Towards Learning and Explaining Indirect Causal Effects in Neural Networks

no code implementations • 24 Mar 2023 • Abbavaram Gowtham Reddy, Saketh Bachu, Harsharaj Pathak, Benin L Godfrey, Vineeth N. Balasubramanian, Varshaneya V, Satya Narayanan Kar

Recently, there has been a growing interest in learning and explaining causal effects within Neural Network (NN) models.

Teaching GANs to Sketch in Vector Format

no code implementations • 7 Apr 2019 • Varshaneya V, S. Balasubramanian, Vineeth N. Balasubramanian

In this paper, we propose a standalone GAN architecture SkeGAN and a VAE-GAN architecture VASkeGAN, for sketch generation in vector format.

Generative Adversarial Network Reinforcement Learning (RL)

RES-SE-NET: Boosting Performance of Resnets by Enhancing Bridge-connections

5 code implementations • 16 Feb 2019 • Varshaneya V, Balasubramanian S, Darshan Gera

This reduction is due to lack of contribution, in the form of feature maps, by the bridge-connections.