#flow matching
23 papers · 1 filter
Enhancing Irregular Time Series Forecasting with Continuous-Time Modeling Framework
Tianen Shen, Zhengyu Li, Yutong Li +4
The paper introduces WrapFlow, a framework that directly tokenizes irregular multivariate time‑series observations into continuous‑time tokens and uses a Transformer with a simulat…
The Geometry of Flow-Matching Uncertainty: A Cost-free Uncertainty Proxy and Its Application in Flow-based VLA Failure Detection
Ziyang Rao, Yiren Zhao, Weiyu Guo +3
The paper interprets uncertainty in flow‑matching based action models as geometric deviation in the velocity field and proposes a cost‑free proxy called denoising acceleration that…
Latent-Kernel Discrete Flow Maps for Few-Step Generation
Mansoor Ahmed, Yue-Tsz Fan, Hemanth Venkateswara +1
The paper proposes Latent‑Kernel Discrete Flow Maps, a flow‑based model that uses a shared latent variable to tie together multiple factorized components, enabling correlated updat…
Failure Detection for Surgical Robot Imitation Policies via Flow-Matching World Modeling
Zhefeng Huang, Yilin Cai, Ankit Patel +3
The paper presents FoMo-FD, a method that detects failures in robot-assisted surgery by learning short-term visual dynamics with an action‑conditioned flow‑matching world model, al…
SE(3)-MeanFlow: Few-Step Protein Backbone Generation on Lie Groups
Yikun Bai, Binghang Lu, Yikai Liu +7
The paper presents SE(3)-MeanFlow, a generative model that creates protein backbone structures directly on the SE(3) Lie group using a few inference steps, avoiding costly ODE inte…
BridgeFlow: Fast and Robust SE(2)-Equivariant Motion Planning with Flow Matching
Xinzhe Zhou, Xuyang Wang, Xiaoming Duan +1
BridgeFlow is a generative motion planning method that achieves exact SE(2) equivariance through a lightweight canonicalization step and uses a Brownian bridge prior with optimal t…