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add_gaussian_noise

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

add_gaussian_noise appears in the code Syntology harvested for 25 papers, as 26 distinct code bodies found in 26 places (a place is one code body under one paper). At least one of them ran in 15 of the papers; 7 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 add_gaussian_noise 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 15 of the 26 distinct code bodies named add_gaussian_noise; 11 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

3ran · honoured contract
1ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
9ran
11unverified
7fingerprinted

Licence is a property of each copy, so it is counted per place: 9 of the 26 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

25 papers shown of 25, newest first; 26 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; 2 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
Restoring Without Forgetting: Continual Learning Across Image Degradations added by Syntology 2026-08 (from id) AlifAshrafee/Restoring-Without-Forgetting/degradations.py 6a4415d5c7a0b330 ran no licence file found · pointer only
Robust Auto-associative Memory via Convolutional Restricted Hopfield Networks added by Syntology 2026-06 (from id) C16Mftang/covariance-learning-PCNs/src/get_data.py f71f0fdf5e867c84 ran no licence file found · pointer only
Order within Chaos: Capturing Intrinsic Energy Anomalies for AI-Manipulated Image Forgery Localization added by Syntology 2026-06 (from id) phoenixnir/FLAME/FLAME/utils/perturbations.py bcb4e83e9f4c75b5 ran no licence file found · pointer only
Tabular Foundation Models Can Learn Association Rules added by Syntology 2026-02 (from id) DiTEC-project/tabprobe/src/wrapper/tabprobe.py da4ecd76c60aee17 ran · honoured contract fingerprinted MIT (permissive)
Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time 3 Mar 2025 jdonnelly36/proto-rset/protopnet/metrics.py a66bbb3d304f6150 unverified MIT (permissive)
AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving 19 Dec 2024 taco-group/autotrust/src/noise_add.py ad7192037ac896ef unverified Apache-2.0 (permissive)
MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization 9 Dec 2024 aiming-lab/MMedPO/inference/llava-med-1.5_vqa.py d2bfc515570f0eed ran · violated contract Apache-2.0 (permissive)
MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization 9 Dec 2024 aiming-lab/mmedpo/inference/llava-med-1.5_report.py 8f611a3a3069da33 unverified Apache-2.0 (permissive)
Understanding Inter-Concept Relationships in Concept-Based Models 28 May 2024 naveenr414/Concept-Learning/src/dataset.py b46d787c7739ef2d ran no licence file found · pointer only
FLAME Diffuser: Wildfire Image Synthesis using Mask Guided Diffusion 6 Mar 2024 AIS-Clemson/FLAME_SD/Flame_diffuser_binary_mask.py eeeb4d8815f3913c ran fingerprinted no licence file found · pointer only
XAI-Based Detection of Adversarial Attacks on Deepfake Detectors 5 Mar 2024 razla/xai-based-detection-of-adversarial-attacks-on-deepfake-detectors/robust_transforms.py a47ffbdfd29954cc ran no licence file found · pointer only
Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More 5 Dec 2023 jan-schuchardt/invariance-smoothing/pointcloud_invariance_smoothing/training.py fee01cc7d1d5c624 ran MIT (permissive)
SemiReward: A General Reward Model for Semi-supervised Learning 4 Oct 2023 Westlake-AI/SemiReward/semilearn/algorithms/semireward/semireward.py c416c897b374d349 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection 23 Aug 2023 zhoujingchun03/amsp-uod/val.py 38418626f32f380e ran fingerprinted no licence file found · pointer only
Characterizing Data Point Vulnerability via Average-Case Robustness 26 Jul 2023 ai4life-group/average-case-robustness/estimators/fns_add_noise.py 639a0058eb04fb0d ran MIT (permissive)
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement 13 Jul 2023 kaffaljidhmah2/rcgdm/fake_dataset.py e22d5d89e893bd94 unverified MIT (permissive)
BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief Propagation 13 Jun 2023 eth-siplab/beliefppg/beliefppg/util/augmentations.py c0811adb00c0c99b unverified MIT (permissive)
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review 27 Aug 2022 nicob15/state_representation_learning_methods/utils.py 932dcb85f985edaa unverified MIT (permissive)
USB: A Unified Semi-supervised Learning Benchmark for Classification 12 Aug 2022 Westlake-AI/SemiReward/semilearn/algorithms/semireward/semireward.py 2ece83a7233a5806 ran · honoured contract fingerprinted Apache-2.0 (permissive)
Provably Good Batch Reinforcement Learning Without Great Exploration 16 Jul 2020 yaoliucs/PQL/BCQ.py 7a5ca9e02cb89716 unverified MIT (permissive)
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation 9 Jun 2020 lim0606/pytorch-ardae-rl/models/graddae/mlp.py 227e853b8ec43231 ran · our draft was wrong fingerprinted no licence file found · pointer only
Suppressing Uncertainties for Large-Scale Facial Expression Recognition 24 Feb 2020 kaiwang960112/Self-Cure-Network/src/image_utils.py 4a205054e9598fcd ran · honoured contract fingerprinted no licence file found · pointer only
Recurrent CNN for 3D Gaze Estimation using Appearance and Shape Cues 8 May 2018 crisie/RecurrentGaze/images_data_augmenter_seqaware.py 41089fa584fba486 unverified MIT (permissive)
Dynamic Routing Between Capsules 26 Oct 2017 ecstayalive/Degenerate-capsule-neural-network/capsule_net/utils/add_noise.py 0d412a9be3a2a5d6 unverified Apache-2.0 (permissive)
arXiv:Zhang_Point_Cloud_Upsampling_Using_Conditional_Diffusion_Module_with_Adaptive_Noise_CVPR_2025_paper Baty2023/PDANS/pointnet2/dataloader/prepare_dataset.py 52f38a73fe1a8e41 unverified MIT (permissive)
arXiv:Zang_IntraTomo_Self-Supervised_Learning-Based_Tomography_via_Sinogram_Synthesis_and_Prediction_ICCV_2021_paper matheusgadelha/ShapeRecDeepPrior/experiments/denoiseradon.py 9e4460e45cbdb057 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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