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## Abstract
- present the `Insertion Transformer`, an iterative and partially autoregressive model for sequence generation based on insertion operations
- can generate with an arbitrary ordering
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[Local collaborative autoencoders](https://sci-hub.ru/https://dl.acm.org/doi/abs/10.1145/3437963.3441808)
[Local latent space models for top-n recommendation](https://sci-hub.ru/https://dl.acm.org/do…
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**Is your feature request related to a current problem? Please describe.**
When using a mixture of local and global models, the user needs to distinguish the model types.
Here's a list of pract…
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MAGVLT: based on **non-autoregressive** mask prediction.
- enables bidirectional context encoding, fast decoding by parallel token predictions in an iterative refinement
- extended editing capabilit…
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Add authors and linked presentations for http://liveoak.github.io/NlsyLinks/research_publications.html
**2015: Association for Research in Personality Conference**
- [x] Additive effects of maternal…
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tfp.sts.Autoregressive provides AR modeling. Does tfp.sts have a class or function that provides MA or ARMA modeling?
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First of all thank you for making all of the lectures and other content public. This is really helpful.
I took a look at the demo implementations for lecture 3 and found some bugs which I am report…
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Hello folks,
I parsed all issues here and although we keep talking about data science, I didn't find proposals for machine learning either using R or Python.
Who is willing to co-start a series of m…
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I modified simple demo to check how accurate was the model reconstruction.
I found that even with simple configuration the eigenvalues do not match.
The number of hidden states,K, 1 and both th…
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Generative modeling -- triplet works
https://github.com/mmcdermott/EventStreamGPT/blob/main/EventStream/transformer/generation/generation_utils.py#L73
Simplify this code^
With triplet code - you …