Convergence of Shallow ReLU Networks on Weakly Interacting Data
Fuente:
arXiv
Saved in:
| Main Authors: | Dana, Léo, Bach, Francis, Pillaud-Vivien, Loucas |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs
by: Boursier, Etienne, et al.
Published: (2022)
by: Boursier, Etienne, et al.
Published: (2022)
Geometry-induced Regularization in Deep ReLU Neural Networks
by: Bona-Pellissier, Joachim, et al.
Published: (2024)
by: Bona-Pellissier, Joachim, et al.
Published: (2024)
Function Gradient Approximation with Random Shallow ReLU Networks with Control Applications
by: Lamperski, Andrew, et al.
Published: (2024)
by: Lamperski, Andrew, et al.
Published: (2024)
Three Quantization Regimes for ReLU Networks
by: Ou, Weigutian, et al.
Published: (2024)
by: Ou, Weigutian, et al.
Published: (2024)
Dense ReLU Neural Networks for Temporal-spatial Model
by: Padilla, Carlos Misael Madrid, et al.
Published: (2024)
by: Padilla, Carlos Misael Madrid, et al.
Published: (2024)
Uncertainty Quantification with Bayesian Higher Order ReLU KANs
by: Giroux, James, et al.
Published: (2024)
by: Giroux, James, et al.
Published: (2024)
Component-based Sketching for Deep ReLU Nets
by: Wang, Di, et al.
Published: (2024)
by: Wang, Di, et al.
Published: (2024)
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)
The Geometry of ReLU Networks through the ReLU Transition Graph
by: Dhayalkar, Sahil Rajesh
Published: (2025)
by: Dhayalkar, Sahil Rajesh
Published: (2025)
Directional Convergence, Benign Overfitting of Gradient Descent in leaky ReLU two-layer Neural Networks
by: Hashimoto, Ichiro
Published: (2025)
by: Hashimoto, Ichiro
Published: (2025)
The Resurrection of the ReLU
by: Horuz, Coşku Can, et al.
Published: (2025)
by: Horuz, Coşku Can, et al.
Published: (2025)
Nonparametric regression using over-parameterized shallow ReLU neural networks
by: Yang, Yunfei, et al.
Published: (2023)
by: Yang, Yunfei, et al.
Published: (2023)
Pathwise Explanation of ReLU Neural Networks
by: Lim, Seongwoo, et al.
Published: (2025)
by: Lim, Seongwoo, et al.
Published: (2025)
Stochastic Differential Equations models for Least-Squares Stochastic Gradient Descent
by: Schertzer, Adrien, et al.
Published: (2024)
by: Schertzer, Adrien, et al.
Published: (2024)
Joint Learning in the Gaussian Single Index Model
by: Pillaud-Vivien, Loucas, et al.
Published: (2025)
by: Pillaud-Vivien, Loucas, et al.
Published: (2025)
Activation-Descent Regularization for Input Optimization of ReLU Networks
by: Yu, Hongzhan, et al.
Published: (2024)
by: Yu, Hongzhan, et al.
Published: (2024)
Relating Piecewise Linear Kolmogorov Arnold Networks to ReLU Networks
by: Schoots, Nandi, et al.
Published: (2025)
by: Schoots, Nandi, et al.
Published: (2025)
ReLU Networks for Exact Generation of Similar Graphs
by: Ghafoor, Mamoona, et al.
Published: (2026)
by: Ghafoor, Mamoona, et al.
Published: (2026)
Beyond ReLU: Chebyshev-DQN for Enhanced Deep Q-Networks
by: Yazdannik, Saman, et al.
Published: (2025)
by: Yazdannik, Saman, et al.
Published: (2025)
Benign Overfitting for Regression with Trained Two-Layer ReLU Networks
by: Park, Junhyung, et al.
Published: (2024)
by: Park, Junhyung, et al.
Published: (2024)
Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation
by: Holzmüller, David, et al.
Published: (2023)
by: Holzmüller, David, et al.
Published: (2023)
Forecasting time series with constraints
by: Doumèche, Nathan, et al.
Published: (2025)
by: Doumèche, Nathan, et al.
