4 papers
Generalized Attention Flow: Feature Attribution for Transformer Models via Maximum Flow
Behrooz Azarkhalili, Maxwell Libbrecht
This paper introduces Generalized Attention Flow (GAF), a novel feature attribution method for Transformer-based models to address the limitations of current approaches. By extendi…
DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer Transcriptome
Behrooz Azarkhalili, Ali Saberi, Hamidreza Chitsaz +1
Despite great advances, molecular cancer pathology is often limited to the use of a small number of biomarkers rather than the whole transcriptome, partly due to computational chal…
Cell Identity Codes: Understanding Cell Identity from Gene Expression Profiles using Deep Neural Networks
Farzad Abdolhosseini, Behrooz Azarkhalili, Abbas Maazallahi +4
Understanding cell identity is an important task in many biomedical areas. Expression patterns of specific marker genes have been used to characterize some limited cell types, but…
A Compressive Sampling Approach To Adaptive Multi-Resolution Approximation of Differential Equations With Random Inputs
Behrooz Azarkhalili
In this paper, a novel method to adaptively approximate the solution to stochastic differential equations, which is based on compressive sampling and sparse recovery, is introduced…