Amir Akbarnejad

11 papers A* 3Journal 5Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MixFlow: Mixture-Conditioned Flow Matching for Out-of-Distribution Generalization. CoRR 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
2023	—	`conf`	A Closer Look at Weak Supervision's Limitations in WSI Recurrence Score Prediction. BIBM Namitha Guruprasad, Penny J. Barnes, Amir Akbarnejad, Gilbert Bigras, Nilanjan Ray
2023	A*	`conf`	GPEX, A Framework For Interpreting Artificial Neural Networks. NeurIPS Amir Akbarnejad, Gilbert Bigras, Nilanjan Ray
2023	J	`jnl`	Predicting Ki67, ER, PR, and HER2 Statuses from H&E-stained Breast Cancer Images. CoRR Amir Akbarnejad, Nilanjan Ray, Penny J. Barnes, Gilbert Bigras
2021	—	`conf`	Deep Fisher Vector Coding For Whole Slide Image Classification. ISBI Amir Akbarnejad, Nilanjan Ray, Gilbert Bigras
2021	J	`jnl`	GPEX, A Framework For Interpreting Artificial Neural Networks. CoRR Amir Akbarnejad, Gilbert Bigras, Nilanjan Ray
2020	J	`jnl`	Adversarial Attacks on Graph Neural Networks: Perturbations and their Patterns. ACM Trans. Knowl. Discov. Data Daniel Zügner, Oliver Borchert, Amir Akbarnejad, Stephan Günnemann
2019	—	`conf`	Adversarial Attacks on Graph Neural Networks. GI-Jahrestagung Daniel Zügner, Amir Akbarnejad, Stephan Günnemann
2019	A*	`conf`	Adversarial Attacks on Neural Networks for Graph Data. IJCAI Daniel Zügner, Amir Akbarnejad, Stephan Günnemann
2018	A*	`conf`	Adversarial Attacks on Neural Networks for Graph Data. KDD Daniel Zügner, Amir Akbarnejad, Stephan Günnemann
2018	J	`jnl`	Adversarial Attacks on Neural Networks for Graph Data. CoRR Daniel Zügner, Amir Akbarnejad, Stephan Günnemann