sphinxteam / dnner
Deep Neural Networks Entropy from Replicas
☆32Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for dnner
- Limitations of the Empirical Fisher Approximation☆45Updated 4 years ago
- ☆59Updated 5 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 4 years ago
- Tree Approximate Message Passing☆29Updated 6 months ago
- Nonlinear Information Bottleneck☆54Updated 2 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 5 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 4 years ago
- Geometric Certifications of Neural Nets☆41Updated 2 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆80Updated 4 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆120Updated 4 years ago
- Natural Gradient, Variational Inference☆29Updated 4 years ago
- ☆40Updated 5 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- ☆26Updated 6 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆81Updated 5 months ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆70Updated 8 years ago
- PyTorch implementation of Hessian Free optimisation☆43Updated 4 years ago
- Code for Stochastic Hyperparameter Optimization through Hypernetworks☆23Updated 6 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 3 years ago
- ☆36Updated 3 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆48Updated 6 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Updated 7 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- ☆24Updated 6 years ago
- Source code for paper Choromanska et al. -- Beyond Backprop: Online Alternating Minimization with Auxiliary Variables -- http://proceedin…☆24Updated 5 years ago