#grassmannian
Live, measured metrics for the hashtag #grassmannian from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #grassmannian
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mastodon.social (Mastodon public tags API) · fetched 2026-09-13 04:56 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-09-13 04:56 UTCLive pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-09-13 04:56 UTCEverything below is measured over the latest 7 public posts (spanning ~79493 hours).
Posting hours (UTC)
Languages: English (5) · Japanese (2)
Avg boosts / post: 0.4
Top of the latest posts
New paper from Rémi Delogne, doing a PhD thesis with me at #UCLouvain, INMA/ICTEAM, accepted at #TMLR: "#Random features for #Grassmannian #kernel approximation with bounded rank-one #projections" by R. Delogne and L. Jacques https://openre
Watch "Alexander Postnikov: Positive #Grassmannian, part 1" on YouTube - https://youtu.be/F1wRGH2JADY #Closure of each cell ( what does that even mean?) #anamorphic to closed ball
Watch "Alexander Postnikov: Positive #Grassmannian, part 1" on YouTube - https://youtu.be/F1wRGH2JADY #Closure of each cell ( what does that even mean?) #anamorphic to closed ball
What “grassmannian” means
WikipediaIn mathematics, a Grassmannian , also known as a Grassmann manifold, is a differentiable manifold that parameterizes the set of all -dimensional linear subspaces of an -dimensional vector space over a field that has a differentiable structure. For example, the Grassmannian is the space of lines through the origin in , so it is the same as the projective space of one dimension lower than . When is a real or complex vector space, Grassmannians are compact smooth manifolds, of dimension . In g
“Grassmannian” on Wikipedia (CC BY-SA) →#grassmannian across platforms
every network with a public tag surfaceFollow #grassmannian straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/grassmannian