Globally centered autocovariances in MCMC M Agarwal, D Vats Journal of Computational and Graphical Statistics 31 (3), 629-638, 2022 | 7 | 2022 |
A principled stopping rule for importance sampling M Agarwal, D Vats, V Elvira Electronic Journal of Statistics 16 (2), 5570-5590, 2022 | 4 | 2022 |
Design and development of underwater vehicle: ANAHITA A Jain, M Kumar, R Patibandla, A Arora, AK Singh, V Pawar, A Rai, ... arXiv preprint arXiv:1903.00494, 2019 | 3 | 2019 |
Iterated Schr\" odinger bridge approximation to Wasserstein Gradient Flows M Agarwal, Z Harchaoui, G Mulcahy, S Pal arXiv preprint arXiv:2406.10823, 2024 | 2 | 2024 |
Leveraging machine learning and accelerometry to classify animal behaviours with uncertainty M Agarwal, K Rafiq, R Mehta, B Abrahms, Z Harchaoui bioRxiv, 2024.12. 28.630628, 2024 | | 2024 |
Quasi-Newton Acceleration of EM and MM Algorithms via Broyden¡¦s Method M Agarwal, J Xu Journal of Computational and Graphical Statistics 33 (2), 393-406, 2024 | | 2024 |
The Expressive Power of a Class of Normalizing Flow Models M Agarwal, G Mulcahy | | 2022 |
Introduction to Normalizing Flows M Agarwal, G Mulcahy | | 2022 |
Introduction to normalizing flows and their estimation M Agarwal, G Mulcahy | | 2022 |
Brenier Maps to Knothe-Rosenblatt Map M Agarwal, G Mulcahy | | 2022 |
Transformer learning as a Heat Flow M Agarwal, G Mulcahy, Z Harchaoui, S Pal 2025 Joint Mathematics Meetings (JMM 2025), 0 | | |
Design and Development of Underwater Vehicle: ANAHITA Conceptual Design Report: Team AUV-IITK A Jain, M Kumar, R Patibandla, R Balamurugan, R Naveen Chandra, ... | | |