Neural Network Architecture Beyond Width and Depth

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Neural Network Architecture Beyond Width and Depth

Neural Information Processing Systems (NeurIPS), 2022

19 May 2022

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Papers citing "Neural Network Architecture Beyond Width and Depth"

9 / 9 papers shown

Title
On the Generalization Properties of Learning the Random Feature Models with Learnable Activation Functions Zailin Ma Jiansheng Yang Yaodong Yang 52 0 0 17 Oct 2025
QuIRK: Quantum-Inspired Re-uploading KAN Vinayak Sharma Ashish Padhy Lord Sen Vijay Jagdish Karanjkar Sourav Behera Shyamapada Mukherjee Aviral Shrivastava 76 0 0 09 Oct 2025
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections Anastasis Kratsios Bum Jun Kim Takashi Furuya 248 1 0 21 Apr 2025
Learning Expressive Random Feature Models via Parametrized Activations Zailin Ma Jiansheng Yang Yaodong Yang 397 1 0 29 Nov 2024
KAN we improve on HEP classification tasks? Kolmogorov-Arnold Networks applied to an LHC physics exampleComputing and Software for Big Science (CSBS), 2024 Johannes Erdmann F. Mausolf Jan Lukas Späh 496 5 0 05 Aug 2024
KAN: Kolmogorov-Arnold Networks Ziming Liu Yixuan Wang Sachin Vaidya Fabian Ruehle James Halverson Marin Soljacic Thomas Y. Hou Max Tegmark 812 1,124 0 30 Apr 2024
Operator Learning: Algorithms and Analysis Nikola B. Kovachki S. Lanthaler Andrew M. Stuart 355 64 0 24 Feb 2024
On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU NetworkInternational Conference on Machine Learning (ICML), 2023 Shijun Zhang Jianfeng Lu Hongkai Zhao CoGe 182 7 0 29 Jan 2023
Universal Regular Conditional DistributionsConstructive approximation (Constr. Approx.), 2021 Anastasis Kratsios 283 3 0 17 May 2021