3 papers
cs.LG2020
Effect of Input Noise Dimension in GANs
Manisha Padala, Debojit Das, Sujit Gujar
Generative Adversarial Networks (GANs) are by far the most successful generative models. Learning the transformation which maps a low dimensional input noise to the data distributi…
cs.LG2018
FNNC: Achieving Fairness through Neural Networks
Padala Manisha, Sujit Gujar
In classification models fairness can be ensured by solving a constrained optimization problem. We focus on fairness constraints like Disparate Impact, Demographic Parity, and Equa…
cs.GT2018
Learning Optimal Redistribution Mechanisms through Neural Networks
P Manisha, C V Jawahar, Sujit Gujar
We consider a setting where public resources are to be allocated among competing and strategic agents so as to maximize social welfare (the objects should be allocated to t…