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kernel

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

kernel appears in the code Syntology harvested for 22 papers, as 19 distinct code bodies found in 22 places (a place is one code body under one paper). At least one of them ran in 10 of the papers; 3 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 kernel 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 9 of the 19 distinct code bodies named kernel; 10 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
1ran · fixture could not drive it
5ran
10unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 8 of the 22 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

22 papers shown of 22, newest first; 22 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 5 papers added by Syntology; 1 papers have no page here and are shown by arXiv id only. 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
A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables added by Syntology 2026-05 (from id) zhengli0060/DiCoLa-ICML2026/compare_algs/causallearn_package/utils/ScoreUtils.py a084bc313faa18ab unverified MIT (permissive)
Architecture-Induced Recoverability Bias in Differentiable Symbolic Regression added by Syntology 2026-04 (from id) ChakshuGupta13/lab/alife/gupta2026lenia/code/lenia.py 72e542abd1787b52 ran CC-BY-4.0 · pointer only
The Golden Subspace: Where Efficiency Meets Generalization in Continual Test-Time Adaptation added by Syntology 2026-03 (from id) AIGNLAI/GOLD/classification/methods/cmf.py b086cfc2dfe368f4 unverified no licence file found · pointer only
Exact Graph Learning via Integer Programming added by Syntology 2026-01 (from id) py-why/causal-learn/causallearn/utils/ScoreUtils.py a084bc313faa18ab unverified MIT (permissive)
SpeedCP: Fast Kernel-Based Conditional Conformal Prediction added by Syntology 2025-09 (from id) yeojin-jung/speedcp/speedcp/utils.py 62ef2c7c0e6f7e9d unverified MIT (permissive)
Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models 27 Jun 2024 linghan1997/regression-based-analytic-incremental-learning/utils.py ccbfd937580443e4 ran fingerprinted no licence file found · pointer only
When does compositional structure yield compositional generalization? A kernel theory 26 May 2024 sflippl/compositional-generalization/simple_compositional_tasks/models/kernel_machines.py 4dd4ca690ab53814 ran no licence file found · pointer only
Backpropagation-free Network for 3D Test-time Adaptation 27 Mar 2024 abie-e/bftt3d/run_BFTT3D_mn40.py 8189624c101067de ran no licence file found · pointer only
The Elements of Differentiable Programming 21 Mar 2024 diffprog/code/data_struct/plot_dict_kernel_estim.py 81dda7d4de68eb97 ran fingerprinted Apache-2.0 (permissive)
Federated Causal Discovery from Heterogeneous Data 20 Feb 2024 lokali/FedCDH/causallearn/utils/ScoreUtils.py 98df2a458d28d6c9 unverified no licence file found · pointer only
Data-driven Prior Learning for Bayesian Optimisation 24 Nov 2023 sighellan/plebo/mcmc/prior_learning.py 542c58186c3365ba ran · our draft was wrong fingerprinted no licence file found · pointer only
Sound propagation in realistic interactive 3D scenes with parameterized sources using deep neural operators 9 Aug 2023 dtu-act/deeponet-acoustic-wave-prop/deeponet_acoustics/models/CEOD.py 7b330dbcaa7182eb unverified MIT (permissive)
Functional Flow Matching 26 May 2023 gavinkerrigan/functional_flow_matching/models/gano_models.py d0c296ad2f898205 ran · our draft was wrong MIT (permissive)
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data 29 Jan 2023 snu-mllab/neural-relation-graph/relation.py 882280247d87526d ran · our draft was wrong MIT (permissive)
AdaFNIO: Adaptive Fourier Neural Interpolation Operator for video frame interpolation 19 Nov 2022 HrishikeshVish/AdaFNIO/NIO.py d0c296ad2f898205 ran · our draft was wrong no licence file found · pointer only
Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources 14 Oct 2022 hci-unihd/BranchedOT/src/greedy_topology_optimization.py 383e7bb99ccb4c4a unverified MIT (permissive)
Kernel Relative-prototype Spectral Filtering for Few-shot Learning 24 Jul 2022 zhangtao2022/DSFN/models/classification_heads.py 617a350f818c273a ran · fixture could not drive it MIT (permissive)
Robust pricing and hedging via neural SDEs 8 Jul 2020 ericavanee/bicausal_wasserstein_mtglproj/src/adapted_mtgl/mtgl_test/mtgl.py 9ae524158f4feefb unverified MIT (permissive)
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm 16 Aug 2016 feynmanliang/dist-svgd/experiments/gmm.py 552376bd52d01b1e unverified MIT (permissive)
A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification 14 Jun 2016 steveli/gp-adapter/gp_kernel.py 95e644b77d25a0a5 unverified MIT (permissive)
Return of Frustratingly Easy Domain Adaptation 17 Nov 2015 vincent-vercruyssen/transfertools/transfertools/utils/utils.py a89c1e6286834a6b unverified Apache-2.0 (permissive)
arXiv:Ni_Maintaining_Consistent_Inter-Class_Topology_in_Continual_Test-Time_Adaptation_CVPR_2025_paper Successybbdwm/TCA/classification/methods/cmf.py b086cfc2dfe368f4 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".

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