1 code implementation • 9 May 2024 • Zhao Ding, Chenguang Duan, Yuling Jiao, Ruoxuan Li, Jerry Zhijian Yang, Pingwen Zhang
We propose the characteristic generator, a novel one-step generative model that combines the efficiency of sampling in Generative Adversarial Networks (GANs) with the stable performance of flow-based models.
1 code implementation • 2 Feb 2024 • Jinyuan Chang, Zhao Ding, Yuling Jiao, Ruoxuan Li, Jerry Zhijian Yang
We introduce an Ordinary Differential Equation (ODE) based deep generative method for learning a conditional distribution, named the Conditional Follmer Flow.
no code implementations • 9 Jan 2024 • Zhao Ding, Chenguang Duan, Yuling Jiao, Jerry Zhijian Yang
We propose SDORE, a semi-supervised deep Sobolev regressor, for the nonparametric estimation of the underlying regression function and its gradient.
no code implementations • 6 Jul 2023 • Li Jiang, Sijie Chen, JieLin Qiu, Haoran Xu, Wai Kin Chan, Zhao Ding
The prevalent use of benchmarks in current offline reinforcement learning (RL) research has led to a neglect of the imbalance of real-world dataset distributions in the development of models.