An Autoencoder Based Approach to Simulate Sports Games. - Ashwin Vaswani; Rijul Ganguly; Het Shah; Sharan Ranjit S; Shrey Pandit; Samruddhi Bothara (MLSA@PKDD/ECML, 2020)

Towards Trainable Saliency Maps in Medical Imaging. - Mehak Aggarwal; Nishanth Thumbavanam Arun; Sharut Gupta; Ashwin Vaswani; Bryan Chen; Matthew D. Li; Ken Chang; Jay B. Patel; Katherine Höbel; Mishka Gidwani; Jayashree Kalpathy-Cramer; Praveer Singh (CoRR, 2020)

The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions. - Sharut Gupta; Praveer Singh; Ken Chang; Mehak Aggarwal; Nishanth Thumbavanam Arun; Liangqiong Qu; Katharina Hoebel; Jay B. Patel; Mishka Gidwani; Ashwin Vaswani; Daniel L. Rubin; Jayashree Kalpathy-Cramer (CoRR, 2020)

Empirical Study of Data-Free Iterative Knowledge Distillation. - Het Shah; Ashwin Vaswani; Tirtharaj Dash; Ramya Hebbalaguppe; Ashwin Srinivasan 001 (ICANN (3), 2021)

Addressing catastrophic forgetting for medical domain expansion. - Sharut Gupta; Praveer Singh; Ken Chang; Liangqiong Qu; Mehak Aggarwal; Nishanth Thumbavanam Arun; Ashwin Vaswani; Shruti Raghavan; Vibha Agarwal; Mishka Gidwani; Katharina Hoebel; Jay B. Patel; et al. (CoRR, 2021)

All Mistakes Are Not Equal: Comprehensive Hierarchy Aware Multi-label Predictions (CHAMP). - Ashwin Vaswani; Gaurav Aggarwal; Praneeth Netrapalli; Narayan G. Hegde (CoRR, 2022)

All Mistakes are not Equal: Comprehensive Hierarchy Aware Multilabel Predictions (CHAMP). - Ashwin Vaswani; Yashas Samaga; Gaurav Aggarwal; Praneeth Netrapalli; Narayan G. Hegde (ICPR (1), 2024)

Addressing Catastrophic Forgetting by Modulating Global Batch Normalization Statistics for Medical Domain Expansion. - Sharut Gupta; Ken Chang; Liangqiong Qu; Aakanksha Rana; Syed Rakin Ahmed; Mehak Aggarwal; Nishanth Thumbavanam Arun; Ashwin Vaswani; Shruti Raghavan; Vibha Agarwal; Mishka Gidwani; Katharina Hoebel; et al. (AIPAD/PILM@MICCAI, 2024)