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20242026
most citedAIRCHITECT v2: Learning the Hardware Accelerator Design Space through Unified Representations

1 citations · 2 across the 8 of their papers we have counts for

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cs.CV2025

OuroMamba: A Data-Free Quantization Framework for Vision Mamba

Akshat Ramachandran, Mingyu Lee, Huan Xu +2

We present OuroMamba, the first data-free post-training quantization (DFQ) method for vision Mamba-based models (VMMs). We identify two key challenges in enabling DFQ for VMMs, (1)…

cs.CV2024★ 1 cited

CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTs

Akshat Ramachandran, Souvik Kundu, Tushar Krishna

We present CLAMP-ViT, a data-free post-training quantization method for vision transformers (ViTs). We identify the limitations of recent techniques, notably their inability to lev…