Irina Rish
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This paper proposes a method to recover recoverability structure from failed traces of post-trained language models, enabling test-time routing and post-training analysis.
This paper explores the effects of geometric perturbations on the stability of diffusion architectures, specifically Diffusion Transformers and Convolutional UNets, using a unified framework and controlled internal interventions.
Papers
When Geometry Aligns: Dihedral Hidden-State Transformations in UNet, ViT, and DiT Architectures
This paper explores the effects of geometric perturbations on the stability of diffusion architectures, specifically Diffusion Transformers and Convolutional UNets, using a unified framework and contr…