ML Anthology

Di, Xuan

11 publications

ICLRW 2025 Balanced Latent Space of Diffusion Models for Counterfactual Generation Baohua Yan, Qingyuan Liu, Zhaobin Mo, Kangrui Ruan, Xuan Di
ICLRW 2025 Efficient Consistency Model Training for Policy Distillation in Reinforcement Learning Bowen Fang, Xuan Di
ICLRW 2025 Moment Neural Operator: Interpretable Mapping in Discontinuous Function Spaces Qi Gao, Kuang Huang, Xuan Di
ICLR 2025 Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation Chenyu Zhang, Xu Chen, Xuan Di
NeurIPS 2024 Causal Imitation for Markov Decision Processes: A Partial Identification Approach Kangrui Ruan, Junzhe Zhang, Xuan Di, Elias Bareinboim
ICML 2024 Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm Fuzhong Zhou, Chenyu Zhang, Xu Chen, Xuan Di
ICLR 2023 Causal Imitation Learning via Inverse Reinforcement Learning Kangrui Ruan, Junzhe Zhang, Xuan Di, Elias Bareinboim
ICMLW 2023 Physics-Informed Neural Operator for Coupled Forward-Backward Partial Differential Equations Xu Chen, Yongjie Fu, Shuo Liu, Xuan Di
AAAI 2022 Learning Human Driving Behaviors with Sequential Causal Imitation Learning Kangrui Ruan, Xuan Di
ECML-PKDD 2022 TrafficFlowGAN: Physics-Informed Flow Based Generative Adversarial Network for Uncertainty Quantification Zhaobin Mo, Yongjie Fu, Daran Xu, Xuan Di
AAAI 2021 Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed by Second-Order Traffic Models Rongye Shi, Zhaobin Mo, Xuan Di