franrruiz / uiviLinks
Code for Unbiased Implicit Variational Inference (UIVI)
☆14Updated 6 years ago
Alternatives and similar repositories for uivi
Users that are interested in uivi are comparing it to the libraries listed below
Sorting:
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 5 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- ☆26Updated 6 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago
- Large-batch Training, Neural Network Optimization☆9Updated 5 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆26Updated 4 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- ☆53Updated 10 months ago
- ☆19Updated 3 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- ☆49Updated 4 years ago
- Monotone operator equilibrium networks☆52Updated 4 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 5 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 4 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆21Updated 3 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 3 months ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- The implementation of "The Kanerva Machine" with Pytorch and Pyro☆12Updated 6 years ago
- Geometric Certifications of Neural Nets☆41Updated 2 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- Very deep VAEs in JAX/Flax☆46Updated 3 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 5 years ago