ykasten / Convergence-Rate-NN-Different-FrequenciesLinks
☆9Updated 5 years ago
Alternatives and similar repositories for Convergence-Rate-NN-Different-Frequencies
Users that are interested in Convergence-Rate-NN-Different-Frequencies are comparing it to the libraries listed below
Sorting:
- Code for the paper "Rational neural networks", NeurIPS 2020☆28Updated 4 years ago
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆19Updated 3 years ago
- ☆14Updated last year
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated 2 years ago
- ☆14Updated 5 years ago
- "Stochasticity in Neural ODEs: An Empirical Study". Experiments from the paper☆13Updated 5 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆38Updated 2 years ago
- ☆46Updated last year
- ☆12Updated last year
- ☆11Updated 4 years ago
- ☆21Updated 7 months ago
- ☆32Updated 2 years ago
- Methods and experiments for assumed density SDE approximations☆12Updated 3 years ago
- Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).☆36Updated 3 years ago
- Autoencoders in Function Space: Resolution-invariant autoencoders for functional data based on the functional variational autoencoder (FV…☆14Updated 6 months ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- ☆21Updated 2 years ago
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆11Updated last year
- ☆22Updated 5 years ago
- code to show F-Principle in the DNN training☆59Updated 2 years ago
- ☆16Updated 10 months ago
- Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"☆10Updated 5 years ago
- Official repo for "Learning the geometry of wave-based imaging"☆12Updated 4 years ago
- Code for An Adaptive Empirical Bayesian Method for Sparse Deep Learning (NeurIPS'19)☆20Updated 4 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆50Updated 2 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆15Updated 4 years ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆24Updated 2 years ago
- Monotone operator equilibrium networks☆52Updated 4 years ago