Published: (2025)
A Fine-Grained Understanding of Uniform Convergence for Halfspaces
by: Kontorovich, Aryeh, et al.
Published: (2026)
by: Kontorovich, Aryeh, et al.
Published: (2026)
Neural Networks Generalize on Low Complexity Data
by: Chatterjee, Sourav, et al.
Published: (2024)
by: Chatterjee, Sourav, et al.
Published: (2024)
Unveiling the Training Dynamics of ReLU Networks through a Linear Lens
by: Ye, Longqing
Published: (2025)
by: Ye, Longqing
Published: (2025)
Sufficient Conditions for Stability of Minimum-Norm Interpolating Deep ReLU Networks
by: Harzli, Ouns El, et al.
Published: (2026)
by: Harzli, Ouns El, et al.
Published: (2026)
Expressive Power of ReLU and Step Networks under Floating-Point Operations
by: Park, Yeachan, et al.
Published: (2024)
by: Park, Yeachan, et al.
Published: (2024)
Is ReLU Adversarially Robust?
by: Sooksatra, Korn, et al.
Published: (2024)
by: Sooksatra, Korn, et al.
Published: (2024)
Finite-Particle Convergence Rates for Conservative and Non-Conservative Drifting Models
by: Balasubramanian, Krishnakumar
Published: (2026)
by: Balasubramanian, Krishnakumar
Published: (2026)
O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions
by: Li, Gen, et al.
Published: (2024)
by: Li, Gen, et al.
Published: (2024)
RePO: Understanding Preference Learning Through ReLU-Based Optimization
by: Wu, Junkang, et al.
Published: (2025)
by: Wu, Junkang, et al.
Published: (2025)
On the Exponential Convergence for Offline RLHF with Pairwise Comparisons
by: Chen, Zhirui, et al.
Published: (2024)
by: Chen, Zhirui, et al.
Published: (2024)
$λ$-GELU: Learning Gating Hardness for Controlled ReLU-ization in Deep Networks
by: Pérez-Corral, Cristian, et al.
Published: (2026)
by: Pérez-Corral, Cristian, et al.
Published: (2026)
The Galerkin method beats Graph-Based Approaches for Spectral Algorithms
by: Cabannes, Vivien, et al.
Published: (2023)
by: Cabannes, Vivien, et al.
Published: (2023)
Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement
by: Liu, Hengjie, et al.
Published: (2026)
by: Liu, Hengjie, et al.
Published: (2026)
Uncovering Layer-Dependent Activation Sparsity Patterns in ReLU Transformers
by: Wild, Cody, et al.
Published: (2024)
by: Wild, Cody, et al.
Published: (2024)
Detecting Invariant Manifolds in ReLU-Based RNNs
by: Eisenmann, Lukas, et al.
Published: (2025)
by: Eisenmann, Lukas, et al.
Published: (2025)
Topological Signatures of ReLU Neural Network Activation Patterns
by: Bosca, Vicente, et al.
Published: (2025)
by: Bosca, Vicente, et al.
Published: (2025)
A Lower Bound for the Number of Linear Regions of Ternary ReLU Regression Neural Networks
by: Nakahara, Yuta, et al.
Published: (2025)
by: Nakahara, Yuta, et al.
Published: (2025)
Does Flatness imply Generalization for Logistic Loss in Univariate Two-Layer ReLU Network?
by: Qiao, Dan, et al.
Published: (2025)
by: Qiao, Dan, et al.
Published: (2025)
Similar Items
-
Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs
by: Boursier, Etienne, et al.
Published: (2022) -
Geometry-induced Regularization in Deep ReLU Neural Networks
by: Bona-Pellissier, Joachim, et al.
Published: (2024) -
Function Gradient Approximation with Random Shallow ReLU Networks with Control Applications
by: Lamperski, Andrew, et al.
Published: (2024) -
Three Quantization Regimes for ReLU Networks
by: Ou, Weigutian, et al.
Published: (2024) -
Dense ReLU Neural Networks for Temporal-spatial Model
by: Padilla, Carlos Misael Madrid, et al.
Published: (2024)