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    ACAT 2025

    8–12 Sept 2025
    Hamburg, Germany
    Europe/Berlin timezone

    Session

    Plenary

    8 Sept 2025, 09:15
    ESA A

    ESA A

    Conveners

    Plenary

    • chair: Chiara Signorile
    • co-chair: Jennifer Ngadiuba

    Plenary

    • chair: David Britton
    • co-chair: Fons Rademakers (CERN)

    Plenary

    • chair: Gang Chen
    • co-chair: Mikael Kuusela (Carnegie Mellon University (US))

    Plenary

    • chair: Doris Kim

    Plenary

    • chair: Daniel Maitre

    Plenary

    • chair: Ian Fisk
    • co-chair: Jennifer Ngadiuba (FNAL)

    Plenary

    • co-chair: Maciej Mikolaj Glowacki (CERN)
    • chair: Axel Naumann

    Plenary

    • co-chair: Chiara Signorile
    • chair: Jennifer Ngadiuba

    Plenary

    • chair: David Britton

    Presentation materials

    There are no materials yet.

    1. 260. Opening
      Gregor Kasieczka (Hamburg University (DE))
      08/09/2025, 09:15
    2. 259. Advances in Model-Agnostic Searches for New Physics at the Large Hadron Collider
      Mikael Kuusela (Carnegie Mellon University (US))
      08/09/2025, 09:30
      Plenary
    3. 261. Computational Tools for Dark Matter in Particle Physics and Astrophysics
      Genevieve Belanger, Genevieve Belanger
      08/09/2025, 10:00
      Plenary
    4. 262. Transformers for scattering amplitudes computation
      LANCE Dixon
      08/09/2025, 10:30
      Plenary
    5. 263. The Next Generation Trigger Project at CERN
      Cristina Botta (CERN)
      08/09/2025, 11:30
      Plenary
    6. 264. Foundation models for physics
      Sascha Caron (Nikhef National institute for subatomic physics (NL))
      08/09/2025, 12:00
      Plenary
    7. 265. Fast Machine Learning for Science
      Shih-Chieh Hsu (University of Washington Seattle (US))
      08/09/2025, 12:30
      Plenary
    8. 266. Updates from organizers
      Gregor Kasieczka (Hamburg University (DE))
      09/09/2025, 09:45
    9. 268. ML for unfolding
      Tilman Plehn, Tilman Plehn
      09/09/2025, 10:00
      Plenary
    10. 281. DUNE: algorithmic and computing challenges
      Dr Michael Hudson Kirby (Brookhaven National Laboratory (US)), Michael Hudson Kirby (Brookhaven National Laboratory (US))
      09/09/2025, 10:30
      Plenary
    11. 270. SONIC: A Portable framework for as-a-service ML serving
      Yuan-Tang Chou (University of Washington (US))
      09/09/2025, 11:30
      Plenary
    12. 271. AI for accelerator control
      Daniel Ratner (SLAC)
      09/09/2025, 12:00
      Plenary
    13. 273. Updates from organizers
      Gregor Kasieczka (Hamburg University (DE))
      10/09/2025, 09:15
    14. 274. Modern tools for precision collider physics
      Simone Zoia (CERN)
      10/09/2025, 09:30
      Plenary
    15. 275. Optimising the CMS GPU Reconstruction: scheduling, efficiency, stability
      Dr Andrea Bocci (CERN)
      10/09/2025, 10:00
      Plenary
    16. 276. The FAIR Universe Project
      Sascha Diefenbacher (Lawrence Berkeley National Lab. (US))
      10/09/2025, 10:30
      Plenary
    17. 277. Updates from organizers
      Gregor Kasieczka (Hamburg University (DE))
      11/09/2025, 09:15
    18. 278. Quantum Computing in Nuclear Physics
      Paul Stevenson (University of Surrey)
      11/09/2025, 09:30
      Plenary
    19. 279. The Edge SpAIce project
      Sioni Paris Summers (CERN)
      11/09/2025, 10:00
      Plenary
    20. 280. Foundation time series models for forecasting epidemics
      Eugenio Valdano (INSERM)
      11/09/2025, 10:30
      Plenary
    21. 269. Progress in ML for anomaly detection
      David Shih
      11/09/2025, 11:30
      Plenary
    22. 282. Optimizing ML models for hardware-aware deployment
      Bo-Cheng Lai
      11/09/2025, 12:00
      Plenary
    23. 179. Practical Neural Simulation-Based Inference at the LHC
      Jay Ajitbhai Sandesara (University of Wisconsin Madison (US))
      11/09/2025, 12:30
      Track 2: Data Analysis - Algorithms and Tools
      Plenary

      Neural Simulation-Based Inference (NSBI) is an emerging class of statistical methods that harness the power of modern deep learning to perform inference directly from high-dimensional data. These techniques have already demonstrated significant sensitivity gains in precision measurements across several domains, outperforming traditional approaches that rely on low-dimensional summaries. This...

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    24. 283. Raisoning Language Models
      Maciej Besta (ETHZ)
      12/09/2025, 09:10
      Plenary
    25. 157. CaloDiT and CaloDiM: Fast, Accurate and Adaptable Generative Models for Calorimeter Shower Simulation
      Peter McKeown (CERN)
      12/09/2025, 10:00
      Track 1: Computing Technology for Physics Research
      Plenary

      The need for fast calorimeter shower simulation tools has spurred the development of numerous surrogate approaches based on deep generative models. While these models offer significant reductions in compute times with respect to traditional Monte Carlo methods, their development consumes significant amounts of time, manpower and computing resources.

      In order to reduce the time to design a...

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    26. 290. Poster prizes
      12/09/2025, 10:30
      Plenary
    27. 286. Track 1 Summary
      Nick Smith (Fermi National Accelerator Lab. (US))
      12/09/2025, 11:30
    28. 287. Track 2 summary
      Thea Aarrestad
      12/09/2025, 11:50
    29. 288. Track 3 summary
      Tianji Cai
      12/09/2025, 12:10
    30. 289. Closing remarks
      David Britton (University of Glasgow (GB))
      12/09/2025, 12:30
    31. 267. AI for Health
      Jens Behrmann (Apple)
      Plenary
    32. 272. Data-centric and Control-centric portable code
      Alexandru Calotoiu (ETHZ)
      Plenary
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