39 citations · 78 across the 6 of their papers we have counts for
7 papers
SARC: Soft Actor Retrospective Critic
Sukriti Verma, Ayush Chopra, Jayakumar Subramanian +4
The two-time scale nature of SAC, which is an actor-critic algorithm, is characterised by the fact that the critic estimate has not converged for the actor at any given time, but s…
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…
Extractive Summarization using Deep Learning
Sukriti Verma, Vagisha Nidhi
This paper proposes a text summarization approach for factual reports using a deep learning model. This approach consists of three phases: feature extraction, feature enhancement,…
MAGIX: Model Agnostic Globally Interpretable Explanations
Nikaash Puri, Piyush Gupta, Pratiksha Agarwal +2
Explaining the behavior of a black box machine learning model at the instance level is useful for building trust. However, it is also important to understand how the model behaves…