Saved in:
| Main Authors: | Weihs, Adrien, Schaeffer, Hayden |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.01961 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Approximation Error and Complexity Bounds for ReLU Networks on Low-Regular Function Spaces
by: Davis, Owen, et al.
Published: (2024)
by: Davis, Owen, et al.
Published: (2024)
Vanilla Feedforward Neural Networks as a Discretization of Dynamical Systems
by: Duan, Yifei, et al.
Published: (2022)
by: Duan, Yifei, et al.
Published: (2022)
Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal Approximation
by: Li, Li'ang, et al.
Published: (2023)
by: Li, Li'ang, et al.
Published: (2023)
Embedding Dimension Lower Bounds for Universality of Deep Sets and Janossy Pooling
by: Syed, Ali, et al.
Published: (2026)
by: Syed, Ali, et al.
Published: (2026)
A Neural Operator based on Dynamic Mode Decomposition
by: Sakovich, Nikita, et al.
Published: (2025)
by: Sakovich, Nikita, et al.
Published: (2025)
PODNO: Proper Orthogonal Decomposition Neural Operators
by: Cheng, Zilan, et al.
Published: (2025)
by: Cheng, Zilan, et al.
Published: (2025)
Streaming Compression of Scientific Data via weak-SINDy
by: Russo, Benjamin P., et al.
Published: (2023)
by: Russo, Benjamin P., et al.
Published: (2023)
Flow matching Operators for Residual-Augmented Probabilistic Learning of Partial Differential Equations
by: Bhola, Sahil, et al.
Published: (2025)
by: Bhola, Sahil, et al.
Published: (2025)
A Minimal Control Family of Dynamical Systems for Universal Approximation
by: Duan, Yifei, et al.
Published: (2023)
by: Duan, Yifei, et al.
Published: (2023)
Structural Correspondence and Universal Approximation in Diagonal plus Low-Rank Neural Networks
by: Chen, Ying, et al.
Published: (2026)
by: Chen, Ying, et al.
Published: (2026)
Universal approximation property of ODENet and ResNet with a single activation function
by: Kimura, Masato, et al.
Published: (2024)
by: Kimura, Masato, et al.
Published: (2024)
Quantitative Approximation Rates for Group Equivariant Learning
by: Siegel, Jonathan W., et al.
Published: (2026)
by: Siegel, Jonathan W., et al.
Published: (2026)
Simultaneous CNN Approximation on Manifolds with Applications to Boundary Value Problems
by: Zhou, Hanfei, et al.
Published: (2026)
by: Zhou, Hanfei, et al.
Published: (2026)
Neural Networks Trained by Weight Permutation are Universal Approximators
by: Cai, Yongqiang, et al.
Published: (2024)
by: Cai, Yongqiang, et al.
Published: (2024)
Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
by: Cooley, Madison, et al.
Published: (2024)
by: Cooley, Madison, et al.
Published: (2024)
Optimal Approximation of Zonoids and Uniform Approximation by Shallow Neural Networks
by: Siegel, Jonathan W.
Published: (2023)
by: Siegel, Jonathan W.
Published: (2023)
Time-Frequency Analysis for Neural Networks
by: Abdeljawad, Ahmed, et al.
Published: (2025)
by: Abdeljawad, Ahmed, et al.
Published: (2025)
Approximation and Gradient Descent Training with Neural Networks
by: Welper, G.
Published: (2024)
by: Welper, G.
Published: (2024)
Efficient Approximation to Analytic and $L^p$ functions by Height-Augmented ReLU Networks
by: Li, ZeYu, et al.
Published: (2026)
by: Li, ZeYu, et al.
Published: (2026)
Exact ReLU realization of tensor-product refinement iterates
by: Gantumur, Tsogtgerel
Published: (2026)
by: Gantumur, Tsogtgerel
Published: (2026)
Rational Neural Networks have Expressivity Advantages
by: Tang, Maosen, et al.
Published: (2026)
by: Tang, Maosen, et al.
Published: (2026)
On finite-dimensional encoding/decoding theorems for neural operators
by: Oliveira, Vinícius Luz, et al.
