#wasserstein

Live, measured metrics for the hashtag #wasserstein from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #wasserstein

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.

$10.85/ year · 11-character #name
Claim #wasserstein — $10.85/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
4
Uses / 7 days
Mastodon
4
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.6
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-09-27 15:10 UTC
1
09-21
1
09-22
1
09-23
1
09-24
0
09-25
0
09-26
0
09-27

4 uses by 4 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 2026-09-27 15:10 UTC

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-09-27 15:10 UTC

Everything below is measured over the latest 40 public posts (spanning ~27260 hours).

Top of the latest posts

  • This #CMSPaper investigates different #AI #machinelearning methods that aim to find jets that are inconsistent with the standard model. It shows that a new method called #Wasserstein normalized autoencodes works much better than other neura

    Freya Blekman@[email protected]♥ 8↻ 32026-03-15 08:55 UTCView post →
  • 📐 New preprint by Gabriel Peyré: The paper introduces a new class of spectral #Wasserstein distances, linking #OptimalTransport with normalized #gradient methods. It shows that spectrally normalized #GradientDescent can be interpreted as a

    Fabrizio Musacchio@FabMusacchio♥ 4↻ 02026-04-07 19:54 UTCView post →
  • Following up on this, I also explored a more direct use of #WassersteinDistance in #WGANs: Instead of training a discriminator, the generator is optimized by explicitly computing the #OptimalTransport distance between real and generated sam

    Fabrizio Musacchio@FabMusacchio♥ 3↻ 12026-05-05 19:33 UTCView post →

What “wasserstein” means

Wikipedia

Wasserstein is a surname and can refer to:Abraham Wasserstein (1921–1995), a German-born British and Israeli classicist Bernard Wasserstein, a British historian Bruce Wasserstein (1947–2009), an American former investment banker and former CEO of Lazard Wendy Wasserstein (1950–2006), an American playwright Leonid Nasonovich Vasershtein, a Russian-American mathematician

“Wasserstein” on Wikipedia (CC BY-SA) →

#wasserstein across platforms

every network with a public tag surface

Follow #wasserstein 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/wasserstein