lunz-s / DeepAdverserialRegulariserLinks
☆18Updated 5 years ago
Alternatives and similar repositories for DeepAdverserialRegulariser
Users that are interested in DeepAdverserialRegulariser are comparing it to the libraries listed below
Sorting:
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆24Updated 7 years ago
- Random Mesh Projectors for Inverse Problems☆24Updated 4 years ago
- This code implements the neural proximal gradient descent (PGD) algorithm proposed in https://arxiv.org/abs/1806.03963. The idea is to un…☆24Updated 7 years ago
- ☆30Updated 5 years ago
- ☆16Updated 6 years ago
- Tensorflow implementation of the paper "Fast Compressive Sensing Using Generative Model with Structed Latent Variables"☆10Updated 5 years ago
- The code for Differentiable Linearized ADMM (ICML 2019)☆36Updated 6 years ago
- ☆17Updated 5 years ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆30Updated 5 years ago
- MintNet: Building Invertible Neural Networks with Masked Convolutions☆40Updated 5 years ago
- Robust Optimal Transport code☆43Updated 3 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆57Updated last year
- ☆19Updated 5 years ago
- Multi-Domain Image-to-Image Translation using StarGAN with Max Sliced Wasserstein Distance.☆14Updated 6 years ago
- An implementation of the Holistic Pursuit for the Multi-Layer Sparse Coding model. Contains a comparison to the projection pursuit algori…☆19Updated 7 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- Pytorch implementation of SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆20Updated 7 years ago
- ☆24Updated 4 years ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 3 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated 2 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆22Updated 3 years ago
- ☆13Updated 5 years ago
- Code to reproduce results from "Invertible generative models for inverse problems: mitigating representation error and dataset bias"☆21Updated 5 years ago
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆22Updated 3 years ago
- Monotone operator equilibrium networks☆54Updated 5 years ago
- Learning generative models with Sinkhorn Loss☆30Updated 7 years ago
- L. Chizat, G. Peyré, B. Schmitzer, F-X. Vialard. Scaling Algorithms for Unbalanced Transport Problems. Preprint Arxiv:1607.05816, 2016.☆43Updated 8 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…☆41Updated 4 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆57Updated 6 years ago
- ☆11Updated 4 years ago