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vae_loss

Syntologyentry name in harvested coderead from the graph 2026-09-24

vae_loss appears in the code Syntology harvested for 8 papers, as 8 distinct code bodies found in 8 places (a place is one code body under one paper). At least one of them ran in 4 of the papers; 1 of the code bodies carries a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named vae_loss do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 4 of the 8 distinct code bodies named vae_loss; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
2ran
4unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 8 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

8 papers shown of 8, newest first; 8 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 3 papers added by Syntology. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
NExT-Game 2026: New Frontiers in Game-Theoretic Learning -ICML 2026 Workshop Towards Learning Representations of Policies in Two-Player Zero-Sum Imperfect-Information Games added by Syntology 2026-07 (from id) VitamintK/ssl-project/experiments/grover_vae_encoder.py 278a01a808fdf3ba ran no licence file found · pointer only
Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries added by Syntology 2026-04 (from id) NatLabRockies/BatFIT/batfit/model/vae.py 2317e82fdb157476 unverified BSD-3-Clause (permissive)
CHRONOGRAPH: A Real-World Graph-Based Multivariate Time Series Dataset added by Syntology 2025-09 (from id) bit-ml/ChronoGraph/code/autoencoder.py 253d4820e699abf6 unverified Apache-2.0 (permissive)
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite 28 Sep 2023 vgsatorras/egnn/losess.py 917b57193d100781 ran MIT (permissive)
Improving Zero-Shot Generalization for CLIP with Synthesized Prompts 14 Jul 2023 mrflogs/SHIP/main_coop_vae.py 2fd41422bc8d950b ran · honoured contract no licence file found · pointer only
Gradient Origin Networks 6 Jul 2020 cwkx/GON/Variational-GON.py 914a6c717f54ca6c unverified MIT (permissive)
Neural Discrete Representation Learning 2 Nov 2017 yjlolo/vae-audio/model/loss.py afb08782fd097f05 unverified MIT (permissive)
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data 20 May 2016 gregorsemmler/pytorch-dvbf/training.py d3b26cd5fe128604 ran · our draft was wrong fingerprinted no licence file found · pointer only

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections