On Size-Independent Sample Complexity of ReLU Networks
Fuente:
arXiv
Saved in:
| Main Author: | Sellke, Mark |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Discrete Functional Geometry of ReLU Networks via ReLU Transition Graphs
by: Dhayalkar, Sahil Rajesh
Published: (2025)
by: Dhayalkar, Sahil Rajesh
Published: (2025)
The Geometry of ReLU Networks through the ReLU Transition Graph
by: Dhayalkar, Sahil Rajesh
Published: (2025)
by: Dhayalkar, Sahil Rajesh
Published: (2025)
Symmetric Matrix Completion with ReLU Sampling
by: Liu, Huikang, et al.
Published: (2024)
by: Liu, Huikang, et al.
Published: (2024)
On the Local Complexity of Linear Regions in Deep ReLU Networks
by: Patel, Niket, et al.
Published: (2024)
by: Patel, Niket, et al.
Published: (2024)
Complexity of One-Dimensional ReLU DNNs
by: Kogan, Jonathan, et al.
Published: (2025)
by: Kogan, Jonathan, et al.
Published: (2025)
N-ReLU: Zero-Mean Stochastic Extension of ReLU
by: Manik, Md Motaleb Hossen, et al.
Published: (2025)
by: Manik, Md Motaleb Hossen, et al.
Published: (2025)
Complexity of Injectivity and Verification of ReLU Neural Networks
by: Froese, Vincent, et al.
Published: (2024)
by: Froese, Vincent, et al.
Published: (2024)
The Resurrection of the ReLU
by: Horuz, Coşku Can, et al.
Published: (2025)
by: Horuz, Coşku Can, et al.
Published: (2025)
Pathwise Explanation of ReLU Neural Networks
by: Lim, Seongwoo, et al.
Published: (2025)
by: Lim, Seongwoo, et al.
Published: (2025)
Optimal Sets and Solution Paths of ReLU Networks
by: Mishkin, Aaron, et al.
Published: (2023)
by: Mishkin, Aaron, et al.
Published: (2023)
Online Realizable Regression and Applications for ReLU Networks
by: Doron-Arad, Ilan, et al.
Published: (2026)
by: Doron-Arad, Ilan, et al.
Published: (2026)
Convexity in ReLU Neural Networks: beyond ICNNs?
by: Gagneux, Anne, et al.
Published: (2025)
by: Gagneux, Anne, et al.
Published: (2025)
SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks
by: Sun, Xiaotong, et al.
Published: (2024)
by: Sun, Xiaotong, et al.
Published: (2024)
Stochastic Bandits with ReLU Neural Networks
by: Xu, Kan, et al.
Published: (2024)
by: Xu, Kan, et al.
Published: (2024)
On Space Folds of ReLU Neural Networks
by: Lewandowski, Michal, et al.
Published: (2025)
by: Lewandowski, Michal, et al.
Published: (2025)
Complexity of Linear Regions in Self-supervised Deep ReLU Networks
by: Muthivhi, Mufhumudzi, et al.
Published: (2026)
by: Muthivhi, Mufhumudzi, et al.
Published: (2026)
Convergence of Adam in Deep ReLU Networks via Directional Complexity and Kakeya Bounds
by: Sridhar, Anupama, et al.
Published: (2025)
by: Sridhar, Anupama, et al.
Published: (2025)
ReLU-KAN: New Kolmogorov-Arnold Networks that Only Need Matrix Addition, Dot Multiplication, and ReLU
by: Qiu, Qi, et al.
Published: (2024)
by: Qiu, Qi, et al.
Published: (2024)
ReLU Networks for Model Predictive Control: Network Complexity and Performance Guarantees
by: Li, Xingchen, et al.
Published: (2026)
by: Li, Xingchen, et al.
Published: (2026)
Topological Expressivity of ReLU Neural Networks
by: Ergen, Ekin, et al.
Published: (2023)
by: Ergen, Ekin, et al.
Published: (2023)
Three Quantization Regimes for ReLU Networks
by: Ou, Weigutian, et al.
Published: (2024)
by: Ou, Weigutian, et al.
