55 citations · 74 across the 13 of their papers we have counts for
4 papers · 1 filter
DAGSurv: Directed Acyclic Graph Based Survival Analysis Using Deep Neural Networks
Ansh Kumar Sharma, Rahul Kukreja, Ranjitha Prasad +1
Causal structures for observational survival data provide crucial information regarding the relationships between covariates and time-to-event. We derive motivation from the inform…
Select Wisely and Explain: Active Learning and Probabilistic Local Post-hoc Explainability
Aditya Saini, Ranjitha Prasad
Albeit the tremendous performance improvements in designing complex artificial intelligence (AI) systems in data-intensive domains, the black-box nature of these systems leads to t…
Path-Aware OMP Algorithms for Provenance Recovery in Wireless Networks
Shilpi Mishra, J. Harshan, Ranjitha Prasad
Low-latency provenance embedding methods have received traction in vehicular networks for their ability to track the footprint of information flow. One such known method is based o…
B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic Meta-Learning
Anish Madan, Ranjitha Prasad
There is a growing interest in the learning-to-learn paradigm, also known as meta-learning, where models infer on new tasks using a few training examples. Recently, meta-learning b…