Triple
T1807329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | variational autoencoders |
E40250
|
entity |
| Predicate | introducedInPaper |
P513
|
FINISHED |
| Object |
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes is the foundational 2013 paper by Kingma and Welling that introduced variational autoencoders, a generative model framework combining deep learning with variational Bayesian inference.
|
E200670
|
NE FINISHED |
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69a88643a3388190a612f2ebe1fb29e7 |
elicitation | completed |
| NER | batch_69abaffee0f88190aa7a42ef4a4e2bd2 |
ner | completed |
| NED1 | batch_69adb5e137bc81908294dd6b67789526 |
ned_source_triple | completed |
| NED2 | batch_69adb8c122e881908f0640edc5aaf305 |
ned_description | completed |
| NEDg | batch_69adb69d10188190b78bece656249ecd |
nedg | completed |
Created at: March 4, 2026, 7:32 p.m.