SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
Authors: Didrik Nielsen, Priyank Jaini, Emiel Hoogeboom, Ole Winther, Max Welling
NeurIPS 2020 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We demonstrate the efficacy of Sur VAE Flows with experiments on synthetic datasets, point cloud data, and images. Code to implement Sur VAE Flows and reproduce results is publicly available. ... 4 Experiments ... We investigate the ability of Sur VAE flows to model data that is difficult to model with normalizing flows. ... Table 4: Unconditional image modeling results in bits/dim. ... Table 5: Inception score and FID for CIFAR-10. |
| Researcher Affiliation | Academia | Technical University of Denmark1, Uv A-Bosch Delta Lab, University of Amsterdam2 |
| Pseudocode | Yes | Algorithm 1: log likelihood(x) |
| Open Source Code | Yes | The code is available at https://github.com/didriknielsen/survae_flows |
| Open Datasets | Yes | We demonstrate the efficacy of Sur VAE Flows with experiments on synthetic datasets, point cloud data, and images. ... We use the Spatial MNIST dataset (Edwards and Storkey, 2017)... We train a flow using 2 scales with 12 steps/scale for CIFAR-10 and Image Net 32 32 and 3 scales with 8 steps/scale for Image Net 64 64. |
| Dataset Splits | No | No specific training/validation/test dataset splits (e.g., percentages, sample counts, or explicit mention of standard splits) are provided in the paper for the datasets used. |
| Hardware Specification | Yes | This research was supported by the NVIDIA Corporation with the donation of TITAN X GPUs. |
| Software Dependencies | No | No specific software dependencies with version numbers (e.g., PyTorch 1.9, Python 3.8) are explicitly mentioned in the paper's text. |
| Experiment Setup | No | No specific experimental setup details such as hyperparameter values (e.g., learning rate, batch size) are provided in the main text of the paper. Such details are deferred to the appendices. |