Deep-Learned Event Variables for Collider Phenomenology. - Doojin Kim; Kyoungchul Kong; Konstantin T. Matchev; Myeonghun Park; Prasanth Shyamsundar (CoRR, 2021)

New Machine Learning Techniques for Simulation-Based Inference: InferoStatic Nets, Kernel Score Estimation, and Kernel Likelihood Ratio Estimation. - Kyoungchul Kong; Konstantin T. Matchev; Stephen Mrenna; Prasanth Shyamsundar (CoRR, 2022)

InClass nets: independent classifier networks for nonparametric estimation of conditional independence mixture models and unsupervised classification. - Konstantin T. Matchev; Prasanth Shyamsundar (Mach. Learn. Sci. Technol., 2022)

Non-Boolean quantum amplitude amplification and quantum mean estimation. - Prasanth Shyamsundar (Quantum Inf. Process., 2023)

Quantum circuit fidelity estimation using machine learning. - Avi Vadali; Rutuja Kshirsagar; Prasanth Shyamsundar; Gabriel N. Perdue (Quantum Mach. Intell., 2024)