Multilayer feedforward networks with a nonpolynomial activation function can approximate any function. - Moshe Leshno; Vladimir Ya. Lin; Allan Pinkus; Shimon Schocken (Neural Networks, 1993)

Lower bounds for approximation by MLP neural networks. - Vitaly Maiorov; Allan Pinkus (Neurocomputing, 1999)

The B-spline recurrence relations of Chakalov and of Popoviciu. - Carl de Boor; Allan Pinkus (J. Approx. Theory, 2003)

Negative Theorems in Approximation Theory. - Allan Pinkus (Am. Math. Mon., 2003)

Strictly Positive Definite Functions on a Real Inner Product Space. - Allan Pinkus (Adv. Comput. Math., 2004)

Borislav D. Bojanov: 18 November 1944-8 April 2009. - András Kroó; Allan Pinkus; Yuan Xu (J. Approx. Theory, 2010)

Dominating Subsets under Projections. - Rom Pinchasi; Allan Pinkus (SIAM J. Discret. Math., 2010)

Sparse representations and approximation theory. - Allan Pinkus (J. Approx. Theory, 2011)

On Chebyshev-Markov-Krein inequalities. - Allan Pinkus; José M. Quesada (J. Approx. Theory, 2012)

Interpolation on lines by ridge functions. - Vugar E. Ismailov; Allan Pinkus (J. Approx. Theory, 2013)

On Stability of the Metric Projection Operator. - András Kroó; Allan Pinkus (SIAM J. Math. Anal., 2013)