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cs.LG2026
Layerwise Decoupling for Stable Structured Sparsification of Fully Connected Layers
Charles Kulick, Armenak Petrosyan, Sui Tang
We propose a decoupled, layerwise method for structurally sparsifying the fully connected layers of pretrained neural networks. Rather than penalizing all layers jointly, our appro…
cs.LG2026
Transformers Can Implement Preconditioned Richardson Iteration for In-Context Gaussian Kernel Regression
Mingsong Yan, Dongyang Li, Charles Kulick +1
In this paper, we study in-context kernel ridge regression (KRR) with Gaussian kernels and show, both theoretically and empirically, that a standard softmax-attention transformer c…