Prediction of SGEMM GPU Kernel Performance Using Supervised and Unsupervised Machine Learning Techniques. - Sanket Agrawal; Akshay Bansal; Sandeep Rathor (ICCCNT, 2018)

A framework for spatial heat risk assessment using a generalized similarity measure. - Akshay Bansal; Ayda Kianmehr (CoRR, 2022)

Divergence Inequalities from Multivariate Taylor's Theorem. - Ian George; Alice Zheng; Akshay Bansal (ITW, 2024)

On the composable security of weak coin flipping. - Jiawei Wu; Yanglin Hu; Akshay Bansal; Marco Tomamichel (CoRR, 2024)

Online learning of a panoply of quantum objects. - Akshay Bansal; Ian George; Soumik Ghosh; Jamie Sikora; Alice Zheng (CoRR, 2024)

Divergence Inequalities with Applications in Ergodic Theory. - Ian George; Alice Zheng; Akshay Bansal (CoRR, 2024)

Breaking barriers in two-party quantum cryptography via stochastic semidefinite programming. - Akshay Bansal; Jamie Sikora (Quantum, 2025)

On the composable security of weak coin flipping. - Jiawei Wu 005; Yanglin Hu; Akshay Bansal; Marco Tomamichel (Quantum, 2025)

Quantum protocols for Rabin oblivious transfer. - Erika Andersson; Akshay Bansal; James T. Peat; Jamie Sikora; Jiawei Wu (CoRR, 2025)