Combining Maximum-Likelihood with Deep Learning for Event Reconstruction in IceCube
Combining Maximum-Likelihood with Deep Learning for Event Reconstruction in IceCube
The field of deep learning has become increasingly important for particle physics experiments, yielding a multitude of advances, predominantly in event classification and reconstruction tasks. Many of these applications have been adopted from other domains. However, data in the field of physics are unique in the context of machine learning, …