Saved in:
| Main Author: | Monico, Chris |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.10002 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A universal approximation theorem for nonlinear resistive networks
by: Scellier, Benjamin, et al.
Published: (2023)
by: Scellier, Benjamin, et al.
Published: (2023)
A covariance representation and an elementary proof of the Gaussian concentration inequality
by: Houdré, Christian
Published: (2024)
by: Houdré, Christian
Published: (2024)
An elementary proof of Bridy's theorem
by: Rowland, Eric, et al.
Published: (2023)
by: Rowland, Eric, et al.
Published: (2023)
Coalgebras for categorical deep learning: Representability and universal approximation
by: Mašulović, Dragan
Published: (2026)
by: Mašulović, Dragan
Published: (2026)
Global universal approximation with Brownian signatures
by: Ceylan, Mihriban, et al.
Published: (2025)
by: Ceylan, Mihriban, et al.
Published: (2025)
New universal operator approximation theorem for encoder-decoder architectures (Preprint)
by: Gödeke, Janek, et al.
Published: (2025)
by: Gödeke, Janek, et al.
Published: (2025)
Minimum width for universal approximation using squashable activation functions
by: Shin, Jonghyun, et al.
Published: (2025)
by: Shin, Jonghyun, et al.
Published: (2025)
Function graph transformers universally approximate operators between function spaces
by: Furuya, Takashi, et al.
Published: (2026)
by: Furuya, Takashi, et al.
Published: (2026)
Broad stochastic configuration residual learning system for norm-convergent universal approximation
by: Su, Han, et al.
Published: (2025)
by: Su, Han, et al.
Published: (2025)
Minimum width for universal approximation using ReLU networks on compact domain
by: Kim, Namjun, et al.
Published: (2023)
by: Kim, Namjun, et al.
Published: (2023)
An elementary proof of Newman's eta-quotient theorem
by: Savitt, David
Published: (2025)
by: Savitt, David
Published: (2025)
An elementary proof of the local Kronecker-Weber theorem
by: Koenigsmann, Jochen, et al.
Published: (2022)
by: Koenigsmann, Jochen, et al.
Published: (2022)
An elementary algebraic proof of the fundamental theorem of algebra
by: Clark, Katelyn S., et al.
Published: (2025)
by: Clark, Katelyn S., et al.
Published: (2025)
A unified framework for establishing the universal approximation of transformer-type architectures
by: Cheng, Jingpu, et al.
Published: (2025)
by: Cheng, Jingpu, et al.
Published: (2025)
Topological DeepONets and a generalization of the Chen-Chen operator approximation theorem
by: Ismailov, Vugar
Published: (2026)
by: Ismailov, Vugar
Published: (2026)
An abstract effective convergence theorem for stochastic processes, with applications to stochastic approximation
by: Neri, Morenikeji, et al.
Published: (2025)
by: Neri, Morenikeji, et al.
Published: (2025)
PF-GNN: Differentiable particle filtering based approximation of universal graph representations
by: Dupty, Mohammed Haroon, et al.
Published: (2024)
by: Dupty, Mohammed Haroon, et al.
Published: (2024)
Re-uploading quantum data: A universal function approximator for quantum inputs
by: Cha, Hyunho, et al.
Published: (2025)
by: Cha, Hyunho, et al.
Published: (2025)
Sub-universal variational circuits for combinatorial optimization problems
by: Weitz, Gal, et al.
Published: (2023)
by: Weitz, Gal, et al.
Published: (2023)
Mathematically rigorous proofs for Shapley explanations
by: van Batenburg, David
Published: (2025)
by: van Batenburg, David
Published: (2025)
Noncompact uniform universal approximation
by: van Nuland, Teun D. H.
Published: (2023)
by: van Nuland, Teun D. H.
Published: (2023)
Likelihood approximations via Gaussian approximate inference
by: Bui, Thang D.
Published: (2024)
by: Bui, Thang D.
