2 papers
cs.LG2026
Learning Implicit Bias in Generative Spaces for Accelerating Protein Dynamics Emulation
Kaihui Cheng, Zhiqiang Cai, Wenkai Xiang +4
Generative emulators of protein dynamics produce plausible trajectories at a fraction of the cost of molecular dynamics, but they inherit their training distribution and tend to re…
cs.LG2026
MolPIF: A Parameter Interpolation Flow Model for Molecule Generation
Yaowei Jin, Junjie Wang, Yufan Tang +11
Motivation: Structure-based drug design (SBDD) has advanced with deep generative models, but bridging the gap between continuous atomic coordinates and discrete atom types remains…