wzhi / ODElearning_INNLinks
[ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks
☆10Updated 2 years ago
Alternatives and similar repositories for ODElearning_INN
Users that are interested in ODElearning_INN are comparing it to the libraries listed below
Sorting:
- Nonparametric Differential Equation Modeling☆53Updated last year
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆43Updated last year
- ☆29Updated 2 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 6 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Methods and experiments for assumed density SDE approximations☆12Updated 3 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆29Updated 5 months ago
- ☆12Updated 3 years ago
- ☆21Updated 8 months ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Computing gradients and Hessians of feed-forward networks with GPU acceleration☆19Updated last year
- Refining continuous-in-depth neural networks☆41Updated 3 years ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆28Updated last year
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆38Updated 2 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Learning unknown ODE models with Gaussian processes☆26Updated 6 years ago
- ☆20Updated 3 years ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆52Updated 3 years ago
- We simulate a wind tunnel, place a rectangular occlusion in it, and then use gradient descent to turn the occlusion into a wing.☆26Updated 4 years ago
- ☆34Updated 3 years ago
- ☆20Updated 2 years ago
- Differentiable interface to FEniCS for JAX☆54Updated 4 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆40Updated 4 years ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 3 years ago
- ☆38Updated 3 years ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆24Updated 6 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆52Updated 2 years ago
- Code for the paper "Rational neural networks", NeurIPS 2020☆28Updated 4 years ago