activity
20232026
most citedData-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning

4 citations · 12 across the 14 of their papers we have counts for

collaborators
Showing stat.MLShow all

2 papers · 1 filter

stat.ML2026

Is Flow Matching Just Trajectory Replay for Sequential Data?

Soon Hoe Lim, Shizheng Lin, Michael W. Mahoney +1

Flow matching (FM) is increasingly used in scientific domains for time series generation and forecasting, where data often arise from underlying dynamical systems. However, it is n…

stat.ML2024

Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting

Soon Hoe Lim, Yijin Wang, Annan Yu +4

Flow matching has recently emerged as a powerful paradigm for generative modeling and has been extended to probabilistic time series forecasting in latent spaces. However, the impa…