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generate_data

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

generate_data appears in the code Syntology harvested for 66 papers, as 74 distinct code bodies found in 76 places (a place is one code body under one paper). At least one of them ran in 32 of the papers; 8 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 generate_data 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 36 of the 74 distinct code bodies named generate_data; 38 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
17ran · our draft was wrong
1ran · fixture could not drive it
17ran
38unverified
8fingerprinted

Licence is a property of each copy, so it is counted per place: 27 of the 76 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

66 papers shown of 66, newest first; 76 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 7 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
A Joint-Distribution Route to Fair Representations with Continuous Sensitive Attributes added by Syntology 2026-08 (from id) Yijin911/FRHSIC/experiments/ablation.py 8617eb9e57635918 ran fingerprinted MIT (permissive)
A Joint-Distribution Route to Fair Representations with Continuous Sensitive Attributes added by Syntology 2026-08 (from id) Yijin911/FRHSIC/experiments/convergence.py 114b0dfd5a60edf2 ran MIT (permissive)
Causal Risk Minimization for High-Dimensional Treatments added by Syntology 2026-05 (from id) nikitadhawan/causal-risk-minimization/src/toy_gaussian.py 8a28e743322d5ccc ran no licence file found · pointer only
SMART: A Spectral Transfer Approach to Multi-Task Learning added by Syntology 2026-04 (from id) boxinz17/smart/smart/smart/utils.py 42cf52dc429d354f unverified MIT (permissive)
CREDO: Epistemic-Aware Conformalized Credal Envelopes for Regression added by Syntology 2026-03 (from id) Monoxido45/CREDO/comparisons/helper.py 91173f35dc520a93 unverified no licence file found · pointer only
The Ensemble Inverse Problem: Applications and Methods added by Syntology 2026-01 (from id) ZhengyanHuan/The-Ensemble-Inverse-Problem--Applications-and-Methods/Sec3p2/dataset.py 537c31adc165dffa unverified no licence file found · pointer only
Information Hidden in Gradients of Regression with Target Noise added by Syntology 2026-01 (from id) edahelsinki/noisy_targets/notes/utils.py f30a106451e1487e unverified MIT (permissive)
Low-Dimensional Adaptation of Rectified Flow: A Diffusion and Stochastic Localization Perspective added by Syntology 2026-01 (from id) roysaptaumich/Low-dim-RF/data_generator.py e4b938638f0e2605 unverified no licence file found · pointer only
Safe Domains of Attraction for Discrete-Time Nonlinear Systems: Characterization and Verifiable Neural Network Estimation 16 Jun 2025 RuikunZhou/Safe_ROA_dt_LyZNet/src/lyznet/generate_data.py e66ffc24945aaea7 unverified no licence file found · pointer only
On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization 6 Jun 2025 CyberAgentAILab/dte_car/simulation.py 43eac1e884497105 ran · our draft was wrong fingerprinted MIT (permissive)
Unpacking Positional Encoding in Transformers: A Spectral Analysis of Content-Position Coupling 19 May 2025 Qihuai27/Deposit-Pattern-Research/dis_gen/1_data_preparation/data-gen.py 2e688674c9dc7c67 ran · our draft was wrong MIT (permissive)
Globally Convergent Variational Inference 14 Jan 2025 declanmcnamara/gcvi_neurips/amortized_clustering/generate.py 9419bd6dacc97f35 unverified MIT (permissive)
Globally Convergent Variational Inference 14 Jan 2025 declanmcnamara/gcvi_neurips/canonical_gaussian/generate.py 0e38816dc105e9f8 unverified MIT (permissive)
Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning 1 Nov 2024 KU-MLIP/SolvableMultiFeatureGAN/data.py d3542fe2e07d4605 unverified no licence file found · pointer only
