universal approximator

Primphormer: Efficient Graph Transformers with Primal Representations ICML 2025 Transformers are Universal In-context Learners ICLR 2025 Universality of Real Minimal Complexity Reservoir AAAI 2025 Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators? ICLR 2024 Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions NeurIPS 2024 Prompting a Pretrained Transformer Can Be a Universal Approximator ICML 2024 RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks NeurIPS 2024 Universal In-Context Approximation By Prompting Fully Recurrent Models NeurIPS 2024 Globally injective and bijective neural operators NeurIPS 2023 How Powerful are Shallow Neural Networks with Bandlimited Random Weights? ICML 2023 Sampling weights of deep neural networks NeurIPS 2023 State-space models with layer-wise nonlinearity are universal approximators with exponential decaying memory NeurIPS 2023 The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks ICLR 2023 Why do networks have inhibitory/negative connections? ICCV 2023 Learning functions on multiple sets using multi-set transformers UAI 2022 CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions NeurIPS 2021 Approximation Capabilities of Neural ODEs and Invertible Residual Networks ICML 2020 Coloring Graph Neural Networks for Node Disambiguation IJCAI 2020 Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators NeurIPS 2020 Deep, Skinny Neural Networks are not Universal Approximators ICLR 2019 On the Relative Expressiveness of Bayesian and Neural Networks PGM 2018 ResNet with one-neuron hidden layers is a Universal Approximator NeurIPS 2018 The Expressive Power of Neural Networks: A View from the Width NeurIPS 2017 Universal Approximation Results for the Temporal Restricted Boltzmann Machine and the Recurrent Temporal Restricted Boltzmann Machine JMLR 2016 Incorporating Functional Knowledge in Neural Networks JMLR 2009