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gaussian_kernel

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

gaussian_kernel appears in the code Syntology harvested for 51 papers, as 48 distinct code bodies found in 53 places (a place is one code body under one paper). At least one of them ran in 25 of the papers; 16 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_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 23 of the 48 distinct code bodies named gaussian_kernel; 25 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

5ran · honoured contract
1ran · violated contract
4ran · our draft was wrong
3ran · fixture could not drive it
10ran
25unverified
16fingerprinted

Licence is a property of each copy, so it is counted per place: 17 of the 53 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

51 papers shown of 51, newest first; 53 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 6 papers added by Syntology; 3 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
Escaping Redundant Reasoning: Structure-Aware Search for Inference-Time LLMs added by Syntology 2026-09 (from id) GitHubLuCheng/basin/basin/embedding/similarity.py 016f39c07c73576f unverified MIT (permissive)
A Gradient Flow Perspective on Minimum MMD Estimation added by Syntology 2026-07 (from id) seulkang0518/MDF_AL/jnp_main.py d92b0a79bba2cba4 ran · honoured contract fingerprinted no licence file found · pointer only
TabCF: Distributional Control Function Estimation with Tabular Foundation Models added by Syntology 2026-05 (from id) CausalML/DeepGMM/baselines/agmm/deep_gmm.py 40939406cc6a9f16 ran · our draft was wrong fingerprinted MIT (permissive)
Free Lunch in Medical Image Foundation Model Pre-training via Randomized Synthesis and Disentanglement added by Syntology 2026-02 (from id) yweibs/RaSD/pretrain/train_RaSD/utils/gen_img.py f401780f978e9846 ran · honoured contract no licence file found · pointer only
Performance uncertainty in medical image analysis: a large-scale investigation of confidence intervals added by Syntology 2026-01 (from id) aramis-lab/CIs_Medical_Imaging/src/kernels/gaussian.py 73016539ac8a3be7 unverified no licence file found · pointer only
One-shot Conditional Sampling: MMD meets Nearest Neighbors added by Syntology 2025-09 (from id) anirbanc96/cgmmd/Ablation/nn_bandwidth/Kernels.py 4bd0b303457583b9 ran · our draft was wrong fingerprinted MIT (permissive)
Normalizing Diffusion Kernels with Optimal Transport 8 Jul 2025 RobinMagnet/SinkhornKernels/sinkhornkernels/kernels.py ca1dbb9dd33ed73d unverified MIT (permissive)
Re-thinking Temporal Search for Long-Form Video Understanding 3 Apr 2025 longvideohaystack/tstar/LVHaystackBench/val_tstar_results.py 95559112c5b7be75 unverified MIT (permissive)
Doubly robust identification of treatment effects from multiple environments 18 Mar 2025 jaabmar/RAMEN/RAMEN/models/ramen.py 1c4221b5f7ba7e83 ran · honoured contract fingerprinted MIT (permissive)
Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry 3 Mar 2025 KempnerInstitute/Overcomplete/overcomplete/sae/jump_sae.py cb509c068da815e4 ran · fixture could not drive it fingerprinted MIT (permissive)
AccDiffusion v2: Towards More Accurate Higher-Resolution Diffusion Extrapolation 3 Dec 2024 lzhxmu/accdiffusion_v2/accdiffusion_plus.py 426a6e743be91d5f ran · honoured contract fingerprinted no licence file found · pointer only
ZoomLDM: Latent Diffusion Model for multi-scale image generation 25 Nov 2024 cvlab-stonybrook/ZoomLDM/large_image_gen/utils.py cd927cf05827a83d unverified MIT (permissive)
Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis 31 Oct 2024 JiayuSuPKU/sispca/sispca/model.py 1f9ef96229ba4b75 ran · our draft was wrong fingerprinted MIT (permissive)