An Information Criterion for Controlled Disentanglement of Multimodal Data 31 Oct 2024 uhlerlab/DisentangledSSL/synthetic_task/dataset.py f14b06907824c231 unverified no licence file found · pointer only
High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching 14 Oct 2024 Leyangw/tsm/loggle/Loggle_ROC.py b343b024bcdb434e ran MIT (permissive)
High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching 14 Oct 2024 Leyangw/tsm/loggle/Loggle_power.py 6873a0bfe21b5090 ran MIT (permissive)
High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching 14 Oct 2024 Leyangw/tsm/loggle/Loggle_type_i_deterministic.py c5c14cafa07d89b3 ran MIT (permissive)
High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching 14 Oct 2024 Leyangw/tsm/loggle/Loggle_type_i_random.py 03ca2cd855ca00ee ran MIT (permissive)
Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection 28 Jun 2024 mala-lab/sten/utils/data.py 8a3cb24dcc21da58 ran no licence file found · pointer only
Redefining Contributions: Shapley-Driven Federated Learning 1 Jun 2024 tnurbek/shapfed/data_loader.py ff381e1e66566414 ran Apache-2.0 (permissive)
Deep linear networks for regression are implicitly regularized towards flat minima 22 May 2024 PierreMarion23/implicit-reg-sharpness/utils.py 5870180258b6c8a6 ran MIT (permissive)
Stabilizing Backpropagation Through Time to Learn Complex Physics 3 May 2024 tum-pbs/StableBPTT/CartPole/Simulations/01/multi_cartpole_data.py c0a943c1eb479ed7 ran GPL-3.0 (copyleft) · pointer only
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations 15 Apr 2024 krzysztof-kacprzyk/shares/experiments/risk_scores_data.py bc19b59ce41fe5ec ran no licence file found · pointer only
Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference 15 Mar 2024 declanmcnamara/smc-wake/high_dim_gaussian/generate.py 386eeb10aa3dd7b3 ran no licence file found · pointer only
Prediction-Powered Ranking of Large Language Models 27 Feb 2024 Networks-Learning/prediction-powered-ranking/src/synthetic.py 89a90895358d82f5 ran MIT (permissive)
DoRA: Weight-Decomposed Low-Rank Adaptation 14 Feb 2024 catid/dora/dora.py f040823d10747c45 ran · our draft was wrong fingerprinted MIT (permissive)
Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects 7 Feb 2024 predict-idlab/cct-cmc/src/datasets/alaa_synthetic.py 484ffc15894a9366 ran MIT (permissive)
The Rise of Diffusion Models in Time-Series Forecasting 5 Jan 2024 ai4healthuol/sssd/src/entensions/cauchy/benchmark_cauchy.py 6ecb7499d0e944c1 ran MIT (permissive)
Linear attention is (maybe) all you need (to understand transformer optimization) 2 Oct 2023 chengxiang/lineartransformer/linear_transformer.py 50007a7805d0a01a ran · our draft was wrong no licence file found · pointer only
A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data 24 Sep 2023 ailwq/dysymnet/DySymNet/SymbolicRegression.py c65e59afc4e6086a ran · our draft was wrong fingerprinted MIT (permissive)
A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data 24 Sep 2023 ailwq/dysymnet/DySymNet/SymbolicRegression.py 8fc5b034a28064c8 unverified MIT (permissive)
A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services 2023-09 (from id) tasi-lab/over-unlearning/generate_attack.py 6aac7cb910311018 ran · our draft was wrong no licence file found · pointer only
Information decomposition in complex systems via machine learning 10 Jul 2023 distributed-information-bottleneck/distributed-information-bottleneck.github.io/chaos/chaos_data.py 7406399ef46ff704 ran no licence file found · pointer only
Factorized Contrastive Learning: Going Beyond Multi-view Redundancy 8 Jun 2023 pliang279/FactorCL/Synthetic/dataset.py 163224ba7c2a61f9 unverified MIT (permissive)
