#inverseproblems
Live, measured metrics for the hashtag #inverseproblems from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #inverseproblems
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-11-13 18:12 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-11-13 18:12 UTCNo related tags with measured usage found for #inverseproblems.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-11-13 18:12 UTCEverything below is measured over the latest 19 public posts (spanning ~32984 hours).
Posting hours (UTC) — busiest: 06:00
Languages: English (16) · German (3)
Avg boosts / post: 0.9
Top of the latest posts
📣 Olivier Leblanc, who carries out a PhD thesis with me, got the best contribution award at https://baspfrontiers.org for his work entitled "Interferometric Lensless Imaging - Rank-one Projections of Image Frequencies with Speckle Illumina
Registration is open! Join our online course on image reconstruction & inverse problems to explore regularization, deep learning & uncertainty quantification through lectures & hands-on Python tutorials. 📅 Sept 16 | 9–17 CEST First come, f
Optimal estimation (Remote sensing 🛰️) In applied statistics, optimal estimation is a regularized matrix inverse method based on Bayes' theorem. It is used very commonly in the geosciences, particularly for atmospheric sounding. A matrix i
#inverseproblems across platforms
every network with a public tag surfaceFollow #inverseproblems 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/inverseproblems