 On the optimal approximation of Sobolev and Besov functions using deep ReLU neural networksApplied and Computational Harmonic Analysis (ACHA), 2024 |
 Optimal rates of approximation by shallow ReLU neural networks and
applications to nonparametric regressionConstructive approximation (Constr. Approx.), 2023 |
 On the Universal Approximation Property of Deep Fully Convolutional
Neural NetworksSIAM Journal on Mathematical Analysis (SIAM J. Math. Anal.), 2022 |
 Approximation bounds for norm constrained neural networks with
applications to regression and GANsApplied and Computational Harmonic Analysis (ACHA), 2022 |
 Solving PDEs on Unknown Manifolds with Machine LearningApplied and Computational Harmonic Analysis (ACHA), 2021 |
 Neural Network Approximation: Three Hidden Layers Are EnoughNeural Networks (NN), 2020 |
