Home › Code › weight_init

weight_init

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

weight_init appears in the code Syntology harvested for 73 papers, as 26 distinct code bodies found in 73 places (a place is one code body under one paper). At least one of them ran in 50 of the papers; 0 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 weight_init 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 3 of the 26 distinct code bodies named weight_init; 23 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
2ran · fixture could not drive it
0ran
23unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 37 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 22 papers added by Syntology; 2 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
V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control added by Syntology 2026-08 (from id) Aladoro/Stabilizing-Off-Policy-RL/analysis_modules.py 8f4a0c10af4d7c48 unverified MIT (permissive)
KLIP: localized distribution shift detection via KL-divergence with diffusion priors in Inverse Problems added by Syntology 2026-05 (from id) voilalab/KLIP/CT/training/networks.py d41a4250066bce93 ran · fixture could not drive it no licence file found · pointer only
Bridging Domain Gaps with Target-Aligned Generation for Offline Reinforcement Learning added by Syntology 2026-05 (from id) BattleWen/IGDF/algorithms/igdf/contrastiveoi.py cdb5ee1c46cc51d7 unverified no licence file found · pointer only
Bayesian Rain Field Reconstruction using Commercial Microwave Links and Diffusion Model Priors added by Syntology 2026-05 (from id) Badr-MOUFAD/rainfield-diffusion-models/training/_network.py d41a4250066bce93 ran · fixture could not drive it no licence file found · pointer only
Breaking the Computational Barrier: Provably Efficient Actor-Critic for Low-Rank MDPs added by Syntology 2026-05 (from id) shelowize/lvrep-rl/agent/ctrlsac/ctrlsac_agent.py c802a836c9dc2e07 unverified no licence file found · pointer only
Elucidating the SNR-t Bias of Diffusion Probabilistic Models added by Syntology 2026-04 (from id) AMAP-ML/DCW/training/networks.py d41a4250066bce93 ran · fixture could not drive it no licence file found · pointer only
OFA-Diffusion Compression: Compressing Diffusion Model in One-Shot Manner added by Syntology 2026-04 (from id) atrijhy/OFA-Diffusion_Compression/edm/networks_ofa.py d41a4250066bce93 ran · fixture could not drive it no licence file found · pointer only
U-Cast: A Surprisingly Simple and Efficient Frontier Probabilistic AI Weather Forecaster added by Syntology 2026-04 (from id) Rose-STL-Lab/u-cast/src/models/networks_edm.py d41a4250066bce93 ran · fixture could not drive it Apache-2.0 (permissive)
SAGE: Subsurface AI-driven Geostatistical Extraction with proxy posterior added by Syntology 2026-04 (from id) slimgroup/SAGE/training/networks.py d41a4250066bce93 ran · fixture could not drive it no licence file found · pointer only
Joint Geometric and Trajectory Consistency Learning for One-Step Real-World Super-Resolution added by Syntology 2026-02 (from id) Blazedengcy/GTASR/basicsr/archs/edm_unet_arch.py d41a4250066bce93 ran · fixture could not drive it MIT (permissive)
Physics-Informed Diffusion Models in Spectral Space added by Syntology 2026-02 (from id) deeplearningmethods/PISD/training/networks.py d41a4250066bce93 ran · fixture could not drive it MIT (permissive)
Stabilizing Physics-Informed Consistency Models via Structure-Preserving Training added by Syntology 2026-02 (from id) twMisc/sCM-PINN/darcy/networks.py d41a4250066bce93 ran · fixture could not drive it MIT (permissive)
The Surprising Difficulty of Search in Model-Based Reinforcement Learning added by Syntology 2026-01 (from id) facebookresearch/MRSQ/MRSQ/MRSQ.py 575b4a52d71bbed3 unverified licence not identified · pointer only
