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nll

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

nll appears in the code Syntology harvested for 20 papers, as 18 distinct code bodies found in 20 places (a place is one code body under one paper). At least one of them ran in 7 of the papers; 2 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 nll 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 6 of the 18 distinct code bodies named nll; 12 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
2ran · fixture could not drive it
2ran
12unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 20 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

20 papers shown of 20, newest first; 20 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 4 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
DP-IVON-Gradsq: Differentially Private Squared-Gradient Improved Variational Online Newton added by Syntology 2026-07 (from id) NourJamoussi/DP-IVON-Gradsq/utils/scores.py 10d41e91be4e1c7b unverified no licence file found · pointer only
Topological Data Analysis for High-Dimensional Dynamic Process Monitoring added by Syntology 2026-06 (from id) zavalab/ML/AUTOGNNUQ/gnn_uq/gnn_model.py 375315f53b291d52 ran · our draft was wrong no licence file found · pointer only
Probabilistic Federated Learning on Uncertain and Heterogeneous Data with Model Personalization added by Syntology 2026-03 (from id) Ratun11/Meta-BayFL/DFL/meta_iid_fed_bnn.py 0e70a02a4461a121 unverified MIT (permissive)
Scaling Up Active Testing to Large Language Models added by Syntology 2025-08 (from id) gabrielleberrada/scaling-up-active-testing/metrics.py 44c95b9e049bea62 unverified no licence file found · pointer only
Sum of Squares Circuits 21 Aug 2024 anon-npc/squared-npcs/src/pcs/losses.py ef985b93b7854c9f ran fingerprinted GPL-3.0 (copyleft) · pointer only
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series 8 Jan 2024 ibm-granite/granite-tsfm/tsfm_public/models/tinytimemixer/modeling_tinytimemixer.py 3f24fcf4f6794d81 ran · our draft was wrong Apache-2.0 (permissive)
Automatic Integration for Spatiotemporal Neural Point Processes 9 Oct 2023 rose-stl-lab/autostpp/src/demo/AlternatingMLE.py 9d4910533c76cd3b ran MIT (permissive)
Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search 19 Jul 2023 sjiang87/deephyper/deephyper/gnn_uq/gnn_model/gnn_model.py 375315f53b291d52 ran · our draft was wrong no licence file found · pointer only
Taylorformer: Probabilistic Modelling for Random Processes including Time Series 30 May 2023 oremnirv/Taylorformer/model/losses.py a432f66477b03b6f unverified MIT (permissive)
Stochastic Multiple Target Sampling Gradient Descent 4 Jun 2022 isl-org/MultiObjectiveOptimization/multi_task/losses.py a90eec2e662e141f unverified MIT (permissive)
Inverse-Weighted Survival Games 16 Nov 2021 rajesh-lab/inverse-weighted-survival-games/_nll.py b03fa74736ee412a unverified MIT (permissive)
Identifying and Benchmarking Natural Out-of-Context Prediction Problems 25 Oct 2021 dmadras/nooch/src/nooch.py b246bd5672f4ff91 unverified BSD-3-Clause (permissive)
Evidential Turing Processes 2 Jun 2021 ituvisionlab/EvidentialCalibration/scores.py 3d7e17b5dada4cfd unverified MIT (permissive)
Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration 24 Feb 2021 tochris/pts-uncertainty/metrics.py 506ff14b8deaee02 ran · fixture could not drive it no licence file found · pointer only
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels 13 Jun 2020 xingchenwan/nasbowl/perf_metrics.py 764c6062e2d15820 unverified MIT (permissive)
A Disentangling Invertible Interpretation Network for Explaining Latent Representations 27 Apr 2020 CompVis/iin/iin/losses/iin.py 2c181328877e9fc7 unverified MIT (permissive)
Subspace Inference for Bayesian Deep Learning 17 Jul 2019 wjmaddox/drbayes/experiments/cifar_exps/subspace_ess.py 5468f8d7bb560ad8 ran · fixture could not drive it fingerprinted BSD-2-Clause (permissive)
A Simple Baseline for Bayesian Uncertainty in Deep Learning 7 Feb 2019 wjmaddox/swa_gaussian/experiments/ensembling/swa_ecdf_ensembles.py 3ccff5ae337f212a unverified BSD-2-Clause (permissive)
Multi-Task Learning as Multi-Objective Optimization 10 Oct 2018 IntelVCL/MultiObjectiveOptimization/multi_task/losses.py a90eec2e662e141f unverified MIT (permissive)
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification 28 May 2018 dmilios/dirichletGPC/src/evaluation.py 3c6005ebef9dd7e9 unverified Apache-2.0 (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