6 citations · 6 across the 3 of their papers we have counts for
4 papers
Differentiable Multi-Target Causal Bayesian Experimental Design
Yashas Annadani, Panagiotis Tigas, Desi R. Ivanova +4
We introduce a gradient-based approach for the problem of Bayesian optimal experimental design to learn causal models in a batch setting -- a critical component for causal discover…
Latent Variable Models for Bayesian Causal Discovery
Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth +3
Learning predictors that do not rely on spurious correlations involves building causal representations. However, learning such a representation is very challenging. We, therefore,…
Selfie Detection by Synergy-Constraint Based Convolutional Neural Network
Yashas Annadani, Vijayakrishna Naganoor, Akshay Kumar Jagadish +1
Categorisation of huge amount of data on the multimedia platform is a crucial task. In this work, we propose a novel approach to address the subtle problem of selfie detection for…
Sliding Dictionary Based Sparse Representation For Action Recognition
Yashas Annadani, D L Rakshith, Soma Biswas
The task of action recognition has been in the forefront of research, given its applications in gaming, surveillance and health care. In this work, we propose a simple, yet very ef…