linear region

Compelling ReLU Networks to Exhibit Exponentially Many Linear Regions at Initialization and During Training ICML 2025 On the Local Complexity of Linear Regions in Deep ReLU Networks ICML 2025 Deep Networks Always Grok and Here is Why ICML 2024 What do Graph Neural Networks learn? Insights from Tropical Geometry NeurIPS 2024 Are All Linear Regions Created Equal? AISTATS 2022 Effects of Data Geometry in Early Deep Learning NeurIPS 2022 Estimation and Comparison of Linear Regions for ReLU Networks IJCAI 2022 On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias NeurIPS 2022 Tessellation-Filtering ReLU Neural Networks IJCAI 2022 Understanding the Evolution of Linear Regions in Deep Reinforcement Learning NeurIPS 2022 TropEx: An Algorithm for Extracting Linear Terms in Deep Neural Networks ICLR 2021 Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks ICML 2021 Empirical Bounds on Linear Regions of Deep Rectifier Networks AAAI 2020 Empirical Studies on the Properties of Linear Regions in Deep Neural Networks ICLR 2020 Functional vs. parametric equivalence of ReLU networks ICLR 2020 On the Number of Linear Regions of Convolutional Neural Networks ICML 2020 Complexity of Linear Regions in Deep Networks ICML 2019 Provable Robustness of ReLU networks via Maximization of Linear Regions AISTATS 2019 Bounding and Counting Linear Regions of Deep Neural Networks ICML 2018 On the Number of Linear Regions of Deep Neural Networks NeurIPS 2014