#UncertaintyQuantification
Live, measured metrics for the hashtag #UncertaintyQuantification from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #uncertaintyquantification
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 07:09 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 2026-07-27 07:09 UTCNo related tags with measured usage found for #uncertaintyquantification.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 07:09 UTCEverything below is measured over the latest 9 public posts (spanning ~32368 hours).
Posting hours (UTC)
Languages: English (8) · German (1)
Avg boosts / post: 2.9
Top of the latest posts
Time for an #introduction? I'm in the latter stages of my PhD at the University of Toronto (while sitting at MIT). My research focuses on the use of offline #ReinforcementLearning and #UncertaintyQuantification to assess risk and recommend
🚀 #AWS Fortuna is skyrocketing! 🚀 Just a few days, and so many GitHub stars and forks! ⭐️ Fortuna supports #ConformalPrediction, #BayesianInference and other methods for #UncertaintyQuantification in #DeepLearning. Try it out and let us k
Today, we open sourced Fortuna (https://github.com/awslabs/fortuna) a library for uncertainty quantification. Deep neural networks are often overconfident and do not know what they don’t know. Quantifying the uncertainty in the predictions
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/uncertaintyquantification