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universal approximation

51 papers

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Also known as

UAP

Co-occurring keywords

neural network (6616) function approximation (319) recurrent neural network (1790) activation function (133) attention mechanism (3975) manifold learning (402) neural network architecture (362) neural network optimization (1293) convolutional neural network (4216) deep neural network (1801)

Papers

Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions NIPS 2023
Universality and Limitations of Prompt Tuning NIPS 2023
Deep Network Approximation: Achieving Arbitrary Accuracy with Fixed Number of Neurons JMLR 2022
Learning Operators with Coupled Attention JMLR 2022
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows ICML 2022
Power and limitations of single-qubit native quantum neural networks NIPS 2022
Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups NIPS 2022
Universal Approximation in Dropout Neural Networks JMLR 2022
Universal Approximation Theorems for Differentiable Geometric Deep Learning JMLR 2022
Your Transformer May Not be as Powerful as You Expect NIPS 2022
Universal Approximation of Functions on Sets JMLR 2022
Training deep residual networks for uniform approximation guarantees L4DC 2021
Elementary superexpressive activations ICML 2021
Universal Approximation Using Well-Conditioned Normalizing Flows NIPS 2021
UNIPoint: Universally Approximating Point Processes Intensities AAAI 2021
On the Representation Power of Set Pooling Networks NIPS 2021
NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation JMLR 2021
On Universal Approximation and Error Bounds for Fourier Neural Operators JMLR 2021
Non-Euclidean Universal Approximation NIPS 2020
Universal Approximation with Deep Narrow Networks COLT 2020
Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection JMLR 2020
O(n) Connections are Expressive Enough: Universal Approximability of Sparse Transformers NIPS 2020
Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks AAAI 2019
Efficient Deep Approximation of GMMs NIPS 2019
Fourier Policy Gradients ICML 2018