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mse

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

mse appears in the code Syntology harvested for 78 papers, as 64 distinct code bodies found in 80 places (a place is one code body under one paper). At least one of them ran in 29 of the papers; 17 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 mse 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 25 of the 64 distinct code bodies named mse; 39 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

3ran · honoured contract
3ran · violated contract
3ran · our draft was wrong
1ran · fixture could not drive it
15ran
39unverified
17fingerprinted

Licence is a property of each copy, so it is counted per place: 23 of the 80 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

78 papers shown of 78, newest first; 80 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 10 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
A Theory of Finite-Noise Optima and Generalization in Quantum Machine Learning added by Syntology 2026-08 (from id) dongsnaq/Finite-Noise-Generalization-QML/code/evaluate_four_qubit_checkpoint.py e06f503cace0223b ran fingerprinted MIT (permissive)
An Empirical Benchmark of Deep Time-Series Models for Smart Meter Energy Forecasting added by Syntology 2026-08 (from id) behnazkavoosi/Energy-Time-Series-Library/compute_metrics.py 2b6fd75c6acd97d9 ran fingerprinted MIT (permissive)
Sample Complexity of Scientific Discovery: PAC Learnability of Compositional Function Trees added by Syntology 2026-06 (from id) suayptalha/scientific-pac/run_experiments.py 9e5d916d0d4b1e82 ran Apache-2.0 (permissive)
TS-Fault: Benchmarking Time Series Forecasters Against Structural Faults added by Syntology 2026-06 (from id) Ray-zyy/TS-Fault/eval_foundation_phase1.py 2b6fd75c6acd97d9 ran fingerprinted no licence file found · pointer only
Information-Theoretic Optimization for Task-Adapted Compressed Sensing Magnetic Resonance Imaging added by Syntology 2026-04 (from id) tianweiy/SeqMRI/activemri/baselines/loupe_codes/evaluate.py f8ee64e99d4c3f8e unverified MIT (permissive)
Compression as Adaptation: Implicit Visual Representation with Diffusion Foundation Models added by Syntology 2026-03 (from id) hmkx/NVRC/losses.py 1a1a61c85538d493 unverified MIT (permissive)
Video-based Music Generation added by Syntology 2026-02 (from id) serkansulun/deep-music-enhancer/src/utils.py 0f4b88ac326d4d6e unverified licence not identified · pointer only
Rethinking Recurrent Neural Networks for Time Series Forecasting: A Reinforced Recurrent Encoder with Prediction-Oriented Proximal Policy Optimization added by Syntology 2026-01 (from id) Laixin233/-Reinforced-Encoder/task/metric.py 87cd593720824374 unverified no licence file found · pointer only
Self-Supervised Dynamical System Representations for Physiological Time-Series added by Syntology 2025-12 (from id) yuqinie98/PatchTST/PatchTST_self_supervised/src/metrics.py 5ef21ce9effc9300 unverified Apache-2.0 (permissive)
GSFixer: Improving 3D Gaussian Splatting with Reference-Guided Video Diffusion Priors added by Syntology 13 Aug 2025 GVCLab/GSFixer/Reconstruction/gsfixer/cogvideo/image_utils.py 6e14e874e7f40344 unverified no licence file found · pointer only
Nonlinear dynamics of localization in neural receptive fields 28 Jan 2025 leonlufkin/localization/localization/experiments/autoencode.py da25ee551fb3f3c2 ran · violated contract fingerprinted no licence file found · pointer only
GSurf: 3D Reconstruction via Signed Distance Fields with Direct Gaussian Supervision 24 Nov 2024 xubaixinxbx/gsurf/utils/image_utils.py 6e14e874e7f40344 unverified no licence file found · pointer only
SplatFormer: Point Transformer for Robust 3D Gaussian Splatting 10 Nov 2024 ChenYutongTHU/SplatFormer/utils/metrics.py 6e14e874e7f40344 unverified no licence file found · pointer only
