Reposted by Michael KrämerMunich Center for Mathematical Philosophy @lmu-mcmp.bsky.social · 18/01/2025Three-year postdoctoral fellowship opening at the MCMP; please help us spread the word. 085
Reposted by Michael KrämerGregor Kasieczka @kasieczka.bsky.social · 17/01/2025Interview (in German) I recently gave to the FAZ Vor:Denker on AI, Physics, and how they do & will benefit each other. vordenker.faz.net/protonen-hab...vordenker.faz.net»Protonen haben keine Rechte« | vor:denkerWenn die Teilchenphysiker in der Nähe von Genf 40 Millionen Kollisionen pro Sekunde erzeugen, sind sich Physik und Künstliche Intelligenz ganz nah. Dann generiert der Teilchenbeschleuniger des Europäi... 031
Michael Krämer @mikraemer.bsky.social · 10/01/2025With @henkderegt.bsky.social, @danielkostic.bsky.social, @kasieczka.bsky.social and others, we have submitted a white paper that provides a potential roadmap for the development and evaluation of physics-specific AI models: arxiv.org/abs/2501.05382, see also www.lorentzcenter.nl/physics-en-q....arxiv.orgLarge Physics Models: Towards a collaborative approach with Large Language Models and Foundation ModelsThis paper explores ideas and provides a potential roadmap for the development and evaluation of physics-specific large-scale AI models, which we call Large Physics Models (LPMs). These models, based ... 0143
Michael Krämer @mikraemer.bsky.social · 06/01/2025Foundation models play an increasingly important role in physics. With @ozamram.bsky.social @joschkabirk.bsky.social @kasieczka.bsky.social et al. we have trained a FM on 180M particle physics events from the LHC and shown the performance in generating synthetic data: arxiv.org/abs/2412.10504.arxiv.orgAspen Open Jets: Unlocking LHC Data for Foundation Models in Particle PhysicsFoundation models are deep learning models pre-trained on large amounts of data which are capable of generalizing to multiple datasets and/or downstream tasks. This work demonstrates how data collecte... 1102
Reposted by Michael KrämerMiles Cranmer @milescranmer.bsky.social · 02/01/2025🚨 FINAL REMINDER 🚨: Multiple Postdoc and PhD positions in our AI + Physics cluster in DAMTP, Cambridge! Deadlines: - Postdoc: Jan 5th (Sunday) - PhD: Jan 7th (Tuesday) More info below – Please share with researchers and students who might be interested in joining us! 0165
Reposted by Michael KrämerINSPIRE HEP @inspirehep.net · 02/01/2025INSPIRE and social media: Update your INSPIRE profile to add your accounts to your profile and keep in touch with us. blog.inspirehep.net/2024/12/insp... 073
Michael Krämer @mikraemer.bsky.social · 31/12/2024Madrid gets ready for the New Year... ¡Feliz año nuevo! 030
Reposted by Michael KrämerGregor Kasieczka @kasieczka.bsky.social · 17/12/2024We prepared 180M jets from 2016 CMS data taking to be easily used for machine learning & demonstrate their use for pre-training. Data at: www.fdr.uni-hamburg.de/record/16505 Paper at: arxiv.org/abs/2412.10504 w/ @ozamram.bsky.social, @joschkabirk.bsky.social, @mikraemer.bsky.social & othersfdr.uni-hamburg.deAspen Open Jets: a real-world ML-ready dataset for jet physicsThis dataset contains approximately 180 M boosted jets, derived from open data collected by the CMS experiment at the Large Hadron Collider (LHC) in 2016 — specifically the JetHT datastream — and pres... 041