Published: (2026)
by: Oliveira, Vinícius Luz, et al.
Published: (2026)
Neural Flow Operators can Approximate any Operator: Abstract Frameworks and Universal Approximations
by: Chen, Shuang, et al.
Published: (2026)
by: Chen, Shuang, et al.
Published: (2026)
ReLU neural network approximation to piecewise constant functions
by: Cai, Zhiqiang, et al.
Published: (2024)
by: Cai, Zhiqiang, et al.
Published: (2024)
MonoKAN: Certified Monotonic Kolmogorov-Arnold Network
by: Polo-Molina, Alejandro, et al.
Published: (2024)
by: Polo-Molina, Alejandro, et al.
Published: (2024)
A theoretical analysis on the inversion of matrices via Neural Networks designed with Strassen algorithm
by: Romera, Gonzalo, et al.
Published: (2025)
by: Romera, Gonzalo, et al.
Published: (2025)
Enhancing Future Prediction of Linear and Nonlinear Reduced-Order Models for Transport-Dominated Problems Using Lagrangian Data
by: Li, Meng, et al.
Published: (2026)
by: Li, Meng, et al.
Published: (2026)
Discretization Error of Fourier Neural Operators
by: Lanthaler, Samuel, et al.
Published: (2024)
by: Lanthaler, Samuel, et al.
Published: (2024)
Computing Optimal Transport Maps and Wasserstein Barycenters Using Conditional Normalizing Flows
by: Visentin, Gabriele, et al.
Published: (2025)
by: Visentin, Gabriele, et al.
Published: (2025)
A Generalization Bound for a Family of Implicit Networks
by: Fung, Samy Wu, et al.
Published: (2024)
by: Fung, Samy Wu, et al.
Published: (2024)
On best approximation by multivariate ridge functions with applications to generalized translation networks
by: Geuchen, Paul, et al.
Published: (2024)
by: Geuchen, Paul, et al.
Published: (2024)
Equidistribution-based training of Free Knot Splines and ReLU Neural Networks
by: Appella, Simone, et al.
Published: (2024)
by: Appella, Simone, et al.
Published: (2024)
Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective
by: Jiao, Yuling, et al.
Published: (2025)
by: Jiao, Yuling, et al.
Published: (2025)
SUPN: Shallow Universal Polynomial Networks
by: Morrow, Zachary, et al.
Published: (2025)
by: Morrow, Zachary, et al.
Published: (2025)
Saddle Networks: Structure-Preserving Architectures for Convex-Concave Functions
by: Warin, Xavier
Published: (2026)
by: Warin, Xavier
Published: (2026)
Advances in Set Function Learning: A Survey of Techniques and Applications
by: Xie, Jiahao, et al.
Published: (2025)
by: Xie, Jiahao, et al.
Published: (2025)
Categorical Invariants of Learning Dynamics
by: Tamim, Abdulrahman
Published: (2025)
by: Tamim, Abdulrahman
Published: (2025)
A Class of Random-Kernel Network Models
by: Tian, James
Published: (2025)
by: Tian, James
Published: (2025)
Achieving Universal Approximation and Universal Interpolation via Nonlinearity of Control Families
by: Cai, Yongqiang, et al.
Published: (2025)
by: Cai, Yongqiang, et al.
Published: (2025)
Adaptivity Under Realizability Constraints: Comparing In-Context and Agentic Learning
by: Kratsios, Anastasis, et al.
Published: (2026)
by: Kratsios, Anastasis, et al.
Published: (2026)
Similar Items
-
Approximation Error and Complexity Bounds for ReLU Networks on Low-Regular Function Spaces
by: Davis, Owen, et al.
Published: (2024) -
Vanilla Feedforward Neural Networks as a Discretization of Dynamical Systems
by: Duan, Yifei, et al.
Published: (2022) -
Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal Approximation
by: Li, Li'ang, et al.
Published: (2023) -
Embedding Dimension Lower Bounds for Universality of Deep Sets and Janossy Pooling
by: Syed, Ali, et al.
Published: (2026) -
A Neural Operator based on Dynamic Mode Decomposition
by: Sakovich, Nikita, et al.
Published: (2025)