relu

Agnostic Learning of Arbitrary ReLU Activation under Gaussian Marginals COLT 2025 Compelling ReLU Networks to Exhibit Exponentially Many Linear Regions at Initialization and During Training ICML 2025 Complexity of Injectivity and Verification of ReLU Neural Networks (Extended Abstract) COLT 2025 Differential Coding for Training-Free ANN-to-SNN Conversion ICML 2025 Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs ICML 2025 Floating-Point Neural Networks Can Represent Almost All Floating-Point Functions ICML 2025 Logarithmic Width Suffices for Robust Memorization COLT 2025 On the Hardness of Learning One Hidden Layer Neural Networks ALT 2025 Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Time ICML 2024 Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation ICML 2024 ReLU Network with Width d+O(1) Can Achieve Optimal Approximation Rate ICML 2024 ReLUs Are Sufficient for Learning Implicit Neural Representations ICML 2024 ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages ICML 2024 Stochastic Bandits with ReLU Neural Networks ICML 2024 Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes ICML 2024