1 code implementation • 28 Jun 2023 • Sukriti Verma, Ayush Chopra, Jayakumar Subramanian, Mausoom Sarkar, Nikaash Puri, Piyush Gupta, Balaji Krishnamurthy
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 since the critic learns faster than the actor, it ensures eventual consistency between the two.
no code implementations • 12 Sep 2022 • Piyush Gupta, Vaibhav Srivastava
During exploration, DSEE explores the environment and updates the estimates for expected reward and transition probabilities.
no code implementations • 14 May 2021 • Sukriti Verma, Nikaash Puri, Piyush Gupta, Balaji Krishnamurthy
Our approach builds on top of existing local model explanation methods to extract conditions important for explaining model behavior for specific instances followed by an evolutionary algorithm that optimizes an information theory based fitness function to construct rules that explain global model behavior.
no code implementations • 3 Sep 2020 • Anubha Kabra, Ayush Chopra, Nikaash Puri, Pinkesh Badjatiya, Sukriti Verma, Piyush Gupta, Balaji K
Training a classification model on a dataset where the instances of one class outnumber those of the other class is a challenging problem.
no code implementations • 24 Jun 2020 • Surgan Jandial, Ayush Chopra, Mausoom Sarkar, Piyush Gupta, Balaji Krishnamurthy, Vineeth Balasubramanian
Deep neural networks (DNNs) are powerful learning machines that have enabled breakthroughs in several domains.
1 code implementation • ICLR 2020 • Piyush Gupta, Nikaash Puri, Sukriti Verma, Dhruv Kayastha, Shripad Deshmukh, Balaji Krishnamurthy, Sameer Singh
We show through illustrative examples (Chess, Atari, Go), human studies (Chess), and automated evaluation methods (Chess) that our approach generates saliency maps that are more interpretable for humans than existing approaches.
1 code implementation • 24 Mar 2020 • Piyush Gupta, Demetris Coleman, Joshua E. Siegel
Automated vehicles' neural networks suffer from overfit, poor generalizability, and untrained edge cases due to limited data availability.
no code implementations • 15 Jan 2020 • Nupur Kumari, Siddarth R., Akash Rupela, Piyush Gupta, Balaji Krishnamurthy
This graph captures the structural characteristics of the point cloud, and its weights are determined using a Finite Markov Chain.
2 code implementations • 23 Dec 2019 • Nikaash Puri, Sukriti Verma, Piyush Gupta, Dhruv Kayastha, Shripad Deshmukh, Balaji Krishnamurthy, Sameer Singh
We show through illustrative examples (Chess, Atari, Go), human studies (Chess), and automated evaluation methods (Chess) that SARFA generates saliency maps that are more interpretable for humans than existing approaches.
no code implementations • 22 Jun 2017 • Nikaash Puri, Piyush Gupta, Pratiksha Agarwal, Sukriti Verma, Balaji Krishnamurthy
Explaining the behavior of a black box machine learning model at the instance level is useful for building trust.