3 papers
cs.CV2025
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.…
cs.LG2025
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…
cs.CV2025
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…