Shervin Khalafi
2 indexed papers
Recent (6 mo)
2With code
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226
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ML×2AI×2Optimization and Control×1Stats ML×1
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Research Timeline
2026
Unlearning in Diffusion Models: A Unified Framework with KL Divergence and Likelihood Constraints
The paper proposes a unified, constrained optimization framework using KL divergence and likelihood constraints to achieve effective and principled unlearning in diffusion models.
Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion
This paper introduces Spectral Attention and Graph Convolutional Attention (GCA) for denoising graphs, which outperforms linear attention and provably utilizes the input graph spectrum.
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Papers
cs.LGcs.AIEmpiricalRecentJul 7, 2026
Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion
This paper introduces Spectral Attention and Graph Convolutional Attention (GCA) for denoising graphs, which outperforms linear attention and provably utilizes the input graph spectrum.
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cs.LGcs.AImath.OCRecent