Data subsampling for Poisson regression with pth-root-link 30 Oct 2024 Tim907/poisson-regression/efficient_poisson_regression/metrics.py c8c367cbc656fc9a unverified no licence file found · pointer only
AP-LDM: Attentive and Progressive Latent Diffusion Model for Training-Free High-Resolution Image Generation 8 Oct 2024 kmittle/RepLDM/InferencePipelines/RepLDM/pipeline_repldm_sdxl.py 426a6e743be91d5f ran · honoured contract fingerprinted Apache-2.0 (permissive)
AP-LDM: Attentive and Progressive Latent Diffusion Model for Training-Free High-Resolution Image Generation 8 Oct 2024 kmittle/ap-ldm/InferencePipelines/FreeScale/scale_attention.py 86e9169096b0fed4 ran Apache-2.0 (permissive)
Towards Representation Learning for Weighting Problems in Design-Based Causal Inference 24 Sep 2024 oscarclivio/representations_weighting/src/metrics.py eb06aba842f4f9ef ran fingerprinted no licence file found · pointer only
HiPrompt: Tuning-free Higher-Resolution Generation with Hierarchical MLLM Prompts 4 Sep 2024 Liuxinyv/HiPrompt/hiprompt_sdxl_llava.py 426a6e743be91d5f ran · honoured contract fingerprinted no licence file found · pointer only
Statistical and Geometrical properties of regularized Kernel Kullback-Leibler divergence 29 Aug 2024 clementinechazal/KKL-divergence-gradient-flows/Regularized/kale_flow_master/kernel_wasserstein_flows/kernel_wasserstein_flows/kernels.py 6fb23c47226c3604 ran fingerprinted no licence file found · pointer only
AccDiffusion: An Accurate Method for Higher-Resolution Image Generation 15 Jul 2024 lzhxmu/AccDiffusion/accdiffusion_sdxl.py 426a6e743be91d5f ran · honoured contract fingerprinted no licence file found · pointer only
Mirror and Preconditioned Gradient Descent in Wasserstein Space 13 Jun 2024 clbonet/Mirror_and_Preconditioned_Gradient_Descent_in_Wasserstein_Space/lib_jax/mmdf.py de0ddc485474c498 ran no licence file found · pointer only
Kernel Semi-Implicit Variational Inference 29 May 2024 longinyu/ksivi/utils/kernels.py 447cd6e519ab757f ran · fixture could not drive it fingerprinted no licence file found · pointer only
Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies 29 May 2024 haanvid/kmifqe/KMIFQE.py 375fe0e2f099808a ran · fixture could not drive it fingerprinted MIT (permissive)
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses 28 May 2024 pakoromilas/DHEL-KCL/utils.py 01e2c8ff869dd49d ran fingerprinted no licence file found · pointer only
On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning? 3 May 2024 maxzanella/mta/mta.py abf7adc7e3aac64a ran · our draft was wrong fingerprinted MIT (permissive)
Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures 29 Jan 2024 ibm/learn-vector-symbolic-architectures-rule-formulations/src/attribute_level_backend.py 1c8dd285caf66c7d ran fingerprinted GPL-3.0 (copyleft) · pointer only
Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty 2 Dec 2023 joeyy5588/planning-as-inpainting/datasets/alfred.py 40966c231d479773 ran no licence file found · pointer only
Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty 2 Dec 2023 joeyy5588/planning-as-inpainting/datasets/gridworld_heatmap.py ee3a6cf6057e204e ran no licence file found · pointer only
Robust Concept Erasure via Kernelized Rate-Distortion Maximization 30 Nov 2023 brcsomnath/KRaM/src/metrics.py c4b2effb5d8110a1 ran MIT (permissive)
DemoFusion: Democratising High-Resolution Image Generation With No $$$ 24 Nov 2023 PRIS-CV/DemoFusion/pipeline_demofusion_sdxl_controlnet.py 426a6e743be91d5f ran · honoured contract fingerprinted MIT (permissive)
What's in a Prior? Learned Proximal Networks for Inverse Problems 22 Oct 2023 sulam-group/learned-proximal-networks/lpn/operators/blur.py c8dfbf8c31f8fd0d ran Apache-2.0 (permissive)
Doubly Robust Proximal Causal Learning for Continuous Treatments 22 Sep 2023 yezichu/pcl_continuous_treatment/utils/kernel.py ed2c5f8630d24404 unverified MIT (permissive)
