Image credit: Max Planck Institute for Gravitational Physics, Simulating eXtreme Spacetimes Collaboration and Airborne Hydro Mapping GmbH
I'm co-organizing a workshop on Scientific Machine Learning for Gravitational Wave Astronomy at ICERM, Providence, RI,
June 2 - 6, 2025.
Applications are now open at icerm.brown.edu/program/topi...!
We recommend applying by December 15, 2024.
23.11.2024 15:01 — 👍 10 🔁 5 💬 2 📌 0
Now that I’m here let show off my poster! In this paper we found evidence for eccentricity in Binary Black holes observed by LIGO-Virgo-KAGRA. You can read the paper here: arxiv.org/abs/2404.14286 and my Twitter summary here: x.com/nihar_gupte/...
22.11.2024 04:33 — 👍 90 🔁 16 💬 6 📌 5
At KITP on the UC Santa Barbara campus, researchers in theoretical physics and allied fields collaborate on questions at the leading edges of science.
www.kitp.ucsb.edu
Official account of the LIGO Scientific Collaboration. We detect gravitational waves!
Email: questions@ligo.org
gravitational waves researcher at @iac3.uib.cat / @uib.cat in Palma, Spain
Official profile of the Einstein Telescope. The project "Preparatory Phase for the Einstein Telescope Gravitational Wave Observatory" has received funding from the EU’s Horizon Europe INFRADEV Programme under GA No 101079696
Living Reviews in Relativity publishes regularly updated open-access reviews. Its companion research journal, General Relativity and Gravitation, primarily original work. By @SpringerNature.com
Full Professor at @deptmathgothenburg.bsky.social | simulation-based inference | Bayes | stochastic dynamical systems | https://umbertopicchini.github.io/
Professor of Statistics and Machine Learning at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
Full Professor of Computational Statistics at TU Dortmund University
Scientist | Statistician | Bayesian | Author of brms | Member of the Stan and BayesFlow development teams
Website: https://paulbuerkner.com
Opinions are my own
Professor of Machine Learning and Inference, Edinburgh Informatics, Formerly Amazon Scholar. Opinions are my own. Also https://homepages.inf.ed.ac.uk/imurray2/ and https://mastodon.social/@imurray and https://x.com/driainmurray
We build probabilistic #MachineLearning and #AI Tools for scientific discovery, especially in Neuroscience. Probably not posted by @jakhmack.bsky.social.
📍 @ml4science.bsky.social, Tübingen, Germany
High Energy Physics/Machine Learning/Data Science Prof @tum.de www.lukasheinrich.com
ML + Physics + Health at . Exploring the interaction between scientific and ML models.
Posting about the One World Approximate Bayesian Inference (ABI) Seminar, details at https://warwick.ac.uk/fac/sci/statistics/news/upcoming-seminars/abcworldseminar/
Amortized Bayesian Workflows in Python.
🎲 Post author sampled from a multinomial distribution, choices
⋅ @marvin-schmitt.com
⋅ @paulbuerkner.com
⋅ @stefanradev.bsky.social
🔗 GitHub github.com/bayesflow-org/bayesflow
💬 Forum discuss.bayesflow.org
Climate Scientist 🌎 | Astrophysicist 🔭 | Memes 🫡 | Coffee ☕️ | Travel ✈️ | PDX -> Chi
Retired computational astrophysicist
Interpretability at Anthropic; prev Google DeepMind, Simons Foundation, Journal of Open Source Software
(he/him)
https://dfm.io // https://github.com/dfm
Physics, philosophy, complexity. @jhuartssciences.bsky.social & @sfiscience.bsky.social. Host, #MindscapePodcast. Married to @jenlucpiquant.bsky.social.
Latest books: The Biggest Ideas in the Universe.
https://preposterousuniverse.com/
Assistant Professor at UNLV+NevadaCfA looking for gravitational waves and the best music. Previously at LIGO, MITKavli, CITA_ICAT and UoBIGWaves.
Astronomer, physicist, statistician, data analyst, open scientist. (Totally not at all the other David Hogg). I live on Lenape land.
