Physics and Chemistry from Parsimonious Representations: Image Analysis via Invariant Variational Autoencoders. - Mani Valleti; Yongtao Liu; Sergei V. Kalinin (CoRR, 2023)

Towards accelerating physical discovery via non-interactive and interactive multi-fidelity Bayesian Optimization: Current challenges and future opportunities. - Arpan Biswas; Sai Mani Prudhvi Valleti; Rama K. Vasudevan; Maxim A. Ziatdinov; Sergei V. Kalinin (CoRR, 2024)

Invariant Discovery of Features Across Multiple Length Scales: Applications in Microscopy and Autonomous Materials Characterization. - Aditya Raghavan; Utkarsh Pratiush; Mani Valleti; Richard Liu; Reece Emery; Hiroshi Funakubo; Yongtao Liu; Philip D. Rack; Sergei V. Kalinin (CoRR, 2024)

Rapid optimization in high dimensional space by deep kernel learning augmented genetic algorithms. - Mani Valleti; Aditya Raghavan; Sergei V. Kalinin (CoRR, 2024)

Toward Accelerating Discovery via Physics-Driven and Interactive Multifidelity Bayesian Optimization. - Arpan Biswas; Mani Valleti; Rama K. Vasudevan; Maxim A. Ziatdinov; Sergei V. Kalinin (J. Comput. Inf. Sci. Eng., 2024)

Deep kernel methods learn better: from cards to process optimization. - Mani Valleti; Rama K. Vasudevan; Maxim A. Ziatdinov; Sergei V. Kalinin (Mach. Learn. Sci. Technol., 2024)