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer 4 Nov 2024 microsoft/ProbTS/probts/utils/metrics.py 02b65b093a712e17 unverified MIT (permissive)
pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization 1 Nov 2024 matt-bendel/pcaGAN/evaluation_scripts/metrics.py 70382aaffa12c6ae unverified no licence file found · pointer only
pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization 1 Nov 2024 matt-bendel/pcaGAN/fastmri/evaluate.py 5718f716f3ed5309 unverified no licence file found · pointer only
Metalic: Meta-Learning In-Context with Protein Language Models 10 Oct 2024 instadeepai/metalic/meta/tasks/metrics.py d884cc8e472e6f1e ran fingerprinted Apache-2.0 (permissive)
Metalic: Meta-Learning In-Context with Protein Language Models 10 Oct 2024 instadeepai/metalic/meta/models/losses.py d1dcb1c8bd375716 unverified Apache-2.0 (permissive)
Decoder ensembling for learned latent geometries 14 Aug 2024 mustass/ensertainty/src/ensertainty/training/losses.py 378971fda6e4fc8f ran fingerprinted licence not identified · pointer only
Temporal Feature Matters: A Framework for Diffusion Model Quantization 28 Jul 2024 modeltc/tfmq-dm/quant/quant_layer.py 180ea8ce084d4e63 ran Apache-2.0 (permissive)
xLSTMTime : Long-term Time Series Forecasting With xLSTM 14 Jul 2024 muslehal/xLSTMTime/src/metrics.py 5ef21ce9effc9300 unverified MIT (permissive)
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy 10 Jul 2024 brownirl/lambda_discrepancy/lamb/utils/loss.py b0113ccd72a50376 ran Apache-2.0 (permissive)
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models 5 Jun 2024 layer6ai-labs/flipd/lid/evaluation/lid_evaluation.py 17b642db91f20cc2 ran · violated contract fingerprinted no licence file found · pointer only
When does compositional structure yield compositional generalization? A kernel theory 26 May 2024 sflippl/compositional-generalization/simple_compositional_tasks/models/kernel_machines.py 577f80aee94bb229 ran fingerprinted no licence file found · pointer only
Finding Visual Task Vectors 8 Apr 2024 alhojel/visual_task_vectors/evaluate/collect_attention_heads.py abe146eee6ac945e unverified no licence file found · pointer only
Model-based Reinforcement Learning for Parameterized Action Spaces 3 Apr 2024 valarzz/dlpa/utils.py 8d8f088c9186b5d4 ran · fixture could not drive it fingerprinted no licence file found · pointer only
CG-SLAM: Efficient Dense RGB-D SLAM in a Consistent Uncertainty-aware 3D Gaussian Field 24 Mar 2024 hjr37/CG-SLAM/gaussian_utils/image_utils.py 6e14e874e7f40344 unverified Apache-2.0 (permissive)
A path-dependent PDE solver based on signature kernels 2024-03 (from id) crispitagorico/sigppde/utils.py 63ce428d5d71c27c ran fingerprinted MIT (permissive)
NoiseCollage: A Layout-Aware Text-to-Image Diffusion Model Based on Noise Cropping and Merging 6 Mar 2024 univ-esuty/noisecollage/evaluation/model.py edf5d54bc7a50c95 unverified no licence file found · pointer only
Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting 8 Jan 2024 pengxin-guo/adcsd/libcity/evaluator/eval_funcs.py a57096075ed5bfb9 ran fingerprinted no licence file found · pointer only
Splatter Image: Ultra-Fast Single-View 3D Reconstruction 20 Dec 2023 szymanowiczs/splatter-image/utils/image_utils.py 6e14e874e7f40344 unverified BSD-3-Clause (permissive)
Low-latency Space-time Supersampling for Real-time Rendering 18 Dec 2023 ryanhe312/STSSNet-AAAI2024/utils/metrics.py 950a7e63666ebcd1 ran fingerprinted MIT (permissive)
PINNs-TF2: Fast and User-Friendly Physics-Informed Neural Networks in TensorFlow V2 2023-11 (from id) rezaakb/pinns-tf2/pinnstf2/models/pinn_module.py 6f9e4d28b5a00599 ran · honoured contract BSD-3-Clause (permissive)
Multi Time Scale World Models 27 Oct 2023 ALRhub/MTS3/utils/Losses.py 278f1cd19d7744ca ran fingerprinted no licence file found · pointer only
TD-MPC2: Scalable, Robust World Models for Continuous Control 25 Oct 2023 nicklashansen/tdmpc/src/algorithm/tdmpc.py 8d8f088c9186b5d4 ran · fixture could not drive it fingerprinted MIT (permissive)
NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions 27 Sep 2023 oppo-us-research/NeuRBF/util_metric.py cfbc1c66cbef55ea ran MIT (permissive)
Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models 12 Sep 2023 z-fabian/flash-diffusion/data_utils/metrics.py 0e2aa355c1e01fce ran fingerprinted no licence file found · pointer only
HEAL-SWIN: A Vision Transformer On The Sphere 14 Jul 2023 janegerken/heal-swin/heal_swin/training/loss_depth_regression.py 920963401bbcecee ran MIT (permissive)
Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression 26 Jun 2023 mansheej/icl-task-diversity/icl/evaluate.py 662cd4052f4fb4cd unverified Apache-2.0 (permissive)
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time 7 Jun 2023 toonvds/tesar-cde/src/utils/losses.py 58188f1c56c152d6 unverified MIT (permissive)
Representation Learning via Manifold Flattening and Reconstruction 2 May 2023 michael-psenka/manifold-linearization/experiments-paper/reconstruction_comparison.py efe784867ef4aeeb unverified MIT (permissive)
LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction 27 Apr 2023 libcity/bigscity-libcity/libcity/evaluator/eval_funcs.py 96dff086a8a8530c unverified Apache-2.0 (permissive)
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations 12 Dec 2022 facebookresearch/modem/algorithm/helper.py 8d8f088c9186b5d4 ran · fixture could not drive it fingerprinted MIT recorded; this copy not marked cleared · pointer only
Musika! Fast Infinite Waveform Music Generation 18 Aug 2022 marcoppasini/musika/losses.py 584e0124c4b58901 unverified MIT (permissive)
Rewriting Geometric Rules of a GAN 28 Jul 2022 peterwang512/ganwarping/lib/quality_assess.py f96cfe5e20ab9852 unverified MIT (permissive)
Decomposing NeRF for Editing via Feature Field Distillation 31 May 2022 kwea123/ngp_pl/metrics.py c832923b546e9fb3 unverified MIT (permissive)
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image 2 Apr 2022 VITA-Group/SinNeRF/metrics.py c832923b546e9fb3 unverified MIT (permissive)
DFNet: Enhance Absolute Pose Regression with Direct Feature Matching 1 Apr 2022 activevisionlab/dfnet/script/models/metrics.py c832923b546e9fb3 unverified MIT (permissive)
MINER: Multiscale Implicit Neural Representations 7 Feb 2022 kwea123/MINER_pl/metrics.py c065caea05d186cd unverified MIT (permissive)
Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization 1 Feb 2022 mselezniova/ntk_beyond_limit/ntk_train_dynamics.py 8d643619024dd1d7 ran · our draft was wrong no licence file found · pointer only
GREED: A Neural Framework for Learning Graph Distance Functions 24 Dec 2021 idea-iitd/greed/neuro/metrics.py 706a15018478eff5 unverified MIT (permissive)
Learning Neural Light Fields with Ray-Space Embedding Networks 2 Dec 2021 facebookresearch/neural-light-fields/metrics.py c832923b546e9fb3 unverified MIT recorded; this copy not marked cleared · pointer only
Long-Range Transformers for Dynamic Spatiotemporal Forecasting 24 Sep 2021 qdata/spacetimeformer/spacetimeformer/eval_stats.py 67d323a0c9f620a9 unverified MIT (permissive)
Federated Multi-Task Learning under a Mixture of Distributions 23 Aug 2021 omarfoq/FedEM/utils/metrics.py e5d7e349519111ef unverified Apache-2.0 (permissive)
HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields 24 Jun 2021 songrise/HyperNeRF-torch/metrics.py c832923b546e9fb3 unverified MIT (permissive)
An Experimental Review on Deep Learning Architectures for Time Series Forecasting 22 Mar 2021 pedrolarben/TimeSeriesForecasting-DeepLearning/experiments/metrics.py 1f58b5eb5d9d6a28 unverified MIT (permissive)
Experimental design for MRI by greedy policy search 30 Oct 2020 Timsey/pg_mri/src/reconstruction_model/reconstruction_model_utils.py f8ee64e99d4c3f8e unverified MIT (permissive)
