Over the past years, High Energy Physics (HEP) has made significant strides by developing and applying machine learning (ML) and artificial intelligence (AI) approaches. These advancements have greatly improved particle and event identification, reconstruction, simulation, experiments operations, and more.
The workshop will highlight the latest progress and ongoing challenges in these areas. It is open to the entire community, including participants from LHC experiments (detector and accelerator), theorists, and phenomenologists. We welcome contributions from method scientists and experts in related fields such as astronomy, astrophysics, cosmology, astroparticle physics, hadron and nuclear physics, and other domains facing similar challenges as well as computer scientists in research, industry and academia.
Join us to explore new ideas and advance the future of particle physics and science through ML/AI.
The following topics accross the various fields are foreseen:
- Classification and reconstruction
- Experiment simulation
- Event generation
- Inverse problems
- Uncertainties
- Anomaly detection
- Interpretability
- FastAI / EdgeAI systems for trigger applications
- Detector/accelerator monitoring, control, and data acquisition
- Agentic AI and LLMs to accelerate research procedures
Registration and abstract submission are now open!
For inquiries, please contact ml4jets2026@oeaw.ac.at
The registration deadline is September 4th at 23:59 CET. The registration fee is 275€ for in-person participants and it covers coffee breaks, welcome reception, and social dinner.
Registration for ML4Jets 2026 is a two-stage process. First, register here on indico. Second, pay the conference fee through our partner Austropa Interconvention. Notice that the registration process is complete only after payment of the conference fee has been received. A message of confirmation will be sent by the organizers.
For further information please see: