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mse_loss

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

mse_loss appears in the code Syntology harvested for 73 papers, as 61 distinct code bodies found in 73 places (a place is one code body under one paper). At least one of them ran in 39 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_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 28 of the 61 distinct code bodies named mse_loss; 33 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

4ran · honoured contract
1ran · violated contract
4ran · our draft was wrong
4ran · fixture could not drive it
15ran
33unverified
17fingerprinted

Licence is a property of each copy, so it is counted per place: 22 of the 73 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

73 papers shown of 73, newest first; 73 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 5 papers added by Syntology; 4 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
Proximal basin hopping: global optimization with guarantees added by Syntology 2026-05 (from id) apple/ml-scalefit/src/scalefit/optim.py cc38e9e3e8649735 ran licence not identified · pointer only
GRASP -Graph-Based Anomaly Detection Through Self-Supervised Classification added by Syntology 2026-05 (from id) ubc-provenance/PIDSMaker/pidsmaker/losses.py 96ebabff045fe107 ran Apache-2.0 (permissive)
Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries added by Syntology 2026-04 (from id) NatLabRockies/BatFIT/batfit/model/param_utils/losses.py 22a25d48c7b271f4 unverified BSD-3-Clause (permissive)
Variational Flow Maps: Make Some Noise for One-Step Conditional Generation added by Syntology 2026-03 (from id) abbasmammadov/VFM/loss.py b766939802ffeabc ran · our draft was wrong fingerprinted MIT (permissive)
Variational Autoencoder with Normalizing flow for X-ray spectral fitting added by Syntology 2026-01 (from id) fi-redmen/fspnet-var/fspnetvar/main_VAE.py 8159e31cf9e2b274 unverified MIT (permissive)
Guided Diffusion Sampling on Function Spaces with Applications to PDEs 22 May 2025 neuraloperator/fundps/generation/dps.py 8be214b363325c85 ran · violated contract fingerprinted MIT (permissive)
AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training 22 May 2025 pytorch/torchtitan/torchtitan/components/loss.py 31353f5145945f23 unverified BSD-3-Clause (permissive)
Understanding Optimization in Deep Learning with Central Flows 31 Oct 2024 centralflows/centralflows/src/loss_criterion.py 0ef8c1200f922298 unverified no licence file found · pointer only
bit2bit: 1-bit quanta video reconstruction via self-supervised photon prediction 30 Oct 2024 lyehe/ssunet/src/ssunet/losses.py 11c7c150ee19c19c unverified licence not identified · pointer only
ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation 29 Oct 2024 shenoynikhil/ETFlow/etflow/models/loss.py 0a1255a314f3751e unverified MIT (permissive)
Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems 2 Oct 2024 alejandro-neuro/learning_physics_from_video/src/loss_func.py c4226f0238390646 ran no licence file found · pointer only
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU 26 Aug 2024 zp1481616577/baselines_lsr-igru/18_THGNN/5_model_train_predict.py 34cb04f05ddddabd ran no licence file found · pointer only
Taming the Frequency Factory of Sinusoidal Networks 30 Jul 2024 DianaPat/TUNER/train_siren.py 53bcbe746d9d2821 ran · our draft was wrong MIT (permissive)
Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration 26 Jun 2024 kangliao929/noise-da/models/loss.py 632959a67ae7fdac ran · honoured contract fingerprinted no licence file found · pointer only
