Models and data for 'Amortized reparametrization: Efficient and Scalable Variational Inference for Latent SDEs'
| Title: | Models and data for 'Amortized reparametrization: Efficient and Scalable Variational Inference for Latent SDEs' |
|---|---|
| Authors: | Course, Kevin; Nair, Prasanth B. |
| Publisher Information: | Zenodo |
| Publication Year: | 2023 |
| Collection: | Zenodo |
| Document Type: | dataset |
| Language: | unknown |
| Relation: | https://zenodo.org/records/10073515; oai:zenodo.org:10073515; https://doi.org/10.5281/zenodo.10073515 |
| DOI: | 10.5281/zenodo.10073515 |
| Availability: | https://doi.org/10.5281/zenodo.10073515; https://zenodo.org/records/10073515 |
| Rights: | Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode |
| Accession Number: | edsbas.9AF3FB8F |
| Database: | BASE |