Published: (2024)
Hidden Minima in Two-Layer ReLU Networks
by: Arjevani, Yossi
Published: (2023)
by: Arjevani, Yossi
Published: (2023)
Noisy Interpolation Learning with Shallow Univariate ReLU Networks
by: Joshi, Nirmit, et al.
Published: (2023)
by: Joshi, Nirmit, et al.
Published: (2023)
Training a Two Layer ReLU Network Analytically
by: Barbu, Adrian
Published: (2023)
by: Barbu, Adrian
Published: (2023)
ReLU Networks as Random Functions: Their Distribution in Probability Space
by: Chaudhari, Shreyas, et al.
Published: (2025)
by: Chaudhari, Shreyas, et al.
Published: (2025)
Implicit Hypersurface Approximation Capacity in Deep ReLU Networks
by: Vallin, Jonatan, et al.
Published: (2024)
by: Vallin, Jonatan, et al.
Published: (2024)
Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient
by: Dinh, Vu C., et al.
Published: (2024)
by: Dinh, Vu C., et al.
Published: (2024)
Implicit Regularization Towards Rank Minimization in ReLU Networks
by: Timor, Nadav, et al.
Published: (2022)
by: Timor, Nadav, et al.
Published: (2022)
The Symmetries of Three-Layer ReLU Networks
by: Gegenfurtner, Johanna Marie, et al.
Published: (2026)
by: Gegenfurtner, Johanna Marie, et al.
Published: (2026)
When Are Bias-Free ReLU Networks Effectively Linear Networks?
by: Zhang, Yedi, et al.
Published: (2024)
by: Zhang, Yedi, et al.
Published: (2024)
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes
by: Qiao, Dan, et al.
Published: (2024)
by: Qiao, Dan, et al.
Published: (2024)
Brownian ReLU(Br-ReLU): A New Activation Function for a Long-Short Term Memory (LSTM) Network
by: Awiakye-Marfo, George, et al.
Published: (2026)
by: Awiakye-Marfo, George, et al.
Published: (2026)
Random ReLU Neural Networks as Non-Gaussian Processes
by: Parhi, Rahul, et al.
Published: (2024)
by: Parhi, Rahul, et al.
Published: (2024)
ReLU Neural Networks of Polynomial Size for Exact Maximum Flow Computation
by: Hertrich, Christoph, et al.
Published: (2021)
by: Hertrich, Christoph, et al.
Published: (2021)
ReLU Networks for Exact Generation of Similar Graphs
by: Ghafoor, Mamoona, et al.
Published: (2026)
by: Ghafoor, Mamoona, et al.
Published: (2026)
The Computational Complexity of Counting Linear Regions in ReLU Neural Networks
by: Stargalla, Moritz, et al.
Published: (2025)
by: Stargalla, Moritz, et al.
Published: (2025)
Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks
by: Chen, Wenlin, et al.
Published: (2023)
by: Chen, Wenlin, et al.
Published: (2023)
Deep Network Approximation: Beyond ReLU to Diverse Activation Functions
by: Zhang, Shijun, et al.
Published: (2023)
by: Zhang, Shijun, et al.
Published: (2023)
The Effects of Multi-Task Learning on ReLU Neural Network Functions
by: Nakhleh, Julia, et al.
Published: (2024)
by: Nakhleh, Julia, et al.
Published: (2024)
Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks
by: Sohn, Jy-yong, et al.
Published: (2024)
by: Sohn, Jy-yong, et al.
Published: (2024)
Similar Items
-
Discrete Functional Geometry of ReLU Networks via ReLU Transition Graphs
by: Dhayalkar, Sahil Rajesh
Published: (2025) -
The Geometry of ReLU Networks through the ReLU Transition Graph
by: Dhayalkar, Sahil Rajesh
Published: (2025) -
Symmetric Matrix Completion with ReLU Sampling
by: Liu, Huikang, et al.
Published: (2024) -
On the Local Complexity of Linear Regions in Deep ReLU Networks
by: Patel, Niket, et al.
Published: (2024) -
Complexity of One-Dimensional ReLU DNNs
by: Kogan, Jonathan, et al.
Published: (2025)