| Nonnegative low-rank tensor completion via dual formulation with applications to image and video completion TK Sinha, J Naram, P Kumar Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 10 | 2022 |
| Do As You Teach: A Multi-Teacher Approach to Self-Play in Deep Reinforcement Learning C Kharyal, TK Sinha, SK Gottipati, S Das, ME Taylor Deep Reinforcement Learning Workshop NeurIPS 2022, 2022 | 6 | 2022 |
| A riemannian approach to extreme classification problems J Naram, TK Sinha, P Kumar Proceedings of the 5th Joint International Conference on Data Science …, 2022 | 3 | 2022 |
| Learning arithmetic formulas in the presence of noise: A general framework and applications to unsupervised learning P Chandra, A Garg, N Kayal, K Mittal, T Sinha arXiv preprint arXiv:2311.07284, 2023 | 1 | 2023 |
| Structured low-rank tensor learning J Naram, TK Sinha, P Kumar arXiv preprint arXiv:2305.07967, 2023 | 1 | 2023 |
| GLIDE-RL: Grounded Language Instruction through DEmonstration in RL C Kharyal, SK Gottipati, TK Sinha, S Das, ME Taylor arXiv preprint arXiv:2401.02991, 2024 | | 2024 |
| Towards Analyzing Self-attention via Linear Neural Network P Chandra, TK Sinha, K Ahuja, A Garg, N Goyal | | 2023 |
| Generalized Structured Low-Rank Tensor Learning J Naram, T Sinha, P Kumar Proceedings of the 6th Joint International Conference on Data Science …, 2023 | | 2023 |
| On Riemannian Approach for Constrained Optimization Model in Extreme Classification Problems J Naram, TK Sinha, P Kumar arXiv preprint arXiv:2109.15021, 2021 | | 2021 |
| Work-in-Progress: Multi-Teacher Curriculum Design for Sparse Reward Environments C Kharyal, TK Sinha, ME Taylor | | |
Jayadev NaramDoctoral student, Chalmers University of TechnologyVerified email at chalmers.se
