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🧵 "#Criticality: A Balance Between #Robustness and #Adaptability"

Today's SFI Seminar by @cgershen @cgg_mx:
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Regarding systems at the #EdgeOfChaos
Identifying #PhaseTransition dynamics
Citing @WagnerEvolution on #Robustness
Contrasting it with #Chaos (fragile, hard to predict, etc.)
And then #Criticality, somewhere in the middle... ImageImageImageImage
With #criticality, due to #PowerLaw(-like) distributions:

"Most of the changes will be small, but for some, you can have large changes."

See also #fractals

Key history point: Stuart Kauffman's #random #Boolean #networks (1969!)

Updated by @cgershen in 2004 ImageImageImageImage
Read 12 tweets
#ICLR2021 cam-ready II: "LiftPool: Bidirectional ConvNet Pooling" w/ Jiaojiao Zhao is now available: isis-data.science.uva.nl/cgmsnoek/pub/z… No more lossy down- and upsampling when pooling! 1/n Image
LiftPool adopts the philosophy of the classical #Lifting #Scheme from #signal #processing. LiftDownPool decomposes a feature map into various downsized sub-bands, each of which contains information with different frequencies. Because of its invertible properties, ... 2/n
by performing LiftDownPool backwards, a corresponding up-pooling layer #LiftUpPool is able to generate a refined upsampled feature map using the detail sub-bands, which is useful for #image-#to-#image #translation challenges. 3/n Image
Read 4 tweets

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