Sungsoo Ahn

4 papers KAIST

• Energy-based generator matching: A neural sampler for general state space
• Flexible MOF Generation with Torsion-Aware Flow Matching
• High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction
• On scalable and efficient training of diffusion samplers