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gaussian_log_likelihood

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

gaussian_log_likelihood appears in the code Syntology harvested for 9 papers, as 8 distinct code bodies found in 9 places (a place is one code body under one paper). At least one of them ran in 1 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 gaussian_log_likelihood 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 1 of the 8 distinct code bodies named gaussian_log_likelihood; 7 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
1ran
7unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 0 of the 9 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

9 papers shown of 9, newest first; 9 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
Geometric Trajectory Diffusion Models 16 Oct 2024 hanjq17/geotdm/diffusion/losses.py 64d1fb56f7e05906 ran MIT (permissive)
Efficient Certified Training and Robustness Verification of Neural ODEs 9 Mar 2023 eth-sri/gains/latent_attack_MAE.py 5b1337f672e212f6 unverified MIT (permissive)
Epistemic Neural Networks 19 Jul 2021 google-deepmind/enn/enn/losses/vae_losses.py cf2414e3657a07d7 unverified Apache-2.0 (permissive)
StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows 6 Aug 2020 xuduo35/StyleFlowPytorch/module/utils.py 6306abd15a0062d5 unverified MIT (permissive)
Neural Jump Ordinary Differential Equations: Consistent Continuous-Time Prediction and Filtering 8 Jun 2020 HerreraKrachTeichmann/ControlledODERNN/latent_ODE/likelihood_eval_LODE.py bd43eff2ee1d2449 unverified MIT (permissive)
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows 28 Jun 2019 stevenygd/PointFlow/utils.py 6306abd15a0062d5 unverified MIT (permissive)
Multi-Object Representation Learning with Iterative Variational Inference 1 Mar 2019 zhixuan-lin/IODINE/lib/modeling/iodine.py 4b24cc3d787209ad unverified MIT (permissive)
Panning for Gold: Model-X Knockoffs for High-dimensional Controlled Variable Selection 2016-10 (from id) amspector100/knockpy/knockpy/metro.py ce1e7a9ba67294a2 unverified MIT (permissive)
Towards a Neural Statistician 7 Jun 2016 cravingoxygen/neuralstat/tests.py 2e7d466cc00bbeab 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