Saved in:
| Main Author: | Ewald, Patrícia Muñoz |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.18710 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Interpretable global minima of deep ReLU neural networks on sequentially separable data
by: Chen, Thomas, et al.
Published: (2024)
by: Chen, Thomas, et al.
Published: (2024)
Progressive Feedforward Collapse of ResNet Training
by: Wang, Sicong, et al.
Published: (2024)
by: Wang, Sicong, et al.
Published: (2024)
Input Convex Kolmogorov Arnold Networks
by: Deschatre, Thomas, et al.
Published: (2025)
by: Deschatre, Thomas, et al.
Published: (2025)
Generative modeling of conditional probability distributions on the level-sets of collective variables
by: Akhyar, Fatima-Zahrae, et al.
Published: (2025)
by: Akhyar, Fatima-Zahrae, et al.
Published: (2025)
Nesterov acceleration despite very noisy gradients
by: Gupta, Kanan, et al.
Published: (2023)
by: Gupta, Kanan, et al.
Published: (2023)
Exact Sequence Interpolation with Transformers
by: Alcalde, Albert, et al.
Published: (2025)
by: Alcalde, Albert, et al.
Published: (2025)
Learning time-scales in two-layers neural networks
by: Berthier, Raphaël, et al.
Published: (2023)
by: Berthier, Raphaël, et al.
Published: (2023)
Geometric structure of shallow neural networks and constructive ${\mathcal L}^2$ cost minimization
by: Chen, Thomas, et al.
Published: (2023)
by: Chen, Thomas, et al.
Published: (2023)
Progressive Power Homotopy for Non-convex Optimization
by: Xu, Chen
Published: (2026)
by: Xu, Chen
Published: (2026)
On the existence of minimizers in shallow residual ReLU neural network optimization landscapes
by: Dereich, Steffen, et al.
Published: (2023)
by: Dereich, Steffen, et al.
Published: (2023)
Zero-Sum Positional Differential Games as a Framework for Robust Reinforcement Learning: Deep Q-Learning Approach
by: Plaksin, Anton, et al.
Published: (2024)
by: Plaksin, Anton, et al.
Published: (2024)
Diagonal Linear Networks and the Lasso Regularization Path
by: Berthier, Raphaël
Published: (2025)
by: Berthier, Raphaël
Published: (2025)
Comparing Deep Reinforcement Learning Algorithms in Two-Echelon Supply Chains
by: Stranieri, Francesco, et al.
Published: (2022)
by: Stranieri, Francesco, et al.
Published: (2022)
Supplementary Materials to Graph Convolutional Branch and Bound
by: Sciandra, Lorenzo, et al.
Published: (2024)
by: Sciandra, Lorenzo, et al.
Published: (2024)
Recent Advances in Non-convex Smoothness Conditions and Applicability to Deep Linear Neural Networks
by: Patel, Vivak, et al.
Published: (2024)
by: Patel, Vivak, et al.
Published: (2024)
Convergence of gradient descent for deep neural networks
by: Chatterjee, Sourav
Published: (2022)
by: Chatterjee, Sourav
Published: (2022)
Geometric structure of Deep Learning networks and construction of global ${\mathcal L}^2$ minimizers
by: Chen, Thomas, et al.
Published: (2023)
by: Chen, Thomas, et al.
Published: (2023)
Continuous-time Online Learning via Mean-Field Neural Networks: Regret Analysis in Diffusion Environments
by: Bayraktar, Erhan, et al.
Published: (2026)
by: Bayraktar, Erhan, et al.
Published: (2026)
On non-approximability of zero loss global ${\mathcal L}^2$ minimizers by gradient descent in Deep Learning
by: Chen, Thomas, et al.
Published: (2023)
by: Chen, Thomas, et al.
Published: (2023)
Convexity and strict convexity for compositional neural networks in high-dimensional optimal control
by: Grüne, Lars, et al.
Published: (2025)
by: Grüne, Lars, et al.
Published: (2025)
Quantum-Inspired DRL Approach with LSTM and OU Noise for Cut Order Planning Optimization
by: Chrisnanto, Yulison Herry, et al.
Published: (2025)
by: Chrisnanto, Yulison Herry, et al.
Published: (2025)
On the existence of optimal shallow feedforward networks with ReLU activation
by: Dereich, Steffen, et al.