CausalFormer: An Interpretable Transformer for Temporal Causal Discovery 24 Jun 2024 lingbai-kong/causalformer/model/loss.py 5c93bdc24368bfe7 ran fingerprinted GPL-3.0 (copyleft) · pointer only
Why Warmup the Learning Rate? Underlying Mechanisms and Improvements 13 Jun 2024 dayal-kalra/why-warmup/vision/mechanisms/utils/loss_utils.py 8294c2b79bb5a70f ran fingerprinted MIT (permissive)
Scaling Laws for Galaxy Images 3 Apr 2024 identical code first harvested elsewhere fa6afbeecc62599a ran · honoured contract fingerprinted licence of this copy not recorded
Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Loss 2 Apr 2024 JaehaKim97/SR4IR/src/losses/common.py baa6a59b3b8fcaba ran fingerprinted no licence file found · pointer only
Reliable Conflictive Multi-View Learning 24 Feb 2024 jiajunsi/RCML/loss_function.py 0bdb94efd7bad456 ran no licence file found · pointer only
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer 19 Dec 2023 google-deepmind/deepmind-research/galaxy_mergers/losses.py b914b7fa073cd865 ran fingerprinted Apache-2.0 (permissive)
Multi-scale Reconstruction of Turbulent Rotating Flows with Generative Diffusion Models 2023-12 (from id) smartturb/palette-turb/models/loss.py 632959a67ae7fdac ran · honoured contract fingerprinted MIT (permissive)
LLM360: Towards Fully Transparent Open-Source LLMs 11 Dec 2023 llm360/analysis360/analysis/unlearning/methods/utils.py 14dfcec18a4f05ab ran fingerprinted Apache-2.0 (permissive)
Learning Time-Invariant Representations for Individual Neurons from Population Dynamics 3 Nov 2023 lumimim/NeuPRINT/loss_function.py 2e91a0aa058296be ran fingerprinted no licence file found · pointer only
TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression 29 Oct 2023 vita-epfl/TIC-TAC/HumanPose/code/loss.py 4231bb1842ed8fa0 ran fingerprinted GPL-3.0 (copyleft) · pointer only
Clairvoyance: A Pipeline Toolkit for Medical Time Series 28 Oct 2023 vanderschaarlab/clairvoyance/utils/model_utils.py 5d4004d12c8a81ae ran fingerprinted GPL-3.0 (copyleft) · pointer only
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias 12 Oct 2023 MaxSobolMark/OOO/OOO_for_calql/jax_utils.py cc35af8b18b7dc58 ran fingerprinted no licence file found · pointer only
Boosting Black-box Attack to Deep Neural Networks with Conditional Diffusion Models 11 Oct 2023 ryliu68/CDMA/models/loss.py 632959a67ae7fdac ran · honoured contract fingerprinted MIT (permissive)
Galaxy Zoo DESI: Detailed Morphology Measurements for 8.7M Galaxies in the DESI Legacy Imaging Surveys 2023-09 (from id) identical code first harvested elsewhere fa6afbeecc62599a ran · honoured contract fingerprinted licence of this copy not recorded
arXiv:2309.10790 2023-09 (from id) csmile-1006/ARP/arp_dt/ARPDT.py cc35af8b18b7dc58 ran fingerprinted MIT (permissive)
Single-User Injection for Invisible Shilling Attack against Recommender Systems 21 Aug 2023 kdegroup/sui-attack/models/recommender/WMF.py e69b19a3945839ac ran fingerprinted MIT (permissive)
DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images 8 Aug 2023 xavierjiezou/diffcr/models/loss.py 632959a67ae7fdac ran · honoured contract fingerprinted no licence file found · pointer only
Highly Accurate Prediction of NMR Chemical Shifts from Low-Level Quantum Mechanics Calculations Using Machine Learning 2023-06 (from id) thglab/ishiftml/scripts/active_learning/run_attention_aev.py 1452739b457d7e8f ran · fixture could not drive it licence not identified · pointer only
