lin-shuyu / ladder-latent-data-distribution-modellingLinks
In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represent the inferred \textbf{latent data distribution}, i.e. its topology and structural properties. We propose LaDDer to achieve accurate modelling of the latent data distribution in a variational autoencoder frame…
☆41Updated 4 years ago
Alternatives and similar repositories for ladder-latent-data-distribution-modelling
Users that are interested in ladder-latent-data-distribution-modelling are comparing it to the libraries listed below
Sorting:
- A TensorFlow implementation of perceptual generative autoencoder (PGA).☆23Updated 4 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- A discrete sequential VAE☆40Updated 5 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 5 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆80Updated 3 years ago
- Train a Mixture of Factor Analyzers (MFA) / Mixture of Probabilistic PCA (MPPCA) - low-rank-plus-diagonal GMMs using pytorch☆41Updated 2 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 6 years ago
- Official implementation of "On GANs and GMMs"☆67Updated 5 years ago
- ☆53Updated 7 years ago
- Code base for SRSGD.☆29Updated 5 years ago
- rich posterior approximations and anomaly detection☆20Updated 6 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- Official PyTorch implementation of Spatial Dependency Networks.☆35Updated 4 years ago
- Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding☆73Updated 3 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"☆19Updated 5 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 6 years ago
- ☆32Updated 4 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- ☆41Updated 2 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Updated 4 years ago
- Sliced Wasserstein Generator☆23Updated 6 years ago
- ☆22Updated 5 years ago
- PyTorch Implementation of CVPR'19 - On the Intrinsic Dimensionality of Image Representation☆25Updated 6 years ago
- ☆26Updated 6 years ago
- ☆54Updated last year
- A Pytorch Implementation of the Beta-VAE☆45Updated 6 years ago