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reconstruction_loss

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

reconstruction_loss appears in the code Syntology harvested for 14 papers, as 15 distinct code bodies found in 15 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 reconstruction_loss 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 8 of the 15 distinct code bodies named reconstruction_loss; 7 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
0ran · fixture could not drive it
4ran
7unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 15 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

14 papers shown of 14, newest first; 15 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. 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
VISION-SLS: Safe Perception-Based Control from Learned Visual Representations via System Level Synthesis added by Syntology 2026-04 (from id) trustworthyrobotics/VISION-SLS/perception_utils/losses.py 571a87bbf8dc7033 ran MIT (permissive)
MultiST: A Cross-Attention-Based Multimodal Model for Spatial Transcriptomics added by Syntology 2026-01 (from id) LabJunBMI/MultiST/MultiST/MultiST/MultiST_model.py 366bb23fd9f8534d ran · honoured contract fingerprinted no licence file found · pointer only
The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG 10 Feb 2025 IBM/eeg-ieeg-brain-compressor/utils/loss.py 75633d354dc99835 unverified Apache-2.0 (permissive)
Compositional Image Decomposition with Diffusion Models 27 Jun 2024 1Konny/Beta-VAE/solver.py 4865b8d298fd30b3 ran MIT (permissive)
Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and Grouping 28 Sep 2023 ZhengqingUUU/LatentNoiseSegmentation/solver.py 849bb2b9f4368182 ran fingerprinted GPL-3.0 (copyleft) · pointer only
Motif-aware Attribute Masking for Molecular Graph Pre-training 8 Sep 2023 einae-nd/moama-dev/pretrain.py e4fc8364925146e1 ran no licence file found · pointer only
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap 8 Mar 2022 Gorilla-Lab-SCUT/QS3/DefRec.py c79a55191d2c2289 unverified MIT (permissive)
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity 3 Nov 2021 nerdslab/SwapVAE/vae_kits/model.py 807a07d67f9086df ran · our draft was wrong MIT (permissive)
Learning Temporally Causal Latent Processes from General Temporal Data 11 Oct 2021 anonymous-authors-iclr2022-481/leap/ltcl/modules/cond_linear_vae.py cebefb3be2a5a288 unverified MIT (permissive)
Learning Temporally Causal Latent Processes from General Temporal Data 11 Oct 2021 anonymous-authors-iclr2022-481/leap/ltcl/modules/lvae_nonlinear.py 21ac2bba534cbf6a unverified MIT (permissive)
Pseudo-Rehearsal for Continual Learning with Normalizing Flows 5 Jul 2020 ispamm/PRER/continual_ai/cl_strategies/multi_task/prer/PRER.py ad91a710aa97e44c ran · our draft was wrong fingerprinted no licence file found · pointer only
Self-Supervised Learning for Domain Adaptation on Point-Clouds 29 Mar 2020 IdanAchituve/DefRec_and_PCM/DefRec_and_PCM/DefRec.py 9bb234babd1e2e5e unverified no licence file found · pointer only
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences 21 Feb 2020 dsbrown1331/bayesianrex/code/LearnAtariRewardLinear.py cfe0f494b5c6542d ran · our draft was wrong MIT (permissive)
Hamiltonian Generative Networks 30 Sep 2019 CampusAI/Hamiltonian-Generative-Networks/utilities/losses.py d9c3d07bc45f1c13 unverified MIT (permissive)
An Introduction to Variational Autoencoders 6 Jun 2019 pycroscopy/atomai/atomai/losses_metrics/vi_losses.py 0460cf38488e57d7 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".

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