An Improved ε-Approximation Algorithm for Geometric Bipartite Matching. - Pankaj K. Agarwal; Sharath Raghvendra; Pouyan Shirzadian; Rachita Sowle (SWAT, 2022)

Next-generation prognosis framework for pediatric spinal deformities using bio-informed deep learning networks. - Mahsa Tajdari; Farzam Tajdari; Pouyan Shirzadian; Aishwarya Pawar; Mirwais Wardak; Sourav Saha; Chanwook Park; Toon Huysmans; Yu Song 003; Yongjie Jessica Zhang; John F. Sarwark; Wing Kam Liu (Eng. Comput., 2022)

A Higher Precision Algorithm for Computing the $1$-Wasserstein Distance. - Pankaj K. Agarwal; Sharath Raghvendra; Pouyan Shirzadian; Rachita Sowle (ICLR, 2023)

A Robust Exact Algorithm for the Euclidean Bipartite Matching Problem. - Akshaykumar Gattani; Sharath Raghvendra; Pouyan Shirzadian (NeurIPS, 2023)

A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions. - Sharath Raghvendra; Pouyan Shirzadian; Kaiyi Zhang 004 (ICML, 2024)

A Combinatorial Algorithm for the Semi-Discrete Optimal Transport Problem. - Pankaj K. Agarwal; Sharath Raghvendra; Pouyan Shirzadian; Keegan Yao (NeurIPS, 2024)

Fast and Accurate Approximations of the Optimal Transport in Semi-Discrete and Discrete Settings. - Pankaj K. Agarwal; Sharath Raghvendra; Pouyan Shirzadian; Keegan Yao (SODA, 2024)

Geometric Bipartite Matching Based Exact Algorithms for Server Problems. - Sharath Raghvendra; Pouyan Shirzadian; Rachita Sowle (SoCG, 2025)

Efficient Approximation Algorithm for Computing Wasserstein Barycenter under Euclidean Metric. - Pankaj K. Agarwal; Sharath Raghvendra; Pouyan Shirzadian; Keegan Yao (SODA, 2025)