A Sampling Theory Perspective on Activations for Implicit Neural Representations.
Hemanth SaratchandranSameera RamasingheVioletta ShevchenkoAlexander LongSimon LuceyPublished in: CoRR (2024)
Keyphrases
- data sets
- neural network
- theoretical basis
- computational model
- monte carlo
- network architecture
- information theory
- random sampling
- theoretical framework
- theoretical foundation
- higher level
- information technology
- bio inspired
- machine learning
- general theory
- distributed representations
- internal representations
- embodied cognition
- nonlinear predictive control