lzzcd001 / ade-codeLinks
Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)
☆14Updated 5 years ago
Alternatives and similar repositories for ade-code
Users that are interested in ade-code are comparing it to the libraries listed below
Sorting:
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆23Updated 5 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- ☆30Updated 4 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- ☆54Updated last year
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- ☆50Updated 4 years ago
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Updated 2 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- ☆20Updated 3 years ago
- Deep convolutional gaussian processes.☆80Updated 6 years ago
- MATLAB code for Stein Point Markov Chain Monte Carlo.☆13Updated 6 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 6 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Efficient Householder Transformation in PyTorch☆66Updated 4 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 5 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- ☆64Updated last year
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- Very deep VAEs in JAX/Flax☆46Updated 4 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 6 months ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago