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

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)

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

Grokking vs. Learning: Same Features, Different Encodings. - Dmitry Manning-Coe; Jacopo Gliozzi; Alexander G. Stapleton; Edward Hirst; Giuseppe De Tomasi; Barry Bradlyn; David S. Berman (CoRR, 2025)

Explainable AI: definition and attributes of a good explanation for health AI. - Evangelia Kyrimi; Scott McLachlan; Jared M. Wohlgemut; Zane B. Perkins; David A. Lagnado; William Marsh 001; Alexander Gimson; Ali Shafti; Ari Ercole; Amitava Banerjee; Ben Glocker; Burkhard Schafer 001; et al. (AI Ethics, 2025)