aditya-grover / uae
Uncertainty Autoencoders, AISTATS 2019
☆53Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for uae
- Scaled MMD GAN☆36Updated 5 years ago
- The Deep Weight Prior, ICLR 2019☆44Updated 3 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆48Updated 6 years ago
- Riemannian approach to batch normalization☆21Updated 6 years ago
- Training Neural Networks Without Gradients: A Scalable ADMM Approach python implement☆15Updated 7 years ago
- ☆27Updated 5 years ago
- ☆21Updated 4 years ago
- Code for the paper "Banach Wasserstein GAN"☆31Updated 5 years ago
- Nonlinear SVGD for Learning Diversified Mixture Models☆12Updated 5 years ago
- ☆81Updated 7 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 4 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 4 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 4 years ago
- ☆44Updated 6 years ago
- Adversarial Non-linear Independent Component Analysis☆49Updated 7 years ago
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆23Updated 6 years ago
- ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.☆22Updated 3 months ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 5 years ago
- ☆29Updated 2 years ago
- Uncertainty interpretations of the neural network☆31Updated 6 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆40Updated 3 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Sparse dictionary learning☆29Updated 10 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆30Updated 2 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆27Updated 6 years ago
- Code base for SRSGD.☆28Updated 4 years ago
- A TensorFlow implementation of perceptual generative autoencoder (PGA).☆23Updated 4 years ago
- ☆12Updated 6 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago