Multi-Fidelity Machine Learning for Excited State Energies of Molecules. - Vivin Vinod; Sayan Maity; Peter Zaspel; Ulrich Kleinekathöfer (CoRR, 2023)

CheMFi: A Multifidelity Dataset of Quantum Chemical Properties of Diverse Molecules. - Vivin Vinod; Peter Zaspel (CoRR, 2024)

Benchmarking Data Efficiency in Δ-ML and Multifidelity Models for Quantum Chemistry. - Vivin Vinod; Peter Zaspel (CoRR, 2024)

Investigating Data Hierarchies in Multifidelity Machine Learning for Excitation Energies. - Vivin Vinod; Peter Zaspel (CoRR, 2024)

Assessing non-nested configurations of multifidelity machine learning for quantum-chemical properties. - Vivin Vinod; Peter Zaspel (Mach. Learn. Sci. Technol., 2024)