High-Fidelity Audio Compression with Improved RVQGAN 11 Jun 2023 DBraun/DAC-JAX/src/dac_jax/nn/quantize.py dff46a2b65e582bd ran · fixture could not drive it MIT (permissive)
A unified framework for machine learning collective variables for enhanced sampling simulations: $\texttt{mlcolvar}$ 2023-05 (from id) luigibonati/mlcolvar/mlcolvar/core/loss/mse.py d3dc6cad300a0ac1 unverified MIT (permissive)
GSURE-Based Diffusion Model Training with Corrupted Data 22 May 2023 bahjat-kawar/gsure-diffusion/generate.py 632959a67ae7fdac ran · honoured contract fingerprinted no licence file found · pointer only
Toward Unsupervised 3D Point Cloud Anomaly Detection using Variational Autoencoder 7 Apr 2023 llien30/point_cloud_anomaly_detection/libs/loss.py 3ea6f5d1d3d84bb4 unverified MIT (permissive)
Phase diagram of early training dynamics in deep neural networks: effect of the learning rate, depth, and width 23 Feb 2023 dayal-kalra/early-training/train_mse_utils.py 6ba7e3ed6f5edd4c unverified MIT (permissive)
QARV: Quantization-Aware ResNet VAE for Lossy Image Compression 16 Feb 2023 duanzhiihao/lossy-vae/lvae/models/qarv/model.py 32c3bf121730c812 ran · fixture could not drive it no licence file found · pointer only
INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging 6 Feb 2023 Aminsheykh98/INCREASE-pytorch/utils.py f78a0512400bee8b unverified Unlicense (permissive)
Differentially Private Adaptive Optimization with Delayed Preconditioners 1 Dec 2022 kenziyuliu/dp2/trainers/dp2_adagrad.py f320dea1d5541ada ran · fixture could not drive it Apache-2.0 (permissive)
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks 1 Nov 2022 royalskye/atcl/utils_mcl_loss.py 8fe8574aa87205c2 ran · our draft was wrong fingerprinted MIT (permissive)
Instruction-Following Agents with Multimodal Transformer 24 Oct 2022 lhao499/instructrl/instructrl/model.py cc35af8b18b7dc58 ran fingerprinted MIT (permissive)
Mutual Information Regularized Offline Reinforcement Learning 14 Oct 2022 sail-sg/MISA/utilities/jax_utils.py cc35af8b18b7dc58 ran fingerprinted MIT (permissive)
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning 31 May 2022 BerenMillidge/infinitesimal_inference_limit/utils.py ebe0a5b3f1d6acea ran · honoured contract fingerprinted MIT (permissive)
Transformer for Partial Differential Equations' Operator Learning 26 May 2022 BaratiLab/OFormer/BVP/train_magneto.py 4762fef4996d2a13 unverified MIT (permissive)
Faster Deep Reinforcement Learning with Slower Online Network 10 Dec 2021 amazon-research/fast-rl-with-slow-updates/dopamine/jax/losses.py 1c9e08f4b6f3cca7 unverified Apache-2.0 (permissive)
Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash 12 Nov 2021 ml-research/Learning-to-Break-Deep-Perceptual-Hashing/losses/mse_loss.py 74e2bf38733ce1eb unverified MIT (permissive)
Practical Galaxy Morphology Tools from Deep Supervised Representation Learning 25 Oct 2021 identical code first harvested elsewhere fa6afbeecc62599a ran · honoured contract fingerprinted licence of this copy not recorded
3D Pose Transfer with Correspondence Learning and Mesh Refinement 30 Sep 2021 chaoyuesong/3d-corenet/util/util.py 14bc9ece05320ff9 unverified MIT (permissive)
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme 28 Sep 2021 trinhtuanvubk/diff-vc/model/utils.py e34c9a8aed8fe01a unverified MIT recorded; this copy not marked cleared · pointer only
What can linearized neural networks actually say about generalization? 12 Jun 2021 gortizji/linearized-networks/utils/loss.py 82c402b4b47c433b unverified MIT (permissive)
