New #TMLR-Paper-with-Video:

Benford’s Law as a Distributional Prior for Post-Training Quantization of Large Language Models

Arthur Negrão de Faria Martins da Costa, Pedro Silva, Vander L. S. Freitas et al.

https://tmlr.infinite-conf.org/paper_pages/YiLcQY4Nje

#quantization #tensors

Learning-to-rank helps pick faster tensor network contraction plans for GPU-based quantum circuit simulation by scoring plans from past GPU measurements before execution.

#QuantumComputing #GPUs #Tensors #ML
https://arxiv.org/abs/2608.05819

Benford’s Law as a Distributional Prior for Post-Training Quantization of Large Language Models

Arthur Negrão de Faria Martins da Costa, Pedro Silva, Vander L. S. Freitas et al.

Action editor: Naigang Wang

https://openreview.net/forum?id=YiLcQY4Nje

#quantization #tensors #memory