Towards Syn-to-Real IQA: A Novel Perspective on Reshaping Synthetic Data Distributions added by Syntology 2026-01 (from id) Li-aobo/SynDR-IQA/BaseIQASolver.py 8d5502292190f44a unverified no licence file found · pointer only
How I Met Your Bias: Investigating Bias Amplification in Diffusion Models added by Syntology 2025-12 (from id) NVlabs/edm/training/networks.py d41a4250066bce93 ran · fixture could not drive it no licence file found · pointer only
DAISI: Data Assimilation with Inverse Sampling using Stochastic Interpolants added by Syntology 2025-12 (from id) Erik-Wikingsson/DAISI/assimilation/methods/daisi.py 18899a598247d1a8 ran · fixture could not drive it no licence file found · pointer only
A Probabilistic U-Net Approach to Downscaling Climate Simulations added by Syntology 2025-11 (from id) MaryamAlipourH/prob-unet-climate-downscaling/src/baseline/deterministic_unet.py d41a4250066bce93 ran · fixture could not drive it no licence file found · pointer only
Letting Trajectories Spread: Quality-Preserving Control for Diverse Flow Matching added by Syntology 2025-10 (from id) gcorso/particle-guidance/stable_diffusion/training/networks.py d41a4250066bce93 ran · fixture could not drive it no licence file found · pointer only
A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking added by Syntology 2025-10 (from id) azencot-group/ImagenI2R/models/networks.py d41a4250066bce93 ran · fixture could not drive it no licence file found · pointer only
CMT: Mid-Training for Efficient Learning of Consistency, Mean Flow, and Flow Map Models added by Syntology 2025-09 (from id) sony/cmt/training/networks.py d41a4250066bce93 ran · fixture could not drive it MIT (permissive)
PIRF: Physics-Informed Reward Fine-Tuning for Diffusion Models added by Syntology 2025-09 (from id) mingze-yuan/PIRF/training/networks.py d41a4250066bce93 ran · fixture could not drive it MIT (permissive)
HazeFlow: Revisit Haze Physical Model as ODE and Non-Homogeneous Haze Generation for Real-World Dehazing added by Syntology 2025-09 (from id) cloor/HazeFlow/models/edm_networks.py d41a4250066bce93 ran · fixture could not drive it MIT (permissive)
arXiv:2507.10072 2025-07 (from id) kunzhan/wpp/EDM-DWT-MM/training/networks.py d41a4250066bce93 ran · fixture could not drive it no licence file found · pointer only
Revisiting Diffusion Models: From Generative Pre-training to One-Step Generation 11 Jun 2025 Zyriix/GDD/training/networks.py d41a4250066bce93 ran · fixture could not drive it MIT (permissive)
Unified Continuous Generative Models 12 May 2025 LINs-Lab/UCGM/networks/unetplus.py d41a4250066bce93 ran · fixture could not drive it Apache-2.0 (permissive)
Training Consistency Models with Variational Noise Coupling 25 Feb 2025 sony/vct/networks/edm_networks.py d41a4250066bce93 ran · fixture could not drive it MIT (permissive)
Flow Q-Learning 4 Feb 2025 MohammadrezaNakhaei/FQL/fql.py 79f09007f6cc0351 unverified no licence file found · pointer only
Latent Action Learning Requires Supervision in the Presence of Distractors 1 Feb 2025 dunnolab/laom/src/nn.py 92b3b815b957a079 unverified Apache-2.0 (permissive)
Memorization and Regularization in Generative Diffusion Models 27 Jan 2025 baptistar/DiffusionModelDynamics/RectangleImages/training/networks.py d41a4250066bce93 ran · fixture could not drive it MIT (permissive)
Boosting Alignment for Post-Unlearning Text-to-Image Generative Models 9 Dec 2024 reds-lab/restricted_gradient_diversity_unlearning/CIFAR/training/networks.py d41a4250066bce93 ran · fixture could not drive it no licence file found · pointer only
Physics Informed Distillation for Diffusion Models 13 Nov 2024 pantheon5100/pid_diffusion/cm/network.py d41a4250066bce93 ran · fixture could not drive it MIT (permissive)
Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure 31 Oct 2024 Morefre/Understanding-Generalizability-of-Diffusion-Models-Requires-Rethinking-the-Hidden-Gaussian-Structure/training/networks.py d41a4250066bce93 ran · fixture could not drive it no licence file found · pointer only
Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series 25 Oct 2024 azencot-group/ImagenTime/models/networks.py d41a4250066bce93 ran · fixture could not drive it no licence file found · pointer only
SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow 17 Jul 2024 yuanzhi-zhu/SlimFlow/models/edm_networks.py d41a4250066bce93 ran · fixture could not drive it no licence file found · pointer only
Constrained Intrinsic Motivation for Reinforcement Learning 12 Jul 2024 x-zheng16/CIM/src/policy/cim.py 7219bee4c76bb49a unverified no licence file found · pointer only
DiffusionPDE: Generative PDE-Solving Under Partial Observation 25 Jun 2024 jhhuangchloe/DiffusionPDE/training/networks.py d41a4250066bce93 ran · fixture could not drive it no licence file found · pointer only
Diffusion Policies creating a Trust Region for Offline Reinforcement Learning 30 May 2024 tianyucodings/diffusion_trusted_q_learning/agents/dtql.py e16f745c22233bb1 unverified no licence file found · pointer only
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning 27 May 2024 aailab-kaist/DBAE/ddbm/edm_unet.py d41a4250066bce93 ran · fixture could not drive it Apache-2.0 (permissive)
DiffuBox: Refining 3D Object Detection with Point Diffusion 25 May 2024 cxy1997/DiffuBox/training/networks.py d41a4250066bce93 ran · fixture could not drive it no licence file found · pointer only
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher 23 May 2024 sony/pagoda/cm/networks.py d41a4250066bce93 ran · fixture could not drive it MIT (permissive)
Generative Diffusion-based Downscaling for Climate 27 Apr 2024 robbiewatt1/climatediffuse/src/Network.py d41a4250066bce93 ran · fixture could not drive it no licence file found · pointer only
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline 1 Apr 2024 AnasEmad11/CLAP/src/config/models.py b66ae79e2925402b unverified GPL-2.0 (copyleft) · pointer only
A Diffusion-Based Generative Equalizer for Music Restoration 27 Mar 2024 eloimoliner/babe2/networks/cqtdiff.py d41a4250066bce93 ran · fixture could not drive it MIT (permissive)
Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion Model 26 Mar 2024 dongrunmin/RefDiff/training/networks_cond_v14.py d41a4250066bce93 ran · fixture could not drive it no licence file found · pointer only
Generalized Consistency Trajectory Models for Image Manipulation 19 Mar 2024 1202kbs/gctm/networks.py d41a4250066bce93 ran · fixture could not drive it MIT (permissive)
Training Unbiased Diffusion Models From Biased Dataset 2 Mar 2024 alsdudrla10/TIW-DSM/training/networks.py d41a4250066bce93 ran · fixture could not drive it no licence file found · pointer only
Scaling Riemannian Diffusion Models 30 Oct 2023 louaaron/Scaling-Riemannian-Diffusion/contrastive_ood/model.py 18899a598247d1a8 ran · fixture could not drive it no licence file found · pointer only
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization 30 Oct 2023 premiertaco/premier-taco/premier_taco.py 28ac15d6aea86e0e unverified no licence file found · pointer only
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling 10 Oct 2023 JegZheng/LEGODiffusion/training/networks.py d41a4250066bce93 ran · fixture could not drive it MIT (permissive)
Observation-Guided Diffusion Probabilistic Models 6 Oct 2023 junoh-kang/ogdm_edm/training/networks.py d41a4250066bce93 ran · fixture could not drive it no licence file found · pointer only
