Condensing CNNs With Partial Differential Equations
Posts in this series
- Diffusion Models and Dynamics
- Neural Tangent Kernel
- The Boundary of Neural Network Trainability Is Fractal.
- From Data to Functa: Your Data Point Is a Function and You Can Treat It Like One
- Integral Neural Networks
- Score-Based Generative Modeling Through Stochastic Differential Equations
- Condensing CNNs With Partial Differential Equations
- Causal Navigation by Continuous-Time Neural Networks
- Neural Operators: Mapping Between Function Spaces
- Discovering Governing Equations From Data by Sparse Identification of Nonlinear Dynamical Systems