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reparametrize

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

reparametrize appears in the code Syntology harvested for 22 papers, as 13 distinct code bodies found in 22 places (a place is one code body under one paper). At least one of them ran in 15 of the papers; 6 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 reparametrize 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 13 distinct code bodies named reparametrize; 6 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

2ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
2ran · fixture could not drive it
0ran
6unverified
6fingerprinted

Licence is a property of each copy, so it is counted per place: 5 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 2 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
When Priors Backfire: On the Vulnerability of Unlearnable Examples to Pretraining added by Syntology 2026-03 (from id) zhli-cs/BAIT/models/ResNet.py 1f32c1e82211a822 unverified Apache-2.0 (permissive)
Disentanglement by means of action-induced representations added by Syntology 2026-02 (from id) gorkamunoz/air/air/models.py 926434dc272944d2 ran · honoured contract fingerprinted no licence file found · pointer only
TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation 19 Sep 2024 liyaxuanliyaxuan/TinyVLA/policy_heads/models/detr_vae.py 59dd02364e4bbf60 unverified MIT (permissive)
Causal Temporal Representation Learning with Nonstationary Sparse Transition 5 Sep 2024 xiangchensong/ctrlns/models/utils.py 3188157d3b1c95e6 ran · our draft was wrong fingerprinted no licence file found · pointer only
Compositional Image Decomposition with Diffusion Models 27 Jun 2024 1Konny/Beta-VAE/model.py 863fc64cd51264f0 ran · honoured contract fingerprinted MIT (permissive)
CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process 25 Jan 2024 sanshuiii/CaRiNG/caring/modules/components/beta.py 863fc64cd51264f0 ran · honoured contract fingerprinted MIT (permissive)
XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies 6 Dec 2023 nv-tlabs/XCube/xcube/models/autoencoder.py 863fc64cd51264f0 ran · honoured contract fingerprinted no licence file found · pointer only
Temporally Disentangled Representation Learning under Unknown Nonstationarity 28 Oct 2023 xiangchensong/nctrl/models/simulation.py 3188157d3b1c95e6 ran · our draft was wrong fingerprinted MIT (permissive)
Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and Grouping 28 Sep 2023 ZhengqingUUU/LatentNoiseSegmentation/models.py 863fc64cd51264f0 ran · honoured contract fingerprinted GPL-3.0 (copyleft) · pointer only
Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment 30 Jul 2023 zjukg/umaea/UMAEA/model/Tool_model.py 863fc64cd51264f0 ran · honoured contract fingerprinted MIT (permissive)
DaRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptation 30 May 2023 KU-CVLAB/DaRF/plenoxels/models/discriminator.py d3daffe86c3a152c unverified MIT (permissive)
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning 12 Jan 2023 CausalTriplet/causaltriplet/model/slotpair.py 863fc64cd51264f0 ran · honoured contract fingerprinted Apache-2.0 (permissive)
Homomorphism Autoencoder -- Learning Group Structured Representations from Observed Transitions 25 Jul 2022 hamzakeurti/homomorphismvae/displacementae/networks/variational_utils.py 057e9ffecaa961b8 unverified Apache-2.0 (permissive)
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image 2 Apr 2022 VITA-Group/SinNeRF/models/discriminator.py d3daffe86c3a152c unverified MIT (permissive)
Point Scene Understanding via Disentangled Instance Mesh Reconstruction 31 Mar 2022 ashawkey/dimr/model/bsp.py e8fa8332e3980a60 unverified Apache-2.0 (permissive)
MotionAug: Augmentation with Physical Correction for Human Motion Prediction 17 Mar 2022 meaten/MotionAug/motionAE/src/models.py 0dac1f8de6997327 ran · our draft was wrong fingerprinted MIT (permissive)
Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference 1 Oct 2021 francois-rozet/amnre/amnre/models.py ee91d0d3814c9f6e ran · our draft was wrong MIT (permissive)
Understanding Instance-based Interpretability of Variational Auto-Encoders 29 May 2021 fengnima/vae-tracin-pytorch/tracin.py 863fc64cd51264f0 ran · honoured contract fingerprinted MIT (permissive)
Information-Theoretic Probing with Minimum Description Length 27 Mar 2020 lena-voita/description-length-probing/control_tasks/control_tasks/probe.py 2466d861eece0826 ran · fixture could not drive it fingerprinted no licence file found · pointer only
From Variational to Deterministic Autoencoders 29 Mar 2019 astrid-merckling/SRL4RL/SRL4RL/ae/utils.py 5267cf098d87aee9 unverified MIT (permissive)
Bayesian Compression for Deep Learning 24 May 2017 KarenUllrich/Tutorial_BayesianCompressionForDL/BayesianLayers.py 6b6fa2df724bafc7 ran · fixture could not drive it fingerprinted MIT (permissive)
arXiv:2023.findings-emnlp.879 mainlp/subspace-chronicles/models/bayesian.py 2466d861eece0826 ran · fixture could not drive it fingerprinted 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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