abietti / ckn_kernelLinks
computation of convolutional kernels (CKN and NTK) in C++
☆14Updated 2 years ago
Alternatives and similar repositories for ckn_kernel
Users that are interested in ckn_kernel are comparing it to the libraries listed below
Sorting:
- ☆91Updated 3 years ago
- Convolutional Neural Tangent Kernel☆113Updated 5 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated 9 months ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- ☆59Updated 2 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 4 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆31Updated 5 years ago
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆56Updated 5 years ago
- ☆152Updated 5 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆72Updated 9 years ago
- ☆43Updated 6 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- ☆36Updated 4 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆50Updated 4 years ago
- Code for Stochastic Hyperparameter Optimization through Hypernetworks☆23Updated 7 years ago
- code release for the NIPS 2016 paper☆27Updated 8 years ago
- ☆67Updated 6 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 5 months ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆74Updated 5 years ago
- Generative Model for Neural Networks☆24Updated 5 years ago
- Tensorflow code for "Hierarchical Decompositional Mixtures of Variational Autoencoders" (ICML'19)☆12Updated 5 years ago
- ☆54Updated last year
- Computing various measures and generalization bounds on convolutional and fully connected networks☆35Updated 6 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 6 years ago