publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2024

  1. Preliminary Study of the Impact of AI-Based Interventions on Health and Behavioral Outcomes in Maternal Health Programs
    Arpan Dasgupta, Niclas Boehmer, Neha Madhiwalla, and 4 more authors
    AASG, Autonomous Agents and Multi-Agent Systems at AAMAS, 2024
  2. Bayesian Collaborative Bandits with Thompson Sampling for Improved Outreach in Maternal Health Program
    Arpan Dasgupta, Gagan Jain, Arun Suggala, and 3 more authors
    arXiv preprint arXiv:2410.21405, 2024

2023

  1. Explaining RL Decisions with Trajectories
    Shripad Vilasrao Deshmukh, Arpan Dasgupta, Balaji Krishnamurthy, and 4 more authors
    In The Eleventh International Conference on Learning Representations (ICLR), 2023
  2. Review of Extreme Multilabel Classification
    Arpan Dasgupta, Siddhant Katyan, Shrutimoy Das, and 1 more author
    arXiv preprint arXiv:2302.05971, 2023
  3. Light-weight deep extreme multilabel classification
    Arpan Dasgupta, Istasis Mishra, Pratik Jawanpuria, and 2 more authors
    In 2023 International Joint Conference on Neural Networks (IJCNN) \textbb[Best Paper Award], 2023
  4. Alpha Elimination: Using Deep Reinforcement Learning to Reduce Fill-In During Sparse Matrix Decomposition
    Arpan Dasgupta, and Pawan Kumar
    In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2023

2022

  1. Trajectory-based Explainability Framework for Offline RL
    Shripad Vilasrao Deshmukh, Arpan Dasgupta, Chirag Agarwal, and 4 more authors
    In 3rd Offline RL Workshop: Offline RL as a”Launchpad’, NeurIPS’, 2022