ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification. - Kathan Kashiparekh; Jyoti Narwariya; Pankaj Malhotra; Lovekesh Vig; Gautam Shroff (IJCNN, 2019)

Meta-Learning for Black-Box Optimization. - Vishnu TV; Pankaj Malhotra; Jyoti Narwariya; Lovekesh Vig; Gautam Shroff (ECML/PKDD (2), 2019)

Meta-Learning for Few-Shot Time Series Classification. - Jyoti Narwariya; Pankaj Malhotra; Lovekesh Vig; Gautam Shroff; Vishnu TV (COMAD/CODS, 2020)

Graph Neural Networks for Leveraging Industrial Equipment Structure: An application to Remaining Useful Life Estimation. - Jyoti Narwariya; Pankaj Malhotra; Vishnu TV; Lovekesh Vig; Gautam Shroff (CoRR, 2020)

Handling Variable-Dimensional Time Series with Graph Neural Networks. - Vibhor Gupta; Jyoti Narwariya; 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)

Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions. - Vibhor Gupta; Jyoti Narwariya; Pankaj Malhotra; Lovekesh Vig; Gautam Shroff (ICDM, 2021)

Electricity Consumption Forecasting for Out-of-distribution Time-of-Use Tariffs. - Jyoti Narwariya; Chetan Verma; Pankaj Malhotra; Lovekesh Vig; Easwar Subramanian; Sanjay Bhat (CoRR, 2022)

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)