Mean-field neural networks: learning mappings on Wasserstein space

27 October 2022

Papers citing "Mean-field neural networks: learning mappings on Wasserstein space"

6 / 6 papers shown

Title
Identification of Mean-Field Dynamics using Transformers Shiba Biswal Karthik Elamvazhuthi Rishi Sonthalia AI4CE 21 1 0 06 Oct 2024
Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes Haoming Yang Ali Hasan Yuting Ng Vahid Tarokh DiffM 31 4 0 15 Apr 2024
Actor critic learning algorithms for mean-field control with moment neural networks Huyen Pham X. Warin 27 5 0 08 Sep 2023
Quantile and moment neural networks for learning functionals of distributions X. Warin 11 2 0 20 Mar 2023
Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations Arnulf Jentzen Adrian Riekert Philippe von Wurstemberger 16 1 0 07 Feb 2023
Mean-field neural networks-based algorithms for McKean-Vlasov control problems * Huyen Pham X. Warin 14 9 0 22 Dec 2022