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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.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…
cs.CV2024
Network Inversion for Training-Like Data Reconstruction
Pirzada Suhail, Amit Sethi
Machine Learning models are often trained on proprietary and private data that cannot be shared, though the trained models themselves are distributed openly assuming that sharing m…