Sparse Learning of Kernel Transfer Operators. - Boya Hou; Subhonmesh Bose; Umesh Vaidya (ACSCC, 2021)

Compressed Decentralized Learning of Conditional Mean Embedding Operators in Reproducing Kernel Hilbert Spaces. - Boya Hou; Sina Sanjari; Nathan Dahlin; Subhonmesh Bose (AAAI, 2023)

Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach. - Boya Hou; Sina Sanjari; Nathan Dahlin; Subhonmesh Bose; Umesh Vaidya (ICML, 2023)

Compressed Online Learning of Conditional Mean Embedding. - Boya Hou; Sina Sanjari; Alec Koppel; Subhonmesh Bose (CoRR, 2024)

Kernel Methods for the Approximation of the Eigenfunctions of the Koopman Operator. - Jonghyeon Lee; Boumediene Hamzi; Boya Hou; Houman Owhadi; Gabriele Santin; Umesh Vaidya (CoRR, 2024)

Impact of Aviation Electrification on Airports: Flight Scheduling and Charging. - Boya Hou; Subhonmesh Bose; Lavanya Marla; Kiruba S. Haran (IEEE Trans. Intell. Transp. Syst., 2024)