On Riemannian Approach for Constrained Optimization Model in Extreme Classification Problems. - Jayadev Naram; Tanmay Kumar Sinha; Pawan Kumar 001 (CoRR, 2021)

A Riemannian Approach to Extreme Classification Problems. - Jayadev Naram; Tanmay Kumar Sinha; Pawan Kumar 001 (COMAD/CODS, 2022)

Nonnegative Low-Rank Tensor Completion via Dual Formulation with Applications to Image and Video Completion. - Tanmay Kumar Sinha; Jayadev Naram; Pawan Kumar 001 (WACV, 2022)

Generalized Structured Low-Rank Tensor Learning. - Jayadev Naram; Tanmay Kumar Sinha; Pawan Kumar 001 (COMAD/CODS, 2023)

Structured Low-Rank Tensor Learning. - Jayadev Naram; Tanmay Kumar Sinha; Pawan Kumar 001 (CoRR, 2023)

GLIDE-RL: Grounded Language Instruction through DEmonstration in RL. - Chaitanya Kharyal; Sai Krishna Gottipati; Tanmay Kumar Sinha; Srijita Das 001; Matthew E. Taylor (AAMAS, 2024)

Do as you teach: a multi-teacher approach to self-play in deep reinforcement learning. - Chaitanya Kharyal; Sai Krishna Gottipati; Tanmay Kumar Sinha; Fatemeh Abdollahi; Srijita Das 001; Matthew E. Taylor (Neural Comput. Appl., 2025)