MicroQonv: Reshaping Convolution Tensors for Efficient Microscaling in Training and Inference.

arXiv:2609.28358v1 Announce Type: cross Abstract: Microscaling quantization techniques are increasingly used to represent neural network parameters with 8 bits or fewer while preserving near-full precision accuracy. However, applying these methods efficiently