5 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.LG2021
Reimagining GNN Explanations with ideas from Tabular Data
Anjali Singh, Shamanth R Nayak K, Balaji Ganesan
Explainability techniques for Graph Neural Networks still have a long way to go compared to explanations available for both neural and decision decision tree-based models trained o…
cs.CV2020
IS-CAM: Integrated Score-CAM for axiomatic-based explanations
Rakshit Naidu, Ankita Ghosh, Yash Maurya +2
Convolutional Neural Networks have been known as black-box models as humans cannot interpret their inner functionalities. With an attempt to make CNNs more interpretable and trustw…
gr-qc2020★ 5 cited
EinsteinPy: A Community Python Package for General Relativity
Shreyas Bapat, Ritwik Saha, Bhavya Bhatt +46
This paper presents EinsteinPy (version 0.3), a community-developed Python package for gravitational and relativistic astrophysics. Python is a free, easy to use a high-level progr…