no code implementations • 21 Apr 2024 • Donghuo Zeng, Roberto S. Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang
In this paper, we present a novel approach that tracks a user's latent personality dimensions (LPDs) during ongoing persuasion conversation and generates tailored counterfactual utterances based on these LPDs to optimize the overall persuasion outcome.
no code implementations • 25 Jan 2024 • Guangyi Chen, Yifan Shen, Zhenhao Chen, Xiangchen Song, Yuewen Sun, Weiran Yao, Xiao Liu, Kun Zhang
Identifying the underlying time-delayed latent causal processes in sequential data is vital for grasping temporal dynamics and making downstream reasoning.
no code implementations • 30 Dec 2023 • Shuo Xu, Yucheng Zhang, Gang Chen, Xincheng Xiang, Peng Cong, Yuewen Sun
In this study, we propose a fully unsupervised framework called Deep Radon Prior (DRP), inspired by Deep Image Prior (DIP), to address the aforementioned limitations.
2 code implementations • 11 Oct 2021 • Weiran Yao, Yuewen Sun, Alex Ho, Changyin Sun, Kun Zhang
In this work, we consider both a nonparametric, nonstationary setting and a parametric setting for the latent processes and propose two provable conditions under which temporally causal latent processes can be identified from their nonlinear mixtures.
2 code implementations • ICLR 2022 • Weiran Yao, Yuewen Sun, Alex Ho, Changyin Sun, Kun Zhang
Our goal is to find time-delayed latent causal variables and identify their relations from temporal measured variables.