Still slowly making my way through this year's NeurIPS talks. Esp like to stumble by good talks from slightly different areas, e.g. tonight liked "ML Meets Single-Cell Biology" https://slideslive.com/38921722/machine-learning-meets-singlecell-biology-insights-and-challenges … Incredible that we're mapping out cell state markov chains for tissues.pic.twitter.com/eJcCC2AGDB
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Tweet je nedostupan.
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The left sub-figure inevitably reminds me of Von-Neumann's quote "With four parameters I can fit an elephant, and with five I can make him wiggle his trunk."
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Absorbing, because terminal states are on the diagonal?
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Absorbing because the edges are directed by developmental pseudo time and some nodes have no out degree
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No way to 2x the speed of slideslive videos, right?
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Great. Are you watching all talks?
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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How does this apply to tesla autopilot?
#Tesla#teslaautopilot#iwanttoknowHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Thanks so much for sharing this. I'm very interested in talks like this, I follow Chris Bakal's publications of cancer cell-shape analysis too.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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i believe that biology is also economics， mechanism and information design
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