relu network

A Depth Hierarchy for Computing the Maximum in ReLU Networks via Extremal Graph Theory COLT 2026 Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds AAAI 2026 Online Realizable Regression and Applications for ReLU Networks COLT 2026 Optimal Neural Network Approximation of Smooth Compositional Functions on Sets with Low Intrinsic Dimension COLT 2026 Optimization and Generalization of Gradient Descent for Shallow ReLU Networks with Minimal Width JMLR 2026 When Both Layers Learn: Training Dynamics of Representing Linear Models via ReLU Networks COLT 2026 Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes ICML 2025 A Rescaling-Invariant Lipschitz Bound Based on Path-Metrics for Modern ReLU Network Parameterizations ICML 2025 Convex Formulations for Training Two-Layer ReLU Neural Networks ICLR 2025 Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation JMLR 2025 Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks ICLR 2025 How many samples are needed to train a deep neural network? ICLR 2025 In-Context Deep Learning via Transformer Models ICML 2025 Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks ICLR 2025 On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations ICCV 2025 On the Local Complexity of Linear Regions in Deep ReLU Networks ICML 2025 Relating Piecewise Linear Kolmogorov Arnold Networks to ReLU Networks AISTATS 2025 Simplicity Bias and Optimization Threshold in Two-Layer ReLU Networks ICML 2025 Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification JMLR 2025 Activation-Descent Regularization for Input Optimization of ReLU Networks ICML 2024 A path-norm toolkit for modern networks: consequences, promises and challenges ICLR 2024 Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data ICLR 2024 Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks JMLR 2024 Classification with Deep Neural Networks and Logistic Loss JMLR 2024 Complexity Matters: Feature Learning in the Presence of Spurious Correlations ICML 2024