End-to-end Differentiable Clustering with Associative Memories 5 Jun 2023 bsaha205/clam/plot_gaussian.py ac7a55ce33b3c50e unverified MIT (permissive)
Conformal Prediction with Missing Values 5 Jun 2023 mzaffran/conformalpredictionmissingvalues/generation.py 2f4cd90bdd887e3f unverified MIT (permissive)
Combinatorial Bandits for Maximum Value Reward Function under Max Value-Index Feedback 25 May 2023 sketch-exp/kmax/experiments/framework-cat.py d80e19aba9bcc4e5 unverified Apache-2.0 (permissive)
Combinatorial Bandits for Maximum Value Reward Function under Max Value-Index Feedback 25 May 2023 sketch-exp/kmax/experiments/framework.py 9e55351dce950570 unverified Apache-2.0 (permissive)
Kernel based quantum machine learning at record rate : Many-body distribution functionals as compact representations 2023-03 (from id) dkhan42/mbdf/MBDF.py 3c1a9d2ef023d705 unverified MIT (permissive)
Identifiability Results for Multimodal Contrastive Learning 16 Mar 2023 imantdaunhawer/multimodal-contrastive-learning/main_mlp.py fc680d8d1ece352b ran · our draft was wrong licence not identified · pointer only
Kernel Conditional Moment Constraints for Confounding Robust Inference 26 Feb 2023 kstoneriv3/confounding-robust-inference-old/kcmc/data_binary.py 7183e20cd75cfd98 unverified MIT (permissive)
Kernel Conditional Moment Constraints for Confounding Robust Inference 26 Feb 2023 kstoneriv3/confounding-robust-inference-old/kcmc/data_continuous.py c7f42d4663c6fe4d unverified MIT (permissive)
Generalizing Gaussian Smoothing for Random Search 27 Nov 2022 isl-org/generalized-smoothing/LinearRegression/samplers.py 9a08b9c25cf3ff73 unverified MIT (permissive)
Deep Isolation Forest for Anomaly Detection 14 Jun 2022 xuhongzuo/deep-iforest/create_scal_data.py ebd0591813c141a1 unverified Apache-2.0 (permissive)
Unveiling Transformers with LEGO: a synthetic reasoning task 9 Jun 2022 yizhangzzz/transformers-lego/lego_data.py 20cc1f6911cd7b62 ran · our draft was wrong Apache-2.0 (permissive)
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances 7 Jun 2022 rubenohana/pac-bayesian_sliced-wasserstein/evaluate_vmf.py 469a30afba6c9809 ran · honoured contract fingerprinted no licence file found · pointer only
Direct search based on probabilistic descent in reduced spaces 2022-04 (from id) lindonroberts/directsearch/examples/nonconvex_regression.py 54f8d88e68c76d98 ran · our draft was wrong GPL-3.0 (copyleft) · pointer only
Learning Optimal Test Statistics in the Presence of Nuisance Parameters 2022-03 (from id) lukasheinrich/learning_best_average_power/wald_train.py 381e82d3eb0c4a3b unverified MIT (permissive)
On the Usefulness of the Fit-on-the-Test View on Evaluating Calibration of Classifiers 16 Mar 2022 markus93/fit-on-the-test/Experiments_Pseudo/data_generation.py 0e19229d023ae722 unverified MIT (permissive)
Adaptive Conformal Predictions for Time Series 15 Feb 2022 mzaffran/adaptiveconformalpredictionstimeseries/generation.py 4960f1aafb7e7eb9 unverified MIT (permissive)
Exploiting Independent Instruments: Identification and Distribution Generalization 3 Feb 2022 sorawitj/hsic-x/experiments/distribution_generalization.py b1d93b571231218a ran · fixture could not drive it no licence file found · pointer only
Kernelized Heterogeneous Risk Minimization 24 Oct 2021 ljsthu/kernelized-hrm/KernelHRM_sim1.py 3b4fd708358d370f ran · our draft was wrong fingerprinted no licence file found · pointer only
Kernelized Heterogeneous Risk Minimization 24 Oct 2021 ljsthu/kernelized-hrm/KernelHRM_sim1.py 08d53c1a25fc4fe1 unverified no licence file found · pointer only
On the Surrogate Gap between Contrastive and Supervised Losses 6 Oct 2021 nzw0301/gap-contrastive-and-supervised-losses/code/toy_contrastive.py b8e5ac2c9d6cec4f unverified MIT (permissive)
