Using Features From Pre-trained TimeNET For Clinical Predictions. - Priyanka Gupta 003; Pankaj Malhotra; Lovekesh Vig; Gautam Shroff (KDH@IJCAI, 2018)

Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks. - Priyanka Gupta 003; Pankaj Malhotra; Lovekesh Vig; Gautam Shroff (CoRR, 2018)

Sequence and Time Aware Neighborhood for Session-based Recommendations: STAN. - Diksha Garg; Priyanka Gupta 003; Pankaj Malhotra; Lovekesh Vig; Gautam Shroff (SIGIR, 2019)

NISER: Normalized Item and Session Representations with Graph Neural Networks. - Priyanka Gupta 003; Diksha Garg; Pankaj Malhotra; Lovekesh Vig; Gautam Shroff (CoRR, 2019)

Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation. - Diksha Garg; Priyanka Gupta 003; Pankaj Malhotra; Lovekesh Vig; Gautam Shroff (CoRR, 2020)

Transfer Learning for Clinical Time Series Analysis Using Deep Neural Networks. - Priyanka Gupta 003; Pankaj Malhotra; Jyoti Narwariya; Lovekesh Vig; Gautam Shroff (J. Heal. Informatics Res., 2020)

CauSeR: Causal Session-based Recommendations for Handling Popularity Bias. - Priyanka Gupta 003; Ankit Sharma; Pankaj Malhotra; Lovekesh Vig; Gautam Shroff (CIKM, 2021)

X4SR: Post-Hoc Explanations for Session-based Recommendations. - Jyoti Narwariya; Priyanka Gupta 003; Garima Gupta; Lovekesh Vig; Gautam Shroff (eCom@SIGIR, 2023)

SCM4SR: Structural Causal Model-based Data Augmentation for Robust Session-based Recommendation. - Muskan Gupta; Priyanka Gupta 003; Jyoti Narwariya; Lovekesh Vig; Gautam Shroff (SIGIR, 2024)

Guided Diffusion-based Counterfactual Augmentation for Robust Session-based Recommendation. - Muskan Gupta; Priyanka Gupta 003; Lovekesh Vig (CoRR, 2024)