Parth Padalkar

According to our database, Parth Padalkar authored at least 13 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Neurosymbolic Framework for Bias Correction in CNNs.

Parth Padalkar, Natalia Slusarz, Ekaterina Komendantskaya, Gopal Gupta

CoRR, 2024

Automated Interactive Domain-Specific Conversational Agents that Understand Human Dialogs.

Yankai Zeng, Abhiramon Rajasekharan, Parth Padalkar, Kinjal Basu, Joaquín Arias, Gopal Gupta

Proceedings of the Practical Aspects of Declarative Languages, 2024

Using Logic Programming and Kernel-Grouping for Improving Interpretability of Convolutional Neural Networks.

Parth Padalkar, Huaduo Wang, Gopal Gupta

Proceedings of the Practical Aspects of Declarative Languages, 2024

A Neurosymbolic Framework for Bias Correction in Convolutional Neural Networks.

Parth Padalkar, Natalia Slusarz, Ekaterina Komendantskaya, Gopal Gupta

Proceedings of the Workshop Proceedings of the 40th International Conference on Logic Programming (ICLP-WS 2024) co-located with the 40th International Conference on Logic Programming (ICLP 2024), 2024

NeSyFOLD: A Framework for Interpretable Image Classification.

Parth Padalkar, Huaduo Wang, Gopal Gupta

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Logic-Based Explainable and Incremental Machine Learning.

Gopal Gupta, Huaduo Wang, Kinjal Basu, Farhad Shakerin, Elmer Salazar, Sarat Chandra Varanasi, Parth Padalkar, Sopam Dasgupta

Proceedings of the Prolog: The Next 50 Years, 2023

Prolog: Past, Present, and Future.

Gopal Gupta, Elmer Salazar, Farhad Shakerin, Joaquín Arias, Sarat Chandra Varanasi, Kinjal Basu, Huaduo Wang, Fang Li, Serdar Erbatur, Parth Padalkar, Abhiramon Rajasekharan, Yankai Zeng, Manuel Carro

Proceedings of the Prolog: The Next 50 Years, 2023

Using Logic Programming and Kernel-Grouping for Improving Interpretability of Convolutional Neural Networks.

Parth Padalkar, Gopal Gupta

CoRR, 2023

MACOptions: Multi-Agent Learning with Centralized Controller and Options Framework.

Alakh Aggarwal, Rishita Bansal, Parth Padalkar, Sriraam Natarajan

CoRR, 2023

Reliable Natural Language Understanding with Large Language Models and Answer Set Programming.

Abhiramon Rajasekharan, Yankai Zeng, Parth Padalkar, Gopal Gupta

Proceedings of the Proceedings 39th International Conference on Logic Programming, 2023

NeSyFOLD: A System for Generating Logic-based Explanations from Convolutional Neural Networks.

Parth Padalkar, Huaduo Wang, Gopal Gupta

CoRR, 2023

NeSyFOLD: Extracting Logic Programs from Convolutional Neural Networks.

Parth Padalkar, Huaduo Wang, Gopal Gupta

Proceedings of the International Conference on Logic Programming 2023 Workshops co-located with the 39th International Conference on Logic Programming (ICLP 2023), 2023

2022

Symbolic Reinforcement Learning Framework with Incremental Learning of Rule-based Policy.

Kinjal Basu, Elmer Salazar, Huaduo Wang, Joaquín Arias, Parth Padalkar, Gopal Gupta

Proceedings of the International Conference on Logic Programming 2022 Workshops co-located with the 38th International Conference on Logic Programming (ICLP 2022), Haifa, Israel, July 31st, 2022