OVERT: An Algorithm for Safety Verification of Neural Network Control Policies for Nonlinear Systems 3 Aug 2021 sisl/OVERTVerify.jl/nnet_files/jmlr/generate_smaller_networks_tora.py b1fd22ccb6c1486b unverified MIT (permissive)
Metadata Normalization 19 Apr 2021 mlu355/MetadataNorm/utils.py ebaf3acfda2bdb11 unverified MIT (permissive)
Counterexample-Guided Learning of Monotonic Neural Networks 16 Jun 2020 AishwaryaSivaraman/COMET/src/ModelCalls.py 6d081ded071feb48 unverified MIT (permissive)
Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML 30 Sep 2019 KaidiXu/ZO-minmax/Main_poison_attack.py 4ef4cc5639e0d3c7 ran · our draft was wrong no licence file found · pointer only
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method 26 Jul 2019 LinLabNEU/Blackbox_ADMM/test_attack_mnist.py acc00f20a6a4cdc6 ran · our draft was wrong no licence file found · pointer only
Neural ODEs as the Deep Limit of ResNets with constant weights 28 Jun 2019 BennyAvelin/DeepLimitNeuralODE/Annulus_crossval.py cd9985cdef068208 ran · our draft was wrong fingerprinted GPL-3.0 (copyleft) · pointer only
Contrastive Variational Autoencoder Enhances Salient Features 12 Feb 2019 abidlabs/contrastive_vae/vae_utils.py 5cd43143265506a1 unverified MIT (permissive)
Structured Adversarial Attack: Towards General Implementation and Better Interpretability 5 Aug 2018 KaidiXu/StrAttack/test_attack_iclr.py 8da19e9d83604707 unverified no licence file found · pointer only
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks 30 May 2018 IBM/Autozoom-Attack/Utils.py f8fb91c06db9efe1 unverified Apache-2.0 (permissive)
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization 28 May 2018 nesl/adversarial_genattack/utils.py bb5e83c39bdec690 unverified MIT (permissive)
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector 16 Apr 2018 AishrithRao/robust-physical-attack/shapeshifter2d.py 76947627228fb26a unverified BSD-3-Clause recorded; this copy not marked cleared · pointer only
Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation 10 Apr 2018 vitrioil/Speech-Separation/src/analysis/dim_reduce_spectrogram.py 13787efe735dc7b8 unverified MIT (permissive)
Attention, Learn to Solve Routing Problems! 22 Mar 2018 Rintarooo/VRP_DRL_MHA/PyTorch/data.py a58fa4a05eb041d8 unverified MIT (permissive)
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives 21 Feb 2018 IBM/Contrastive-Explanation-Method/Utils.py f8fb91c06db9efe1 unverified Apache-2.0 (permissive)
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples 13 Sep 2017 IBM/EAD-Attack/test_attack.py 455253112a78ff1e unverified licence not identified · pointer only
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models 14 Aug 2017 IBM/ZOO-Attack/test_all.py 3abcf522eaf4f685 ran · our draft was wrong Apache-2.0 (permissive)
Towards Evaluating the Robustness of Neural Networks 16 Aug 2016 Bhushan-Jagtap-2013/Adversarial_Attack_on_RNN/test_attack.py ae7a589f65750d71 ran · our draft was wrong BSD-2-Clause (permissive)
Towards Evaluating the Robustness of Neural Networks 16 Aug 2016 carlini/nn_robust_attacks/test_attack.py 33c3e5273c448151 ran · our draft was wrong BSD-2-Clause (permissive)
Crafting Adversarial Input Sequences for Recurrent Neural Networks 28 Apr 2016 identical code first harvested elsewhere ae7a589f65750d71 ran · our draft was wrong licence of this copy not recorded
Recurrent Gaussian Processes 20 Nov 2015 zhenwendai/RGP/testing/minibatch_tests.py 813d2048970679c9 unverified BSD-3-Clause (permissive)
Bayesian Online Changepoint Detection 19 Oct 2007 gwgundersen/bocd/bocd.py a3e839f4e90f8279 ran · our draft was wrong fingerprinted BSD-3-Clause (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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