CHASM shares a learned channel eigenbasis across frequencies while keeping frequency-specific gains, consistently improving spectral token mixers in MRI and image reconstruction.
Vision-language models contain separate visual grounding and hallucination pathways whose components flip polarity to drive errors, and suppressing them cuts object hallucination by up to 76%.
Affine tracing unifies probabilistic linear solvers by showing Bayesian methods are non-stationary affine iterative methods that are calibrated, and automatically generates probabilistic multigrid solvers via symbolic computation graphs.