5 citations · 5 across the 1 of their papers we have counts for
4 papers
Information-theoretic Evolution of Model Agnostic Global Explanations
Sukriti Verma, Nikaash Puri, Piyush Gupta +1
Explaining the behavior of black box machine learning models through human interpretable rules is an important research area. Recent work has focused on explaining model behavior l…
MixBoost: Synthetic Oversampling with Boosted Mixup for Handling Extreme Imbalance
Anubha Kabra, Ayush Chopra, Nikaash Puri +4
Training a classification model on a dataset where the instances of one class outnumber those of the other class is a challenging problem. Such imbalanced datasets are standard in…
Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution
Nikaash Puri, Sukriti Verma, Piyush Gupta +4
As deep reinforcement learning (RL) is applied to more tasks, there is a need to visualize and understand the behavior of learned agents. Saliency maps explain agent behavior by hi…
OpticalGAN : Generative Adversarial Networks for Continuous Variable Quantum Computation
Nilay Shrivastava, Nikaash Puri, Piyush Gupta +2
We present OpticalGAN, an extension of quantum generative adversarial networks for continuous-variable quantum computation. OpticalGAN consists of photonic variational circuits com…