Graph Neural Networks for an Accurate and Interpretable Prediction of the Properties of Polycrystalline Materials 2020-10 (from id) mehmetfdemirel/PolycrystalGraph/util.py bbe34e6b22b47916 unverified MIT (permissive)
Physical invariance in neural networks for subgrid-scale scalar flux modeling 9 Oct 2020 hrkz/SubgridTransportNN/src/evals.py a10711555d371e6b unverified MIT (permissive)
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates 24 Aug 2020 Lingkai-Kong/SDE-Net/YearMSD/SDE_regression.py 79bd575f8de311d9 ran · honoured contract fingerprinted Apache-2.0 (permissive)
Deep learning the spanwise-averaged Navier--Stokes equations 2020-08 (from id) b-fg/SANSpy/sanspy/losses.py a2f9dcde8c8a8ae5 unverified MIT (permissive)
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections 5 Aug 2020 kwea123/nerf_pl/metrics.py c832923b546e9fb3 unverified MIT (permissive)
A Class of Algorithms for General Instrumental Variable Models 11 Jun 2020 nikikilbertus/general-iv-models/src/kiv.py 202bb2cafdd7e03f ran · violated contract fingerprinted MIT (permissive)
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey 21 Apr 2020 potosnakw/neuralforecast/neuralforecast/losses/numpy.py 9edcb6c054647729 unverified Apache-2.0 (permissive)
Big Transfer (BiT): General Visual Representation Learning 24 Dec 2019 batsresearch/taglets/taglets/labelmodel/amcl_helper.py 4b28a291d70a1b4b unverified Apache-2.0 (permissive)
$Σ$-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction 18 Dec 2019 khammernik/sigmanet/reconstruction/common/evaluate.py f8ee64e99d4c3f8e unverified MIT (permissive)
A coupled autoencoder approach for multi-modal analysis of cell types 6 Nov 2019 AllenInstitute/coupledAE/coupling_functions.py 931c8a84f9b0de00 unverified MIT (permissive)
Combining Generative and Discriminative Models for Hybrid Inference 6 Jun 2019 vgsatorras/hybrid-inference/evaluation.py 1d0741e1c7376a3e unverified MIT (permissive)
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting 24 May 2019 MLD3/Deep-Residual-Time-Series-Forecasting/drtf.py f0085a43c76debf6 ran · our draft was wrong fingerprinted no licence file found · pointer only
Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks 15 May 2019 tae898/age-gender/model/loss.py 1dc2c8c98c52e761 unverified Apache-2.0 (permissive)
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference 8 Jan 2019 Neronjust2017/BayesianCNN/metrics.py 6c4f18c203fe16d2 unverified MIT (permissive)
Learning Speaker Representations with Mutual Information 1 Dec 2018 Js-Mim/rl_singing_voice/nn_modules/losses.py b56fa43cfb65baf6 unverified MIT (permissive)
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks 9 Mar 2017 lgcollins/tr-maml/sinusoid/maml.py 44ef1cbe96c1a0d4 ran · our draft was wrong no licence file found · pointer only
Input Convex Neural Networks 22 Sep 2016 locuslab/icnn/completion/icnn_ebundle.py 49b3c2389c985e00 ran · honoured contract fingerprinted Apache-2.0 (permissive)
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network 15 Sep 2016 jason-zl190/sisr/trainer/utils/losses.py 80be2a8c74edf6d9 unverified Apache-2.0 (permissive)
Densely Connected Convolutional Networks 25 Aug 2016 hycis/TensorGraph/tensorgraph/cost.py bd9a2c9a7ed3dff5 unverified Apache-2.0 (permissive)
Image Super-Resolution Using Deep Convolutional Networks 31 Dec 2014 TanakitInt/SRCNN-anime/image-quality-assessment.py 690d75d5003fb9c9 unverified MIT (permissive)
Convolutional Neural Networks for Sentence Classification 25 Aug 2014 piyush2896/CNN-Text-Classifier/nn/losses.py 8197ee6236e68110 unverified MIT (permissive)
ADADELTA: An Adaptive Learning Rate Method 22 Dec 2012 Arko98/Gradient-Descent-Algorithms/Algorithms/Adagrad.py a9abce3860e6e7d8 unverified MIT (permissive)
arXiv:Huang_TFMQ-DM_Temporal_Feature_Maintenance_Quantization_for_Diffusion_Models_CVPR_2024_paper ModelTC/TFMQ-DM/quant/quant_layer.py 180ea8ce084d4e63 ran 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".

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