All you need are a few pixels: semantic segmentation with PixelPick 13 Apr 2021 yazdaniamir38/madbal/utils/losses.py b68a8578f8b27ceb unverified MIT (permissive)
Wireframe-Based UI Design Search Through Image Autoencoder 2021-03 (from id) chenjshnn/WAE/code/Model_AE2.py cbaa9dedaf86a048 ran · honoured contract fingerprinted Apache-2.0 (permissive)
Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies 16 Feb 2021 mwalmsley/zoobot/zoobot/pytorch/training/finetune.py fa6afbeecc62599a ran · honoured contract fingerprinted GPL-3.0 (copyleft) · pointer only
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19 23 Sep 2020 AdityaLab/CALI-Net/EpiDeepCN.py a9112f31ad8528f2 unverified MIT (permissive)
Anomaly Detection in Medical Imaging with Deep Perceptual Autoencoders 23 Jun 2020 ninatu/anomaly_detection/anomaly_detection/dpa/losses.py 0c6060d9692f443f unverified Apache-2.0 (permissive)
Conservative Q-Learning for Offline Reinforcement Learning 8 Jun 2020 young-geng/jaxcql/JaxCQL/jax_utils.py cc35af8b18b7dc58 ran fingerprinted MIT (permissive)
Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution 3 May 2020 RaoUmer/SRResCGAN/training_codes/modules/l2proj.py b796a109116d0d4e unverified MIT (permissive)
Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms 22 Apr 2020 deepskies/DeeplyUncertain-Public/models/cd.py 2096dc49ec86fdfc unverified Apache-2.0 (permissive)
TAPER: Time-Aware Patient EHR Representation 11 Aug 2019 sajaddarabi/TAPER/model/loss.py 523c0753413864a2 unverified MIT (permissive)
Evaluating Protein Transfer Learning with TAPE 19 Jun 2019 googleinterns/protein-embedding-retrieval/contextual_lenses/loss_fns.py eafa5a8ead83133c unverified Apache-2.0 (permissive)
DeepMoD: Deep learning for Model Discovery in noisy data 20 Apr 2019 PhIMaL/DeePyMoD_torch/src/deepymod_torch/losses.py f0384fcc975040e9 unverified MIT (permissive)
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders 17 Jan 2019 omiethescientist/HyperbolicDeepLearning/HVAE/Loss.py 09149c204a657b8c unverified MIT (permissive)
Learning Compressed Transforms with Low Displacement Rank 4 Oct 2018 HazyResearch/structured-nets/pytorch/utils.py 77458eee7fb25de2 unverified Apache-2.0 (permissive)
Iterative Joint Image Demosaicking and Denoising using a Residual Denoising Network 16 Jul 2018 cig-skoltech/deep_demosaick/l2proj.py b796a109116d0d4e unverified MIT (permissive)
Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders 27 Apr 2018 ananyahjha93/challenges-in-disentangling/utils.py 59048fa620bc0bfb unverified MIT (permissive)
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning 14 Nov 2017 SenWu/emmental-tutorials/glue/glue_tasks.py 7807bb921c12897c unverified MIT (permissive)
Neural Discrete Representation Learning 2 Nov 2017 yjlolo/vae-audio/model/loss.py 3b8e8d5673b757b1 unverified MIT (permissive)
Exponential Machines 12 May 2016 Bihaqo/exp-machines/src/objectives/mse.py 0d600fb27ccb9e14 unverified MIT (permissive)
Continuous control with deep reinforcement learning 9 Sep 2015 Souphis/mobile_robot_rl/mobile_robot_rl/agents/sac.py d08ac0b87604485e ran · our draft was wrong MIT (permissive)
arXiv:openreview_giCCyIbMHc xxyufeng/Stability-and-Generalization-of-ASGD/dataset_and_model.py 1f5a24b050fc82ed unverified MIT (permissive)
arXiv:aaai_25883 alcorreia/cm-tpm/utils/losses.py ed0355cbef5410f6 unverified MIT (permissive)
arXiv:Chen_MagicNet_Semi-Supervised_Multi-Organ_Segmentation_via_Magic-Cube_Partition_and_Recovery_CVPR_2023_paper DeepMed-Lab-ECNU/MagicNet/code/utils/losses.py 3075d27cf309faa5 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".

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