2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Gradient Flow Matching for Learning Update Dynamics in Neural Network Training
Xiao Shou, Yanna Ding, Jianxi Gao
Training deep neural networks remains computationally intensive due to the itera2 tive nature of gradient-based optimization. We propose Gradient Flow Matching (GFM), a continuous-…
nlin.AO2025★ 2 cited
Efficient parameter inference in networked dynamical systems via steady states: A surrogate objective function approach integrating mean-field and nonlinear least squares
Yanna Ding, Malik Magdon-Ismail, Jianxi Gao
In networked dynamical systems, inferring governing parameters is crucial for predicting nodal dynamics, such as gene expression levels, species abundance, or population density. W…