorram
Saeed Khorram

H-Index: 3

Xiao Fu
Xiao Fu

H-Index: 21

iGOS++ integrated gradient optimized saliency by bilateral perturbations

2021/4/8

Saeed Khorram
Saeed Khorram

H-Index: 3

Tyler Lawson
Tyler Lawson

H-Index: 11

Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization

2020

Saeed Khorram
Saeed Khorram

H-Index: 3

Embedding deep networks into visual explanations

Artificial Intelligence

2020/12/2

Saeed Khorram
Saeed Khorram

H-Index: 3

See List of Professors in Saeed Khorram University(Oregon State University)

Co-Authors

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