The submission period has ended.
We are interested in receiving your abstracts on the application of modern machine learning techniques in physics. This includes classification, regression, likelihood-free inference, anomaly detection, network acceleration, knowledge distillation, uncertainty mitigation, fast simulation, semi-supervised learning, or whatever else you may be working on.