no code implementations • 30 Apr 2024 • Yuto Nakashima, Mingzhe Yang, Yukino Baba
Generating preferred images using generative adversarial networks (GANs) is challenging owing to the high-dimensional nature of latent space.
no code implementations • 28 Dec 2023 • Bing Yuan, Zhang Jiang, Aobo Lyu, Jiayun Wu, Zhipeng Wang, Mingzhe Yang, Kaiwei Liu, Muyun Mou, Peng Cui
Causal emergence theory aims to bridge these two concepts and even employs measures of causality to quantify emergence.
no code implementations • 19 Aug 2023 • Mingzhe Yang, Zhipeng Wang, Kaiwei Liu, Yingqi Rong, Bing Yuan, Jiang Zhang
Quantifying emergence and modeling emergent dynamics in a data-driven manner for complex dynamical systems is challenging due to the lack of direct observations at the micro-level.
1 code implementation • 27 Jun 2020 • Mingzhe Yang, Yukino Baba
In this study, we apply these to iterative machine teaching for estimating the true labels of teaching examples along with student models that are used for teaching.