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Had a great time teaching generative models at the COFI school in Puerto Rico 🇵🇷 Don't usually post too many photos, but this might be a justified exception Program & slides at: indico.cern.ch/event/1299889/ With many thanks to the organisers Michael Kagan, Kevin, and Mayda!

Congratulations to the winners of the ATLAS Thesis Awards: Joshua Beirer, Prajita Bhattarai, Savannah Clawson, Hassnae El Jarrari, Nicole Hartman, Samuel Van Stroud, and Xiao Yang! The winners were celebrated at an award ceremony held at CERN. Learn more⤵️atlas.cern/updates/news/2…

We are excited to announce that the second edition of our workshop on Differentiable Almost Everything got accepted to #ICML2024 in Vienna 🎻! Check out our updated website: differentiable.xyz @CuturiMarco Hilde Kuehne Michael Kagan Stefano Ermon ICML Conference

If you are working on anything differentiable, consider submitting your 4-page paper to the #ICML2024 Differentiable Almost Everything workshop in Vienna 🎻! The submission site is now open: openreview.net/group?id=ICML.… @CuturiMarco Hilde Kuehne Stefano Ermon ICML Conference

We're making progress on computing gradients of particle-material interaction simulators, getting closer to gradient-based design optimization for detectors and experiments! Was a very fun paper to work on, and excellent work led by Max Aehle!

Great new work by Matthias Vigl Nicole Hartman and Lukas Heinrich TU München - 'Finetuning foundation models for joint analysis 'optimization in #HighEnergyPhysics' - iopscience.iop.org/article/10.108… #machinelearning #HEP #particlephysics #LHC #Higgs #datascience #AI

We are excited to announce 43 accepted papers at the Differentiable a.e. Workshop at #ICML2024 in Vienna 🎻🎉. Make sure to join us this Friday! Proceedings link: differentiable.xyz/papers-2024 ICML Conference

Join us tomorrow at the Differentiable Almost Everything Workshop at #ICML2024, from 9am-5pm in Stolz 0.

Great new work by Tobias Golling Lukas Heinrich Michael Kagan et al TU München Particle Physics UniGe SLAC Stanford University - 'Masked particle modeling on sets: towards self-supervised #highenergyphysics foundation models' - iopscience.iop.org/article/10.108… #machinelearning #HEP #particlephysics #jets

Foundation Models for Science Mini-Workshop underway at CERN! h/t Raghav Kansal @grossogaia indico.cern.ch/e/fm4s