Generative Modeling Using the Sliced Wasserstein Distance. - Ishan Deshpande; Ziyu Zhang; Alexander G. Schwing (CVPR, 2018)

Max-Sliced Wasserstein Distance and Its Use for GANs. - Ishan Deshpande; Yuan-Ting Hu; Ruoyu Sun 001; Ayis Pyrros; Nasir Siddiqui; Sanmi Koyejo; Zhizhen Zhao 001; David A. Forsyth; Alexander G. Schwing (CVPR, 2019)

Graph schemas as abstractions for transfer learning, inference, and planning. - J. Swaroop Guntupalli; Rajkumar Vasudeva Raju; Shrinu Kushagra; Carter Wendelken; Danny Sawyer; Ishan Deshpande; Guangyao Zhou; Miguel Lázaro-Gredilla; Dileep George (CoRR, 2023)

Fast exploration and learning of latent graphs with aliased observations. - Miguel Lázaro-Gredilla; Ishan Deshpande; Sivaramakrishnan Swaminathan; Meet Dave; Dileep George (CoRR, 2023)

Agricultural Landscape Understanding At Country-Scale. - Radhika Dua; Nikita Saxena; Aditi Agarwal; Alex Wilson; Gaurav Singh; Hoang Tran; Ishan Deshpande; Amandeep Kaur; Gaurav Aggarwal; Chandan Nath; Arnab Basu; Vishal Batchu; et al. (CoRR, 2024)

Farm-Level, In-Season Crop Identification for India. - Ishan Deshpande; Amandeep Kaur Reehal; Chandan Nath; Renu Singh; Aayush Patel; Aishwarya Jayagopal; Gaurav Singh; Gaurav Aggarwal; Amit Agarwal; Prathmesh Bele; Sridhar Reddy; Tanya Warrier; et al. (CoRR, 2025)