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What category does the M2 model belong to #34

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41924076 opened this issue May 29, 2024 · 2 comments
Open

What category does the M2 model belong to #34

41924076 opened this issue May 29, 2024 · 2 comments

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@41924076
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Hello, thank you for your great work! M2bert paper mentioned that "Monarch Mixer is part of a new class of architectures called state-space models (SSMs), which include S4, Mamba, and BiGS".
Is Monarch Mixer and M2BERT a part of SSMs?
I consider M2BERT to be:
(1) replace attention with bidirectional gated convolutions with a residual convolution, and set the Monarch matrices to DFT and inverse DFT matrices to speed up DFT for conv;
(2)In the dimension mixer, replace the two dense matrices in MLPs with learned block-diagonal matrices to speed up MLP computation.

I wonder which part of it is related to SSM? I would be very grateful if you could help me with the answer : )

@DanFu09
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DanFu09 commented May 29, 2024 via email

@41924076 41924076 reopened this May 30, 2024
@41924076
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Thank you so much for your answer!
Can every convolution is every model be considered as SSM or only what kind of convolution can be considered as SSM?
And how to understand the difference between MAMBA and M2 models in terms of SSM?

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