Deep Equilibrium Models
PulseAugur coverage of Deep Equilibrium Models — every cluster mentioning Deep Equilibrium Models across labs, papers, and developer communities, ranked by signal.
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Response Renormalization improves Deep Equilibrium Model training stability
Researchers have developed a new framework called Response Renormalization to improve the training stability of Deep Equilibrium Models (DEQs). This method addresses issues with near-singular Jacobians that can lead to …
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New geometry-based DEQ model enhances image restoration with fewer parameters
Researchers have developed a novel deep learning framework for image restoration that addresses degradation from multiplicative Gamma noise and blur. This method utilizes an explicit, interpretable regularizer based on …
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New C-DEQ models accelerate deep learning inference with consistency distillation
Researchers have developed a new framework called Consistency Deep Equilibrium Models (C-DEQs) to address the slow inference times of traditional Deep Equilibrium Models (DEQs). By using consistency distillation, C-DEQs…