Interpretable Joint Event-Particle Reconstruction for Neutrino Physics at NOvA with Sparse CNNs and Transformers.
Alexander ShmakovAlejandro YankelevichJianming BianPierre BaldiPublished in: CoRR (2023)
Keyphrases
- compressed sensing
- compressive sensing
- signal reconstruction
- image reconstruction
- event detection
- sparse data
- computer science
- cellular neural networks
- sparse representation
- random projections
- binary matrices
- high resolution
- high dimensional
- reconstructed image
- joint optimization
- three dimensional
- sparse reconstruction
- dense sampling
- sparsity constraints
- reconstruction process
- event driven
- image compression
- artificial intelligence
- dictionary learning
- tomographic reconstruction
- fluid dynamics
- stream processing
- event recognition
- reconstruction error
- radon transform
- sparse coding
- dense correspondences
- neural network
- data sets