3 papers
cs.LG2026
Mitigating Task-Order Sensitivity and Forgetting via Hierarchical Second-Order Consolidation
Protik Nag, Krishnan Raghavan, Vignesh Narayanan
We introduce , a framework that couples fast local adaptation with conservative, second-order global consolidat…
cs.LG2024
Towards Effective Planning Strategies for Dynamic Opinion Networks
Bharath Muppasani, Protik Nag, Vignesh Narayanan +2
In this study, we investigate the under-explored intervention planning aimed at disseminating accurate information within dynamic opinion networks by leveraging learning strategies…
quant-ph2021
Fundamental Machine Learning Routines as Quantum Algorithms on a Superconducting Quantum Computer
Sristy Sangskriti, Protik Nag, Summit Haque
The Harrow-Hassidim-Lloyd algorithm is intended for solving the system of linear equations on quantum devices. The exponential advantage of the algorithm comes with four caveats. W…