Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Kastor: An efficient fine-tuning strategy for generative emulation of PDE simulations
Guillaume Couairon, Alexis Jacq, Yu-Han Wu +4
Machine learning offers a promising avenue to accelerate physical simulations by replacing computationally expensive traditional Partial Differential Equation (PDE) solvers with fa…
cs.LG2026
Understanding diffusion models requires rethinking (again) generalization
Pierre Marion, Yu-Han Wu
This position paper argues that understanding generalization in diffusion models requires fundamentally new theoretical frameworks that go beyond both classical statistical learnin…