Joschka Birk
@joschkabirk.bsky.social
PhD student working on ML for particle physics
Reposted by Joschka Birk
Foundation 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.
Aspen Open Jets: Unlocking LHC Data for Foundation Models in Particle Physics
Foundation 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...
arxiv.org
January 6, 2025 at 1:18 PM
Foundation 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.
Reposted by Joschka Birk
New paper on #arxiv, inspired by discussions this summer at the Aspen Center for Physics
🤔 Foundation models need huge amounts of training data.
🤔 There now exist large volumes of #OpenData by e.g. @cmsexperiment.bsky.social
💡 Why not use that data for training?
🤔 Foundation models need huge amounts of training data.
🤔 There now exist large volumes of #OpenData by e.g. @cmsexperiment.bsky.social
💡 Why not use that data for training?
December 17, 2024 at 7:21 AM
New paper on #arxiv, inspired by discussions this summer at the Aspen Center for Physics
🤔 Foundation models need huge amounts of training data.
🤔 There now exist large volumes of #OpenData by e.g. @cmsexperiment.bsky.social
💡 Why not use that data for training?
🤔 Foundation models need huge amounts of training data.
🤔 There now exist large volumes of #OpenData by e.g. @cmsexperiment.bsky.social
💡 Why not use that data for training?