diffusion-based models
PulseAugur coverage of diffusion-based models — every cluster mentioning diffusion-based models across labs, papers, and developer communities, ranked by signal.
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Review finds unsupervised generative models show promise for neuroimaging anomaly detection
A systematic scoping review published on arXiv examines the application of unsupervised deep generative models for anomaly detection in neuroimaging. The review, which analyzed 33 studies from January 2018 to December 2…
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New research questions tabular data generation progress, favors probabilistic circuits
A new paper challenges the current state-of-the-art in tabular data generation, arguing that diffusion-based models, while seemingly effective, are largely succeeding due to inadequate evaluation metrics. Researchers Dy…
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New methods enhance safety and efficiency in autoregressive image generation
Researchers have developed a novel method for enhancing the safety of autoregressive image generation models by iteratively improving their codebooks. This approach leverages the model's own understanding to identify an…
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New UCD method enhances 3D molecular graph generation
Researchers have developed a new method called Uncertainty-Calibrated Diffusion (UCD) to improve the generation of 3D molecular graphs. This technique addresses the issue of epistemic uncertainty in diffusion models, wh…