ermongroup / sparse_genLinks
Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018
☆24Updated 7 years ago
Alternatives and similar repositories for sparse_gen
Users that are interested in sparse_gen are comparing it to the libraries listed below
Sorting:
- Uncertainty Autoencoders, AISTATS 2019☆56Updated 6 years ago
- Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'☆25Updated 6 years ago
- ☆29Updated 3 years ago
- MintNet: Building Invertible Neural Networks with Masked Convolutions☆39Updated 4 years ago
- Deep convolutional gaussian processes.☆81Updated 6 years ago
- Task-Aware Compressed Sensing Using Generative Adversarial Networks (published in AAAI18)☆31Updated 7 years ago
- ☆18Updated 5 years ago
- Scaled MMD GAN☆36Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆90Updated 7 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Code release for the ICLR paper☆21Updated 7 years ago
- ☆42Updated 6 years ago
- Python implementation of the Fast Iterative Shrinkage/Thresholding Algorithm.☆94Updated 6 years ago
- CUDA extension for the SPORCO project☆18Updated 4 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.☆110Updated 7 years ago
- ☆17Updated 5 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆61Updated 2 years ago
- ☆32Updated 7 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- Code for the paper "Banach Wasserstein GAN"☆31Updated 6 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆154Updated 6 years ago
- Pytorch implementation of SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆21Updated 7 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆57Updated 6 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆66Updated 2 years ago
- ☆16Updated 5 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- A PyTorch implementation of Conditional PixelCNNs☆27Updated 7 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆126Updated 7 years ago