Home › Code › mean_squared_error

mean_squared_error

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

mean_squared_error appears in the code Syntology harvested for 26 papers, as 17 distinct code bodies found in 26 places (a place is one code body under one paper). At least one of them ran in 14 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 mean_squared_error 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 9 of the 17 distinct code bodies named mean_squared_error; 8 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
8ran
8unverified
7fingerprinted

Licence is a property of each copy, so it is counted per place: 8 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

26 papers shown of 26, 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 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
Transfer Learning in Nonparametric Regression with Deep ReLU Networks added by Syntology 2026-08 (from id) RenJump/Twostage-Trans-DNN/src/twostage_transdnn/experiment.py 6ac6040d295a4973 ran fingerprinted MIT (permissive)
Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations added by Syntology 2026-08 (from id) pigofmomo/CLPINN/deepxde/losses.py e2fd023945751163 unverified no licence file found · pointer only
Runtime Analysis of Cartesian Genetic Programming in Evolving Boolean Functions added by Syntology 2026-06 (from id) GPBench/TinyverseGP/src/gp/loss.py 899ed17e7b7dad1b ran fingerprinted GPL-3.0 (copyleft) · pointer only
Counterfactual reasoning: an analysis of in-context emergence 5 Jun 2025 moxmiller/counterfactual-reasoning/src/tasks.py fc94f27a0973e093 ran fingerprinted MIT (permissive)
SpectraFM: Tuning into Stellar Foundation Models 2024-11 (from id) NolanKoblischke/SpectraFM_NeurIPS_FM4Science/model_core/stellarperceptron/nn_utils.py ac32065953e99b32 unverified no licence file found · pointer only
Task Diversity Shortens the ICL Plateau 7 Oct 2024 sehyunkwon/task-diversity-icl/src/continuous_task.py fc94f27a0973e093 ran fingerprinted no licence file found · pointer only
Polynomial Regression as a Task for Understanding In-context Learning Through Finetuning and Alignment 27 Jul 2024 dtsip/in-context-learning/src/tasks.py fc94f27a0973e093 ran fingerprinted MIT (permissive)
Estimating Probability Densities with Transformer and Denoising Diffusion 22 Jul 2024 henrysky/stars_foundation_diffusion/stellarperceptron/nn_utils.py ac32065953e99b32 unverified MIT (permissive)
Physics-Informed Learning of Characteristic Trajectories for Smoke Reconstruction 12 Jul 2024 19reborn/pict_smoke/src/utils/loss_utils.py ad51bce5b22b7fe9 ran fingerprinted no licence file found · pointer only
Exploring the Robustness of In-Context Learning with Noisy Labels 28 Apr 2024 InezYu0928/in-context-learning/src/tasks.py fc94f27a0973e093 ran fingerprinted MIT (permissive)
Molecular relaxation by reverse diffusion with time step prediction 16 Apr 2024 khaledkah/morered/src/morered/optimization/losses.py 0bd9667b018ce4f7 ran MIT (permissive)
Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning 16 Apr 2024 kylehkhsu/tripod/disentangle/losses/image.py 1d5c25cbe10e2ded ran MIT (permissive)
PINNACLE: PINN Adaptive ColLocation and Experimental points selection 11 Apr 2024 apivich-h/pinnacle/pinnacle_code/deepxde_al_patch/deepxde/losses.py e2fd023945751163 unverified no licence file found · pointer only
Preventing Model Collapse in Gaussian Process Latent Variable Models 2 Apr 2024 zhidilin/advisedGPLVM/metrics.py f7a8ce37975a7551 ran fingerprinted no licence file found · pointer only
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks 6 Feb 2024 krafton-ai/mambaformer-icl/src/tasks.py fc94f27a0973e093 ran fingerprinted Apache-2.0 (permissive)
Energy-based Potential Games for Joint Motion Forecasting and Control 4 Dec 2023 rst-tu-dortmund/diff_epo_planner/source_code/model/metrics.py f9dc71f670ecc276 ran fingerprinted BSD-3-Clause (permissive)
Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression 26 Oct 2023 DeqingFu/transformers-icl-second-order/src/tasks.py fc94f27a0973e093 ran fingerprinted no licence file found · pointer only
Towards an astronomical foundation model for stars with a Transformer-based model 2023-08 (from id) henrysky/astronn_stars_foundation/stellarperceptron/nn_utils.py ac32065953e99b32 unverified MIT (permissive)
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs 15 Jun 2023 i207m/pinnacle/deepxde/losses.py e2fd023945751163 unverified MIT (permissive)
End-to-end Differentiable Clustering with Associative Memories 5 Jun 2023 bsaha205/clam/plot_gaussian.py b0bcf4780fb72330 unverified MIT (permissive)
Heteroscedastic Temporal Variational Autoencoder For Irregular Time Series 23 Jul 2021 reml-lab/hetvae/src/vae_models.py d1afa8b9e642d738 ran · honoured contract fingerprinted MIT (permissive)
StyTr$^2$: Image Style Transfer with Transformers 30 May 2021 DarshanDeshpande/research-paper-implementations/tensorflow/stytr2/utils/utils.py c1720b3c750926d3 unverified MIT (permissive)
Finding Your (3D) Center: 3D Object Detection Using a Learned Loss 6 Apr 2020 dgriffiths3/finding-your-center/utils/losses.py 90544be04b46200a unverified MIT (permissive)
Tree-AMP: Compositional Inference with Tree Approximate Message Passing 3 Apr 2020 sphinxteam/tramp/tramp/algos/metrics.py 6fa3577eafb07bed unverified MIT (permissive)
A coupled autoencoder approach for multi-modal analysis of cell types 6 Nov 2019 AllenInstitute/coupledAE/coupling_functions.py 5f83597c211ea13d unverified MIT (permissive)
DeepXDE: A deep learning library for solving differential equations 10 Jul 2019 PhysicsTeacher13/Deepxde/deepxde/losses.py 7aef1f09fa638129 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