High-Dimensional Distribution Generation Through Deep Neural Networks

26 July 2021

Papers citing "High-Dimensional Distribution Generation Through Deep Neural Networks"

7 / 7 papers shown

Title
Consistency of Neural Causal Partial Identification Jiyuan Tan Jose Blanchet Vasilis Syrgkanis CML 32 0 0 24 May 2024
Convergence of flow-based generative models via proximal gradient descent in Wasserstein space Xiuyuan Cheng Jianfeng Lu Yixin Tan Yao Xie 106 15 0 26 Oct 2023
Normalizing flow neural networks by JKO scheme Chen Xu Xiuyuan Cheng Yao Xie 29 24 0 29 Dec 2022
Approximation bounds for norm constrained neural networks with applications to regression and GANs Yuling Jiao Yang Wang Yunfei Yang 34 19 0 24 Jan 2022
On the capacity of deep generative networks for approximating distributions Yunfei Yang Zhen Li Yang Wang 17 28 0 29 Jan 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,348 0 12 Dec 2018
Benefits of depth in neural networks Matus Telgarsky 136 602 0 14 Feb 2016