4 papers
Med-CAM: Minimal Evidence for Explaining Medical Decision Making
Pirzada Suhail, Aditya Anand, Amit Sethi
Reliable and interpretable decision-making is essential in medical imaging, where diagnostic outcomes directly influence patient care. Despite advances in deep learning, most medic…
Activation Matching for Explanation Generation
Pirzada Suhail, Aditya Anand, Amit Sethi
In this paper we introduce an activation-matching--based approach to generate minimal, faithful explanations for the decision-making of a pretrained classifier on any given image.…
EXP-CAM: Explanation Generation and Circuit Discovery Using Classifier Activation Matching
Pirzada Suhail, Aditya Anand, Amit Sethi
Machine learning models, by virtue of training, learn a large repertoire of decision rules for any given input, and any one of these may suffice to justify a prediction. However, i…
A Surrogate Model for the Forward Design of Multi-layered Metasurface-based Radar Absorbing Structures
Vineetha Joy, Aditya Anand, Nidhi +3
Metasurface-based radar absorbing structures (RAS) are highly preferred for applications like stealth technology, electromagnetic (EM) shielding, etc. due to their capability to ac…