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Nathanaël Haas

1 paper here

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.LG1

identity via Semantic Scholar / OpenAlex

collaborators

1 paper

cs.LG2026

Dense Structural Compression of Transformers via Gauge-Correct Channel Removal

Jed A. Duersch, Naïm Es-Sebbani, Nathanaël Haas +1

Inference energy per token drives the cost and carbon footprint of deployed transformers. It is dominated by dense matrix products that incur fused multiply-accumulate (FMA) operat…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.