Local Events

• Machine Learning for Fundamental Physics School, Aug. 2024, LBNL.
• France-Berkeley PHYSTAT Conference on Unfolding, June 2024, Paris.
• US ATLAS Machine Learning Training Event, July 2023, LBNL.
• US ATLAS Machine Learning Training Event, July 2022, LBNL.
• Software and Computing for Small HEP Experiments, November 2021, LBNL.
• Berkeley Deep Generative Models for Fundamental Physics Meeting, March 2021, Berkeley/LBNL.
• Dark-matter and Neutrino Computation Explored (DANCE) Machine Learning Workshop 2020, Aug. 2020, LBNL.
• Deep Learning for Science School, July 2020, LBNL (NERSC).
• Bay Area Likelihood-Free Inference Meeting, Dec. 2019, Berkeley.
• Deep Learning for Science School, July 2019, LBNL (NERSC).
• Physics in Machine Learning, May 2019, Berkeley.
• Machine Learning for Jet Physics, December 2017, LBNL.

External Events of Interest

• FAIR Universe – The Challenge of Handling Uncertainties in Fundamental Science, NeurIPS 2024.
• PhyStat Workshops, CERN, elsewhere.
• Machine Learning for Particle Physics, June 2021, Mainz Institute for Theoretical Physics.
• Fast Machine Learning for Science, Nov. 2020, SMU (Virtual).
• CERN IML Workshop, Oct. 2020, CERN (Virtual).
• Anomaly Detection Workshop (LHC Summer Olympics), July 2020, Hamburg (Virtual).
• Machine Learning for Physics and the Physics of Learning, Fall 2019, UCLA (IPAM).
• Machine learning for phenomenology, April 2018, IPPP Durham.
• Machine Learning and the Physical Sciences (workshop at NeurlPS), Dec. 2017-2024
• Machine Learning for Jet Physics, 2016-2024