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20232026
most citedADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models

46 citations · 47 across the 16 of their papers we have counts for

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2 papers · 1 filter

cs.LG2026

Diffuse to Detect: Generative Diffusion Models for Unsupervised IC Anomaly Detection

Yuxuan Yin, Chen He, Todd Jacobs +4

Latent defect screening is challenged by extremely low failure rates, high-dimensional test data, and absence of labeled anomalies. We propose the first unsupervised anomaly detect…

cs.CV2026

Sparse Forcing: Native Trainable Sparse Attention for Real-time Autoregressive Diffusion Video Generation

Boxun Xu, Yuming Du, Zichang Liu +7

We introduce Sparse Forcing, a training-and-inference paradigm for autoregressive video diffusion models that improves long-horizon generation quality while reducing decoding laten…