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conv_cond_concat

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

conv_cond_concat appears in the code Syntology harvested for 10 papers, as 6 distinct code bodies found in 10 places (a place is one code body under one paper). At least one of them ran in 0 of the papers; 0 of the code bodies carry 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 conv_cond_concat 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 0 of the 6 distinct code bodies named conv_cond_concat; 6 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
0ran
6unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 0 of the 10 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

10 papers shown of 10, newest first; 10 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. 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
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series 16 Feb 2022 khalooei/ALOCC-CVPR2018/ops.py 97a17fbee43a92bd unverified MIT (permissive)
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models 9 Sep 2019 DingfanChen/GAN-Leaks/gan_models/dcgan/ops.py 2906e84dbebc3e14 unverified MIT (permissive)
Self-Supervised GANs via Auxiliary Rotation Loss 27 Nov 2018 vandit15/Self-Supervised-Gans-Pytorch/ops.py bc3f0c5701ef3b57 unverified MIT (permissive)
Robustness of Conditional GANs to Noisy Labels 8 Nov 2018 POLane16/Robust-Conditional-GAN/mnist/ops.py 97a17fbee43a92bd unverified MIT (permissive)
Modeling Sparse Deviations for Compressed Sensing using Generative Models 4 Jul 2018 ermongroup/sparse_gen/celebA_dcgan/ops.py bcb75c6ee41f4e8c unverified MIT (permissive)
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees 23 Feb 2018 shahviraj/pgdgan/celebA_dcgan/ops.py bcb75c6ee41f4e8c unverified MIT (permissive)
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery 17 Mar 2017 LeeDoYup/AnoGAN/ops.py d5f19e9b7af11f57 unverified MIT (permissive)
Image-to-Image Translation with Conditional Adversarial Networks 21 Nov 2016 yenchenlin/pix2pix-tensorflow/ops.py bcb75c6ee41f4e8c unverified MIT (permissive)
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy 14 Nov 2016 dougalsutherland/opt-mmd/gan/ops.py f62556c1124a15ae unverified BSD-3-Clause (permissive)
Is the deconvolution layer the same as a convolutional layer? 22 Sep 2016 atriumlts/subpixel/ops.py f62556c1124a15ae unverified MIT (permissive)

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