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cs.LG2026
Score Approximation for Diffusion Models on Arbitrary Low-Dimensional Structures
Xinhe Mu, Zaijiu Shang, Zhaoqi Zhou +4
The remarkable success of score-based diffusion models has spurred significant efforts to establish their theoretical foundations. However, existing complexity bounds for score app…
cs.LG2026
UniFluids: Unified Neural Operator Learning with Conditional Flow-matching
Haosen Li, Qi Meng, Jiahao Li +4
Partial differential equation (PDE) simulation holds extensive significance in scientific research. Currently, the integration of deep neural networks to learn solution operators o…
cs.LG2025
Riemannian Neural Geodesic Interpolant
Jiawen Wu, Bingguang Chen, Yuyi Zhou +3
Stochastic interpolants are efficient generative models that bridge two arbitrary probability density functions in finite time, enabling flexible generation from the source to the…