On Memorization in Diffusion Models 4 Oct 2023 sail-sg/DiffMemorize/training/networks.py d41a4250066bce93 ran · fixture could not drive it MIT (permissive)
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion 1 Oct 2023 Kim-Dongjun/ctm-cifar10/cm/networks.py d41a4250066bce93 ran · fixture could not drive it MIT (permissive)
Beta Diffusion 14 Sep 2023 mingyuanzhou/Beta-Diffusion/image_experiment/training/networks.py d41a4250066bce93 ran · fixture could not drive it MIT (permissive)
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis 4 Sep 2023 THUDM/RelayDiffusion/training/networks.py d41a4250066bce93 ran · fixture could not drive it Apache-2.0 (permissive)
Elucidating the Exposure Bias in Diffusion Models 29 Aug 2023 forever208/edm-es/training/networks.py d41a4250066bce93 ran · fixture could not drive it no licence file found · pointer only
SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation 4 Jul 2023 qiyan98/swingnn/model/unet/unet_edm.py d41a4250066bce93 ran · fixture could not drive it MIT (permissive)
Fast Diffusion Model 12 Jun 2023 sail-sg/fdm/training/networks.py d41a4250066bce93 ran · fixture could not drive it Apache-2.0 (permissive)
UDPM: Upsampling Diffusion Probabilistic Models 25 May 2023 shadyabh/udpm/EDM_nets.py d41a4250066bce93 ran · fixture could not drive it MIT (permissive)
Diffusion-Based Audio Inpainting 24 May 2023 eloimoliner/audio-inpainting-diffusion/networks/unet_cqt_oct_with_projattention_adaLN_2.py d41a4250066bce93 ran · fixture could not drive it MIT (permissive)
Identity-Preserving Talking Face Generation with Landmark and Appearance Priors 15 May 2023 Weizhi-Zhong/IP_LAP/models/landmark_generator.py 4d77c95665872e53 unverified Apache-2.0 (permissive)
Fully Bayesian VIB-DeepSSM 9 May 2023 jadie1/bvib-deepssm/trainer.py f339ab5634d8fce6 ran · our draft was wrong no licence file found · pointer only
Behavior Contrastive Learning for Unsupervised Skill Discovery 8 May 2023 rooshy-yang/becl/agent/becl.py 2d7fab6117dbc6a8 unverified MIT (permissive)
A Recipe for Watermarking Diffusion Models 17 Mar 2023 yunqing-me/watermarkdm/edm/training/networks.py d41a4250066bce93 ran · fixture could not drive it MIT (permissive)
Mastering Diverse Domains through World Models 10 Jan 2023 nm512/dreamerv3-torch/dreamer.py 9aaedf6b6e636015 unverified MIT (permissive)
On Many-Actions Policy Gradient 24 Oct 2022 papersubmissions-anon/daa-ppo/ppo_utils.py 4a63e89d67417081 unverified MIT (permissive)
When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning 19 Oct 2022 tajwarfahim/proactive_interventions/paint/agents.py ae2c2750948ff392 unverified no licence file found · pointer only
Influencing Long-Term Behavior in Multiagent Reinforcement Learning 7 Mar 2022 dkkim93/further/algorithm/further/agent.py cb1c431c7a635b3f unverified MIT (permissive)
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds 26 Mar 2021 CVMI-Lab/PAConv/scene_seg/model/pointnet2/paconv.py 0db082ffd68d9baa unverified Apache-2.0 (permissive)
Self-Supervised Policy Adaptation during Deployment 8 Jul 2020 nicklashansen/policy-adaptation-during-deployment/src/agent/agent.py 48b3228cfe8d98ae unverified no licence file found · pointer only
Global Context-Aware Progressive Aggregation Network for Salient Object Detection 2 Mar 2020 JosephChenHub/GCPANet/net.py b015328b53e28cc0 unverified no licence file found · pointer only
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor 4 Jan 2018 SaminYeasar/off_policy_ac/SAC/SAC.py 68c08ef9d5d473a7 unverified no licence file found · pointer only
RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning 9 Nov 2016 aliengirlliv/teachable/algos/ppo.py 6a3b5d4c89f6aec7 unverified MIT (permissive)
arXiv:openreview_AAWlum38oE 1202kbs/AYT/src/ayt/unets.py 1d92d2499830e3ea 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