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Title: GitHub - mcbal/deep-implicit-attention: Implementation of deep implicit attention in PyTorch

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Description: Implementation of deep implicit attention in PyTorch - mcbal/deep-implicit-attention

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Deep Implicit Attention: A Mean-Field Theory Perspective on Attention Mechanismshttps://mcbal.github.io/post/deep-implicit-attention-a-mean-field-theory-perspective-on-attention-mechanisms/
https://patch-diff.githubusercontent.com/mcbal/deep-implicit-attention#mean-field-theory-framework-for-transformer-architectures
https://patch-diff.githubusercontent.com/mcbal/deep-implicit-attention#deqmlpmixerattention
https://arxiv.org/abs/2105.02723https://arxiv.org/abs/2105.02723
https://arxiv.org/abs/2105.01601https://arxiv.org/abs/2105.01601
https://patch-diff.githubusercontent.com/mcbal/deep-implicit-attention#deqvanillasoftmaxattention
https://arxiv.org/abs/1706.03762https://arxiv.org/abs/1706.03762
https://patch-diff.githubusercontent.com/mcbal/deep-implicit-attention#deqmeanfieldattention
https://mcbal.github.io/post/deep-implicit-attention-a-mean-field-theory-perspective-on-attention-mechanisms/https://mcbal.github.io/post/deep-implicit-attention-a-mean-field-theory-perspective-on-attention-mechanisms/
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https://mcbal.github.io/post/deep-implicit-attention-a-mean-field-theory-perspective-on-attention-mechanisms/https://mcbal.github.io/post/deep-implicit-attention-a-mean-field-theory-perspective-on-attention-mechanisms/
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Expectation Propagationhttps://arxiv.org/abs/1409.6179
Adaptive and self-averaging Thouless-Anderson-Palmer mean-field theory for probabilistic modelinghttps://link.aps.org/doi/10.1103/PhysRevE.64.056131
Efficient Learning in Boltzmann Machines Using Linear Response Theoryhttps://doi.org/10.1162/089976698300017386
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Deep Implicit Layers - Neural ODEs, Deep Equilibrium Models, and Beyondhttp://implicit-layers-tutorial.org/
A unifying tutorial on Approximate Message Passinghttps://arxiv.org/abs/2105.02180
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