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stat.ML2025
On The Hidden Biases of Flow Matching Samplers
Soon Hoe Lim
Flow matching (FM) constructs continuous-time ODE samplers by prescribing probability paths between a base distribution and a target distribution. In this note, we study FM through…
stat.ML2020
Understanding Recurrent Neural Networks Using Nonequilibrium Response Theory
Soon Hoe Lim
Recurrent neural networks (RNNs) are brain-inspired models widely used in machine learning for analyzing sequential data. The present work is a contribution towards a deeper unders…