T. Konstantin Rusch

Explicitly modeling cross-layer information flow as a memory retrieval problem unlocks a linear-time attention alternative that outperforms existing methods.

Fixed-point convergence enables adaptive computation in reasoning tasks, allowing models to efficiently tackle complex challenges without unnecessary resource expenditure.

Low-Pass Flow Matching reduces sampling costs while enhancing image quality by aligning flow matching with the natural frequency decay of data.