Harmonizing the object recognition strategies of deep neural networks with humans 8 Nov 2022 serre-lab/harmonization/harmonization/common/blur.py 4f95baae9c000390 unverified MIT (permissive)
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions 24 Oct 2022 haanvid/kmis/off_pol_eval_functs.py 0f48c368746fcb00 unverified MIT (permissive)
Spherical Sliced-Wasserstein 17 Jun 2022 clbonet/Spherical_Sliced-Wasserstein/SWAE/xp_swae.py dc6fed6be8b7877e ran · violated contract fingerprinted no licence file found · pointer only
$p$-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets 25 Mar 2022 cxan96/efficient-probit-regression/efficient_probit_regression/metrics.py c8c367cbc656fc9a unverified MIT (permissive)
Instrument Space Selection for Kernel Maximum Moment Restriction 7 Jun 2021 RuiZhang2016/Instrument-Space-Selection-for-Kernel-Maximum-Moment-Restriction/our_method/lisc_linear.py c345cceb5f51f7cb ran · honoured contract fingerprinted no licence file found · pointer only
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions 2 Jun 2021 borgwardtlab/ggme/src/metrics/kernels.py 31a99a406af1fcf6 unverified BSD-3-Clause (permissive)
Distribution Matching for Rationalization 1 Jun 2021 kochsnow/distribution-matching-rationality/core/dist.py 554a1badcccb0448 unverified MIT (permissive)
Feature Space Targeted Attacks by Statistic Alignment 25 May 2021 yaya-cheng/PAA-GAA/fp_attack_den121.py f783efd94b081745 unverified Apache-2.0 (permissive)
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions 14 May 2020 qingzwang/AudioVisualCrowdCounting/misc/ssim_loss.py 1572a091b2b5d602 unverified MIT (permissive)
Stillleben: Realistic Scene Synthesis for Deep Learning in Robotics 12 May 2020 AIS-Bonn/stillleben/python/stillleben/diff.py eccc758395dac1a4 unverified MIT (permissive)
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning 24 Apr 2020 microsoft/DisentangledFaceGAN/training/loss_control.py 66f866bbf81a287d unverified MIT (permissive)
Probabilistic Pixel-Adaptive Refinement Networks 31 Mar 2020 visinf/ppac_refinement/src/models_refine/refinement_networks.py 57ad6170ea367d6e unverified Apache-2.0 (permissive)
Machine learning enables completely automatic tuning of a quantum device faster than human experts 8 Jan 2020 oxquantum-repo/Tuning_old/registration_core.py a2f01c3070ff282f unverified MIT (permissive)
MLPerf Inference Benchmark 6 Nov 2019 mlcommons/inference/vision/medical_imaging/3d-unet-kits19/inference_utils.py dd5f36b69e453200 unverified Apache-2.0 (permissive)
Correlation Coefficients and Semantic Textual Similarity 19 May 2019 Babylonpartners/corrsim/similarity/cka.py 8977dd7933a6415a unverified Apache-2.0 (permissive)
Spatial-Temporal Person Re-identification 8 Dec 2018 SurajDonthi/Multi-Camera-Person-Re-Identification/mtmct_reid/metrics.py fcbb1dec4242c64e unverified MIT (permissive)
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families 8 Jun 2015 karlnapf/kernel_exp_family/kernel_exp_family/kernels/kernels.py 1a4110008b634268 unverified BSD-3-Clause (permissive)
Point-Set Registration: Coherent Point Drift 15 May 2009 siavashk/pycpd/pycpd/utility.py 4f1931c292e385c7 unverified MIT (permissive)
arXiv:aaai_27987 ajevnisek/optimize-and-reduce/models/pyramid.py 2951c06021603cd6 unverified MIT (permissive)
arXiv:Li_Data_Valuation_and_Detections_in_Federated_Learning_CVPR_2024_paper muz1lee/MOTdata/geomloss/kernel_samples.py e48a4e3b1a768ff6 unverified MIT (permissive)
arXiv:Danier_ST-MFNet_A_Spatio-Temporal_Multi-Flow_Network_for_Frame_Interpolation_CVPR_2022_paper danielism97/ST-MFNet/utility.py 3157c8f51fa54ff6 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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