brekelma / echo
Echo Noise Channel for Exact Mutual Information Calculation
☆17Updated 4 years ago
Related projects: ⓘ
- ☆26Updated 5 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆38Updated 5 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 4 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆39Updated 5 years ago
- Variational Autoencoders & Normalizing Flows Project☆19Updated 7 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆38Updated 3 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 5 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 4 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆43Updated 6 years ago
- Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761☆37Updated 6 years ago
- Annealed Importance Sampling (AIS) for generative models.☆16Updated 6 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 8 years ago
- TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)☆16Updated 7 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 4 years ago
- Variational Walkback, NIPS'17☆28Updated 6 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆62Updated 6 years ago
- Computing various norms/measures on over-parametrized neural networks☆48Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆66Updated 5 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 3 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 6 years ago
- ☆29Updated 2 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated last year
- ☆17Updated this week
- ☆12Updated 6 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆31Updated 4 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 4 years ago
- Natural Gradient, Variational Inference☆28Updated 4 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆33Updated last year