On the Dynamics of Inference and Learning. - David S. Berman; Jonathan J. Heckman; Marc Klinger (CoRR, 2022)

Multi-camera Visual-Inertial Simultaneous Localization and Mapping for Autonomous Valet Parking. - Marcus Abate; Ariel Schwartz; Xue Iuan Wong; Wangdong Luo; Rotem Littman; Marc Klinger; Lars Kuhnert; Douglas Blue; Luca Carlone (ISER, 2023)

Bayesian renormalization. - David S. Berman; Marc S. Klinger; Alexander G. Stapleton (Mach. Learn. Sci. Technol., 2023)

NCoder - A Quantum Field Theory approach to encoding data. - David S. Berman; Marc S. Klinger; Alexander G. Stapleton (CoRR, 2024)

Bayesian RG Flow in Neural Network Field Theories. - Jessica N. Howard; Marc S. Klinger; Anindita Maiti; Alexander G. Stapleton (CoRR, 2024)

The Inverse of Exact Renormalization Group Flows as Statistical Inference. - David S. Berman; Marc S. Klinger (Entropy, 2024)