ISR: Invertible Symbolic Regression (2024)
7 days ago
- #Inverse Problems
- #Machine Learning
- #Symbolic Regression
- Introduces Invertible Symbolic Regression (ISR), a machine learning technique for generating analytical relationships between inputs and outputs using invertible maps.
- Combines principles of Invertible Neural Networks (INNs) and Equation Learner (EQL) to create a differentiable symbolic invertible architecture.
- Uses sparsity promoting regularization to discover concise and interpretable invertible expressions.
- Demonstrates ISR's application as a symbolic normalizing flow for density estimation tasks.
- Highlights practical uses in solving inverse problems, including a geoacoustic inversion problem in oceanography.