depth separation

Depth Separations in Neural Networks: Separating the Dimension from the Accuracy COLT 2025 Depth Separation in Norm-Bounded Infinite-Width Neural Networks COLT 2024 Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space JMLR 2024 Optimal Bump Functions for Shallow ReLU networks: Weight Decay, Depth Separation, Curse of Dimensionality JMLR 2024 Depth Separation with Multilayer Mean-Field Networks ICLR 2023 Provable Guarantees for Nonlinear Feature Learning in Three-Layer Neural Networks NeurIPS 2023 Depth and Feature Learning are Provably Beneficial for Neural Network Discriminators COLT 2022 Depth separation beyond radial functions JMLR 2022 Optimization-Based Separations for Neural Networks COLT 2022 Width is Less Important than Depth in ReLU Neural Networks COLT 2022 Size and Depth Separation in Approximating Benign Functions with Neural Networks COLT 2021 The Connection Between Approximation, Depth Separation and Learnability in Neural Networks COLT 2021 Neural Networks with Small Weights and Depth-Separation Barriers NeurIPS 2020 Depth Separations in Neural Networks: What is Actually Being Separated? COLT 2019 Is Deeper Better only when Shallow is Good? NeurIPS 2019 Depth Separation for Neural Networks COLT 2017