3 papers
cs.LG2025
Semantically-Guided Inference for Conditional Diffusion Models: Enhancing Covariate Consistency in Time Series Forecasting
Rui Ding, Hanyang Meng, Zeyang Zhang +1
Diffusion models have demonstrated strong performance in time series forecasting, yet often suffer from semantic misalignment between generated trajectories and conditioning covari…
cs.LG2025
Towards a Reward-Free Reinforcement Learning Framework for Vehicle Control
Jielong Yang, Daoyuan Huang
Reinforcement learning plays a crucial role in vehicle control by guiding agents to learn optimal control strategies through designing or learning appropriate reward signals. Howev…
cs.CV2025
Resource-Efficient Motion Control for Video Generation via Dynamic Mask Guidance
Sicong Feng, Jielong Yang, Li Peng
Recent advances in diffusion models bring new vitality to visual content creation. However, current text-to-video generation models still face significant challenges such as high t…