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stat.ML2025
Generalization Dynamics of Linear Diffusion Models
Claudia Merger, Sebastian Goldt
Diffusion models are powerful generative models that produce high-quality samples from complex data. While their infinite-data behavior is well understood, their generalization wit…
stat.ML2025
Two failure modes of deep transformers and how to avoid them: a unified theory of signal propagation at initialisation
Alessio Giorlandino, Sebastian Goldt
Finding the right initialisation for neural networks is crucial to ensure smooth training and good performance. In transformers, the wrong initialisation can lead to one of two fai…