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Torsten Ensslin
@TorstenEnsslin
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Joined June 2011
RT @CCR_OpenJournal: π£Just published: "Simulating Reputation Dynamics and Their Manipulation: An Agent Based Model Framework", with great tβ¦
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@RealJoshAlbert Yes, that is absolutely possible. One does not need deep networks to reconstruct Greens functions from data, see .
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@bwandelt @thegautamkamath physicist's notation while stating the probability that is averaged over, in order not to contribute to the usual confusion in statistics: < X >_(X|A) := \sum_X P(X|A) X
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@GameArtAcademic Sure. Sorry for the late response, I just saw your tweet now. What do you need beside nifty? Write me an email if you are still interested.
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geoVI: Our novel information geometry based variational inference scheme for very high dimensional Bayesian data analysis problems, #DataScience
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Interesting!
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ππ‘ππ£ππ - πππ¨π¨ππ€π£ πΎπ€π’π₯π‘ππ©ππ The Planck legacy publications appeared today: Also, last Planck editorial board meeting today For me: 16 years of collaboration work, 10 years editorial work, good science, and a very nice final picture:
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A smart comment on being over exited about having fitted some data in #AI or elsewhere: Real numbers, data science and chaos: How to fit any dataset with a single parameter Laurent BouΓ©
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