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parameter complexity

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Co-occurring keywords · papers mentioning both

neural network optimization (2) port-hamiltonian system (1) uniform expressivity (1) neural density estimator (1) structure-preserving learning (1) high-dimensional target (1) parameter model (1) memorization capacity (1) bijective mapping (1) neural network (1)

Papers

Is uniform expressivity too restrictive? Towards efficient expressivity of GNNs ICLR 2025 On the Optimal Memorization Capacity of Transformers ICLR 2025 Learnability of high-dimensional targets by two-parameter models and gradient flow NeurIPS 2024 Learnability of Linear Port-Hamiltonian Systems JMLR 2024 On the Optimal Memorization Power of ReLU Neural Networks ICLR 2022 NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity NeurIPS 2020 Understanding Generalization and Optimization Performance of Deep CNNs ICML 2018