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20182026
most citedHCiM: ADC-Less Hybrid Analog-Digital Compute in Memory Accelerator for Deep Learning Workloads

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

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cs.CV2026

DC-DiT: Adaptive Compute and Elastic Inference for Visual Generation via Dynamic Chunking

Akash Haridas, Utkarsh Saxena, Parsa Ashrafi Fashi +3

Diffusion Transformers rely on static patchify tokenization, assigning the same token budget to smooth backgrounds, detailed object regions, noisy early timesteps, and late-stage r…