Amir Akbarnejad

According to our database, Amir Akbarnejad authored at least 9 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Many Needles in a Haystack: Active Hit Discovery for Perturbation Experiments.

Andrea Rubbi, Arpit Merchant, Samuel Ogden, Amir Akbarnejad, Pietro Liò, Sattar Vakili, Mohammad Lotfollahi

CoRR, May, 2026

MixFlow: Mixture-Conditioned Flow Matching for Out-of-Distribution Generalization.

Andrea Rubbi, Amir Akbarnejad, Mohammad V. Sanian, Aryan Yazdan Parast, Hesam Asadollahzadeh, Arian Amani, Naveed Akhtar, Sarah Cooper, Andrew Bassett, Pietro Liò, Lassi Paavolainen, Sattar Vakili, Mohammad Lotfollahi

CoRR, January, 2026

2023

Predicting Ki67, ER, PR, and HER2 Statuses from H&E-stained Breast Cancer Images.

Amir Akbarnejad, Nilanjan Ray, Penny J. Barnes, Gilbert Bigras

CoRR, 2023

GPEX, A Framework For Interpreting Artificial Neural Networks.

Amir Akbarnejad, Gilbert Bigras, Nilanjan Ray

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Closer Look at Weak Supervision's Limitations in WSI Recurrence Score Prediction.

Namitha Guruprasad, Penny J. Barnes, Amir Akbarnejad, Gilbert Bigras, Nilanjan Ray

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2021

Deep Fisher Vector Coding For Whole Slide Image Classification.

Amir Akbarnejad, Nilanjan Ray, Gilbert Bigras

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Adversarial Attacks on Graph Neural Networks: Perturbations and their Patterns.

Daniel Zügner, Oliver Borchert, Amir Akbarnejad, Stephan Günnemann

ACM Trans. Knowl. Discov. Data, 2020

2019

Adversarial Attacks on Graph Neural Networks.

Daniel Zügner, Amir Akbarnejad, Stephan Günnemann

Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019

2018

Adversarial Attacks on Neural Networks for Graph Data.

Daniel Zügner, Amir Akbarnejad, Stephan Günnemann

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018