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Alireza Naderi

2 accepted papers

2025

Mind the Gap: a Spectral Analysis of Rank Collapse and Signal Propagation in Attention Layers

ICML 2025poster

Attention layers are the core component of transformers, the current state-of-the-art neural network architecture. Alternatives to softmax-based attention are being explored due to its tendency to hinder effective information flow. Even *at initialisation*, it remains poorly understood why the propa…

Cited by 0SourcePDFScholar
2024

Beyond IID weights: sparse and low-rank deep Neural Networks are also Gaussian Processes

ICLR 2024poster

The infinitely wide neural network has been proven a useful and manageable mathematical model that enables the understanding of many phenomena appearing in deep learning. One example is the convergence of random deep networks to Gaussian processes that enables a rigorous analysis of the way the choi…

Cited by 1SourcePDFScholar