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mmd

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

mmd appears in the code Syntology harvested for 21 papers, as 19 distinct code bodies found in 21 places (a place is one code body under one paper). At least one of them ran in 8 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 mmd 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 7 of the 19 distinct code bodies named mmd; 12 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
1ran · fixture could not drive it
3ran
12unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 21 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

21 papers shown of 21, newest first; 21 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 3 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
Generative Modeling under Non-Monotone MAR Missingness via Approximate Wasserstein Gradient Flows added by Syntology 2026-04 (from id) yujhml/MIRI-Imputation/src/imputer.py d4d24272a4c0a1b3 ran · fixture could not drive it MIT (permissive)
Multi-Objective Optimization for Synthetic-to-Real Style Transfer added by Syntology 2026-02 (from id) echigot/MOOSS/mooss/cmmd.py 99ac6ca026cab870 unverified MIT (permissive)
Generative Model Inversion Through the Lens of the Manifold Hypothesis added by Syntology 2025-09 (from id) tmlr-group/AlignMI/high_resolution/criteria/mmd_loss.py 931e13e1f2b410bc unverified no licence file found · pointer only
Data subsampling for Poisson regression with pth-root-link 30 Oct 2024 Tim907/poisson-regression/efficient_poisson_regression/metrics.py 3c164ca8797dd680 unverified 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/mmd.py 8d45b931b21286e0 ran no licence file found · pointer only
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models 17 Jun 2024 rezashkv/diffusion_pruning/cmmd-pytorch/distance.py cbf43bceb31b386b ran MIT (permissive)
Adversarial Schrödinger Bridge Matching 23 May 2024 daniil-selikhanovych/asbm/notebooks_utils.py 8314a8186f319b02 ran fingerprinted licence not identified · pointer only
Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy 25 Feb 2024 ZSHsh98/MMD-MP/MMD_calculate.py 93ebe405ab37744d ran · our draft was wrong fingerprinted MIT (permissive)
A Distributional Analogue to the Successor Representation 13 Feb 2024 jessefarebro/distributional-sr/dsm/kernels.py 966cb709a6527c2e ran · our draft was wrong MIT (permissive)
Rethinking FID: Towards a Better Evaluation Metric for Image Generation 30 Nov 2023 sayakpaul/cmmd-pytorch/distance.py cbf43bceb31b386b ran Apache-2.0 (permissive)
Differentiable Multi-Target Causal Bayesian Experimental Design 21 Feb 2023 yannadani/DiffCBED/envs/causal_environment.py 067bb4384d99a74d unverified MIT (permissive)
Modeling Causal Mechanisms with Diffusion Models for Interventional and Counterfactual Queries 2 Feb 2023 tatsu432/BDCM/src/bdcm/infrastructure/mmd.py e1188dd6fec1ecd6 unverified MIT (permissive)
Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework 21 Oct 2022 aidos-lab/orchid/experiments/mmd.py ef5629d6ce56031e unverified MIT (permissive)
$p$-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets 25 Mar 2022 cxan96/efficient-probit-regression/efficient_probit_regression/metrics.py 3c164ca8797dd680 unverified MIT (permissive)
Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources 4 Jan 2022 easezyc/deep-transfer-learning/MUDA/MFSAN/MFSAN_2src/mmd.py 2bc0e2e480b078d3 unverified MIT (permissive)
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness 15 Jun 2021 BenevolentAI/CoMP/comp/nn/loss.py 6af69a37e94494a8 unverified MIT (permissive)
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions 2 Jun 2021 borgwardtlab/ggme/src/metrics/mmd.py b8ddf9e892aa4b13 unverified BSD-3-Clause (permissive)
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models 1 Jul 2020 OATML/ucate/ucate/library/models/tarnet.py 6226c7421bb125b3 unverified Apache-2.0 (permissive)
Bridging the Gap Between $f$-GANs and Wasserstein GANs 22 Oct 2019 ermongroup/f-wgan/synthetic/kl_wgan.py 5b24443b72aa5cc0 ran · honoured contract fingerprinted no licence file found · pointer only
Human Motion Analysis with Deep Metric Learning 30 Jul 2018 dhesenkamp/attentive-lstm/loss.py 36f20b488dfdc730 unverified MIT (permissive)
Gaussian Process Behaviour in Wide Deep Neural Networks 30 Apr 2018 widedeepnetworks/widedeepnetworks/mmd.py b008cca820414f30 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