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okay great Iamp;#39;m okay I think weamp;#39;re set cool yes thanks thanks a lot for inviting for uh for introducing me so my name is Mitri I work in um in Germany in tubingen and Iamp;#39;m interested in neighbor embeddings and contrastive learning in various ways to visualize complex data thatamp;#39;s what Iamp;#39;m going to talk about today so let me just very briefly flash these images to uh so that weamp;#39;re on the same page about what I mean when I say visualizing complex data so Iamp;#39;m the this the setup weamp;#39;re working on is that we have some some objects some collection of objects this may be coming from biology like single cells everything that you see on top every dot is a cell but it could be images like in some of the pictures in the bottom or it could be texts documents something you have a large collection of objects that you want to study in you you want to explore it and for that we argue itamp;#39;s very useful to make visualization like steps t