Frequency-guided flow generation? No, not just frequency, but energy (Part II)
A physicist’s view of K-Flow, from continuity equations and Hamiltonian transport to renormalization-group-inspired scale evolution.
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Exploring the depths of AI and physics
Frequency-guided flow generation? No, not just frequency, but energy (Part I)
Why is energy the essence of generation? We introduce K-Flow, a generative framework that aligns the flow path with the frequency and energy of the data by modeling in the K-amplitude space.
From AlphaFold to InertialAR: Reshaping 3D Molecular Structure Perception in Transformers (Part 1)
Bringing Transformers into 3D molecule generation via inertial frame canonicalization, geometry-aware positional encoding, and discrete-continuous joint autoregressive generation