On Approximate l1 Systems in Banach Spaces. - Stephen J. Dilworth; Denka Kutzarova; Przemyslaw Wojtaszczyk (J. Approx. Theory, 2002)

Linear vs. nonlinear algorithms for linear problems. - Jakob Creutzig; Przemyslaw Wojtaszczyk (J. Complex., 2004)

Characterization of 1-greedy bases. - Fernando Albiac; Przemyslaw Wojtaszczyk (J. Approx. Theory, 2006)

Stability and Instance Optimality for Gaussian Measurements in Compressed Sensing. - Przemyslaw Wojtaszczyk (Found. Comput. Math., 2010)

Complexity of approximation of functions of few variables in high dimensions. - Przemyslaw Wojtaszczyk (J. Complex., 2011)

Convergence Rates for Greedy Algorithms in Reduced Basis Methods. - Peter Binev; Albert Cohen 002; Wolfgang Dahmen; Ronald A. DeVore; Guergana Petrova; Przemyslaw Wojtaszczyk (SIAM J. Math. Anal., 2011)

1 Minimization with Noisy Data. - Przemyslaw Wojtaszczyk (SIAM J. Numer. Anal., 2012)

Data Assimilation in Reduced Modeling. - Peter Binev; Albert Cohen 002; Wolfgang Dahmen; Ronald A. DeVore; Guergana Petrova; Przemyslaw Wojtaszczyk (SIAM/ASA J. Uncertain. Quantification, 2017)

Lipschitz widths. - Guergana Petrova; Przemyslaw Wojtaszczyk (CoRR, 2021)

On the entropy numbers and the Kolmogorov widths. - Guergana Petrova; Przemyslaw Wojtaszczyk (CoRR, 2022)

Optimal Stable Nonlinear Approximation. - Albert Cohen 002; Ronald A. DeVore; Guergana Petrova; Przemyslaw Wojtaszczyk (Found. Comput. Math., 2022)

Neural networks: deep, shallow, or in between? - Guergana Petrova; Przemyslaw Wojtaszczyk (CoRR, 2023)

Limitations on approximation by deep and shallow neural networks. - Guergana Petrova; Przemyslaw Wojtaszczyk (J. Mach. Learn. Res., 2023)

A note on best n-term approximation for generalized Wiener classes. - Ronald A. DeVore; Guergana Petrova; Przemyslaw Wojtaszczyk (CoRR, 2024)