Published: (2024)
A direct proof of a unified law of robustness for Bregman divergence losses
by: Das, Santanu, et al.
Published: (2024)
by: Das, Santanu, et al.
Published: (2024)
An elementary proof of Hilbert's theorem on ternary quartics: Some complements
by: Pfister, Albrecht, et al.
Published: (2024)
by: Pfister, Albrecht, et al.
Published: (2024)
On Gaussian approximation for entropy-regularized Q-learning with function approximation
by: Rubtsov, Artemy, et al.
Published: (2026)
by: Rubtsov, Artemy, et al.
Published: (2026)
Geometric separation and constructive universal approximation with two hidden layers
by: Sung, Chanyoung
Published: (2026)
by: Sung, Chanyoung
Published: (2026)
Universal approximation theorem for neural networks with inputs from a topological vector space
by: Ismailov, Vugar
Published: (2024)
by: Ismailov, Vugar
Published: (2024)
eyeballvul: a future-proof benchmark for vulnerability detection in the wild
by: Chauvin, Timothee
Published: (2024)
by: Chauvin, Timothee
Published: (2024)
An elementary proof of the theorem on the imaginary quadratic fields with class number 1
by: Carter, James E.
Published: (2024)
by: Carter, James E.
Published: (2024)
A short elementary proof of the Gearhart-Prüss theorem for bounded semigroups
by: Dell'Oro, Filippo, et al.
Published: (2022)
by: Dell'Oro, Filippo, et al.
Published: (2022)
The Birman--Solomyak theorem revisited: a novel elementary proof, generalisation, and applications
by: Bach, V., et al.
Published: (2025)
by: Bach, V., et al.
Published: (2025)
Can neural networks do arithmetic? A survey on the elementary numerical skills of state-of-the-art deep learning models
by: Testolin, Alberto
Published: (2023)
by: Testolin, Alberto
Published: (2023)
Asymptotics of Non-Convex Generalized Linear Models in High-Dimensions: A proof of the replica formula
by: Vilucchio, Matteo, et al.
Published: (2025)
by: Vilucchio, Matteo, et al.
Published: (2025)
Reparameterization invariance in approximate Bayesian inference
by: Roy, Hrittik, et al.
Published: (2024)
by: Roy, Hrittik, et al.
Published: (2024)
A proof of contribution in blockchain using game theoretical deep learning model
by: Wang, Jin
Published: (2024)
by: Wang, Jin
Published: (2024)
Random feature approximation for general spectral methods
by: Nguyen, Mike, et al.
Published: (2025)
by: Nguyen, Mike, et al.
Published: (2025)
Adaptive proximal gradient methods are universal without approximation
by: Oikonomidis, Konstantinos A., et al.
Published: (2024)
by: Oikonomidis, Konstantinos A., et al.
Published: (2024)
Learning When to Switch: Adaptive Policy Selection via Reinforcement Learning
by: Tava, Chris
Published: (2025)
by: Tava, Chris
Published: (2025)
RFX-Fuse: Breiman and Cutler's Unified ML Engine + Native Explainable Similarity
by: Kuchar, Chris
Published: (2026)
by: Kuchar, Chris
Published: (2026)
Asymptotic spectrum of weighted sample covariance: another proof of spectrum convergence
by: Oriol, Benoit
Published: (2024)
by: Oriol, Benoit
Published: (2024)
Similar Items
-
A universal approximation theorem for nonlinear resistive networks
by: Scellier, Benjamin, et al.
Published: (2023) -
A covariance representation and an elementary proof of the Gaussian concentration inequality
by: Houdré, Christian
Published: (2024) -
An elementary proof of Bridy's theorem
by: Rowland, Eric, et al.
Published: (2023) -
Coalgebras for categorical deep learning: Representability and universal approximation
by: Mašulović, Dragan
Published: (2026) -
Global universal approximation with Brownian signatures
by: Ceylan, Mihriban, et al.
Published: (2025)