An Introduction to Hilbert Space and Quantum Logic (David W. Cohen). - Andrew Vogt (SIAM Rev., 1991)

Quantum Mechanics, Algebras and Distributions (D. A. Dubin and M. A. Hennings). - Andrew Vogt (SIAM Rev., 1993)

Approximation by neural networks is not continuous. - Paul C. Kainen; Vera Kurková; Andrew Vogt (Neurocomputing, 1999)

Should Activation Functions be Affinely Recursive?. - Andrew Vogt (IJCNN (1), 2000)

Best approximation by Heaviside perceptron networks. - Paul C. Kainen; Vera Kurková; Andrew Vogt (Neural Networks, 2000)

Continuity of Approximation by Neural Networks in Lp Spaces. - Paul C. Kainen; Vera Kurková; Andrew Vogt (Ann. Oper. Res., 2001)

Best approximation by linear combinations of characteristic functions of half-spaces. - Paul C. Kainen; Vera Kurková; Andrew Vogt (J. Approx. Theory, 2003)

A Sobolev-type upper bound for rates of approximation by linear combinations of Heaviside plane waves. - Paul C. Kainen; Vera Kurková; Andrew Vogt (J. Approx. Theory, 2007)

Bochner Integrals and Neural Networks. - Paul C. Kainen; Andrew Vogt (Handbook on Neural Information Processing, 2013)

Approximative compactness of linear combinations of characteristic functions. - Paul C. Kainen; Vera Kurková; Andrew Vogt (J. Approx. Theory, 2020)

Bochner integrals and neural networks. - Paul C. Kainen; Andrew Vogt (CoRR, 2023)