6 papers
HilbertGen-3D:Hilbert--Multifractal Conditioning for Topology-Aware 3D Generation
Ziyi Zhang, Shixuan Li, Yorie Nakahira +2
High-fidelity 3D generative modeling underpins game asset creation, medical imaging, and VR/AR environmental design, where geometric structure directly influences perception and de…
UAVGENT: A Language-Guided Distributed Control Framework
Ziyi Zhang, Xiyu Deng, Guannan Qu +1
We study language-in-the-loop control for multi-drone systems that execute evolving, high-level missions while retaining formal robustness guarantees at the physical layer. We prop…
Polynomial Convergence of Riemannian Diffusion Models
Xingyu Xu, Ziyi Zhang, Yorie Nakahira +2
Diffusion models have demonstrated remarkable empirical success in the recent years and are considered one of the state-of-the-art generative models in modern AI. These models cons…
Stabilizing Linear Systems under Partial Observability: Sample Complexity and Fundamental Limits
Ziyi Zhang, Yorie Nakahira, Guannan Qu
We study the problem of stabilizing an unknown partially observable linear time-invariant (LTI) system. For fully observable systems, leveraging an unstable/stable subspace decompo…
Predictive Control and Regret Analysis of Non-Stationary MDP with Look-ahead Information
Ziyi Zhang, Yorie Nakahira, Guannan Qu
Policy design in non-stationary Markov Decision Processes (MDPs) is inherently challenging due to the complexities introduced by time-varying system transition and reward, which ma…
Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise
Ziyi Zhang, Yorie Nakahira, Guannan Qu
We study the problem of learning to stabilize unknown noisy Linear Time-Invariant (LTI) systems on a single trajectory. It is well known in the literature that the learn-to-stabili…