modestyachts / neural_kernels_code
☆36Updated 3 years ago
Alternatives and similar repositories for neural_kernels_code:
Users that are interested in neural_kernels_code are comparing it to the libraries listed below
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆32Updated last year
- Monotone operator equilibrium networks☆51Updated 4 years ago
- Convolutional Neural Tangent Kernel☆109Updated 5 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆53Updated 3 months ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆63Updated 4 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆39Updated 4 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆72Updated 6 months ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- ☆31Updated 4 years ago
- Regularization, Neural Network Training Dynamics☆14Updated 5 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 3 years ago
- ☆42Updated 5 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆70Updated 8 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆80Updated 4 years ago
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆37Updated 5 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- ☆37Updated 5 years ago
- ☆53Updated 6 months ago
- This repository is no longer maintained. Check☆81Updated 4 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆48Updated 5 years ago
- Optimization with orthogonal constraints and on general manifolds☆126Updated 4 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆144Updated last year
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆55Updated 4 years ago
- ☆29Updated 3 years ago
- Discrete Normalizing Flows implemented in PyTorch☆108Updated 3 years ago
- ☆57Updated last year
- Geometric Certifications of Neural Nets☆41Updated 2 years ago