Anomaly Detection with Autoencoder

Anomaly Detection with Autoencoder

Explore anomaly detection techniques using autoencoders in this comprehensive lecture from the Statistical Methods and Machine Learning in High Energy Physics program. Delve into advanced machine learning applications for analyzing large-scale data in particle physics experiments. Learn how autoencoders can be leveraged to identify unusual patterns and potential new physics signals in high-energy collision data. Gain insights from expert Tanmoy Modak on implementing these powerful deep learning models for anomaly detection tasks critical to pushing the boundaries of our understanding in high energy physics research.