Published: (2023)
by: Dereich, Steffen, et al.
Published: (2023)
Efficient compression of neural networks and datasets
by: Barth, Lukas Silvester, et al.
Published: (2025)
by: Barth, Lukas Silvester, et al.
Published: (2025)
Relu and softplus neural nets as zero-sum turn-based games
by: Gaubert, Stephane, et al.
Published: (2025)
by: Gaubert, Stephane, et al.
Published: (2025)
Cluster-based classification with neural ODEs via control
by: Álvarez-López, Antonio, et al.
Published: (2023)
by: Álvarez-López, Antonio, et al.
Published: (2023)
ADAPT: Lightweight, Long-Range Machine Learning Force Fields Without Graphs
by: Dramko, Evan, et al.
Published: (2025)
by: Dramko, Evan, et al.
Published: (2025)
Stabilized neural Hamilton--Jacobi--Bellman solvers: Error analysis and applications in model-based reinforcement learning
by: Kim, Minseok, et al.
Published: (2026)
by: Kim, Minseok, et al.
Published: (2026)
Hamilton-Jacobi Based Policy-Iteration via Deep Operator Learning
by: Lee, Jae Yong, et al.
Published: (2024)
by: Lee, Jae Yong, et al.
Published: (2024)
Objective Value Change and Shape-Based Accelerated Optimization for the Neural Network Approximation
by: Xie, Pengcheng, et al.
Published: (2025)
by: Xie, Pengcheng, et al.
Published: (2025)
Correcting Stochastic Update Bias in Preconditioned Language Model Optimizers
by: Nayak, Nikhil, et al.
Published: (2026)
by: Nayak, Nikhil, et al.
Published: (2026)
Tracking the Median of Gradients with a Stochastic Proximal Point Method
by: Schaipp, Fabian, et al.
Published: (2024)
by: Schaipp, Fabian, et al.
Published: (2024)
Control randomisation approach for policy gradient and application to reinforcement learning in optimal switching
by: Denkert, Robert, et al.
Published: (2024)
by: Denkert, Robert, et al.
Published: (2024)
Constructive interpolation and generalization rates for neural ODEs: a control perspective
by: Álvarez-López, Antonio, et al.
Published: (2026)
by: Álvarez-López, Antonio, et al.
Published: (2026)
Representation and Regression Problems in Neural Networks: Relaxation, Generalization, and Numerics
by: Liu, Kang, et al.
Published: (2024)
by: Liu, Kang, et al.
Published: (2024)
Gradient flow in parameter space is equivalent to linear interpolation in output space
by: Chen, Thomas, et al.
Published: (2024)
by: Chen, Thomas, et al.
Published: (2024)
From Features to Graphs: Exploring Graph Structures and Pairwise Interactions via GNNs
by: Yamchote, Phaphontee, et al.
Published: (2025)
by: Yamchote, Phaphontee, et al.
Published: (2025)
Influence-Inspired Spectral Rotations for Extreme Low-Bit LLM Quantization
by: Pavlov, Gorgi
Published: (2026)
by: Pavlov, Gorgi
Published: (2026)
Safety Margins for Reinforcement Learning
by: Grushin, Alexander, et al.
Published: (2023)
by: Grushin, Alexander, et al.
Published: (2023)
Edge-based Parametric Digital Twins for Intelligent Building Indoor Climate Modeling
by: Ni, Zhongjun, et al.
Published: (2024)
by: Ni, Zhongjun, et al.
Published: (2024)
Criticality and Safety Margins for Reinforcement Learning
by: Grushin, Alexander, et al.
Published: (2024)
by: Grushin, Alexander, et al.
Published: (2024)
Similar Items
-
Interpretable global minima of deep ReLU neural networks on sequentially separable data
by: Chen, Thomas, et al.
Published: (2024) -
Progressive Feedforward Collapse of ResNet Training
by: Wang, Sicong, et al.
Published: (2024) -
Input Convex Kolmogorov Arnold Networks
by: Deschatre, Thomas, et al.
Published: (2025) -
Generative modeling of conditional probability distributions on the level-sets of collective variables
by: Akhyar, Fatima-Zahrae, et al.
Published: (2025) -
Nesterov acceleration despite very noisy gradients
by: Gupta, Kanan, et al.
Published: (2023)