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2026-08 (from id) |
Aladoro/Stabilizing-Off-Policy-RL/analysis_modules.py 8f4a0c10af4d7c48 |
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2026-05 (from id) |
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2026-05 (from id) |
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2026-05 (from id) |
Badr-MOUFAD/rainfield-diffusion-models/training/_network.py d41a4250066bce93 |
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| Breaking the Computational Barrier: Provably Efficient Actor-Critic for Low-Rank MDPs added by Syntology |
2026-05 (from id) |
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| Elucidating the SNR-t Bias of Diffusion Probabilistic Models added by Syntology |
2026-04 (from id) |
AMAP-ML/DCW/training/networks.py d41a4250066bce93 |
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2026-04 (from id) |
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| U-Cast: A Surprisingly Simple and Efficient Frontier Probabilistic AI Weather Forecaster added by Syntology |
2026-04 (from id) |
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Apache-2.0 (permissive) |
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2026-04 (from id) |
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2026-02 (from id) |
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MIT (permissive) |
| Physics-Informed Diffusion Models in Spectral Space added by Syntology |
2026-02 (from id) |
deeplearningmethods/PISD/training/networks.py d41a4250066bce93 |
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MIT (permissive) |
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2026-02 (from id) |
twMisc/sCM-PINN/darcy/networks.py d41a4250066bce93 |
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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 |
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2026-01 (from id) |
Li-aobo/SynDR-IQA/BaseIQASolver.py 8d5502292190f44a |
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| How I Met Your Bias: Investigating Bias Amplification in Diffusion Models added by Syntology |
2025-12 (from id) |
NVlabs/edm/training/networks.py d41a4250066bce93 |
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2025-12 (from id) |
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| A Probabilistic U-Net Approach to Downscaling Climate Simulations added by Syntology |
2025-11 (from id) |
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| Letting Trajectories Spread: Quality-Preserving Control for Diverse Flow Matching added by Syntology |
2025-10 (from id) |
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2025-10 (from id) |
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2025-09 (from id) |
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MIT (permissive) |
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2025-09 (from id) |
mingze-yuan/PIRF/training/networks.py d41a4250066bce93 |
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MIT (permissive) |
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2025-09 (from id) |
cloor/HazeFlow/models/edm_networks.py d41a4250066bce93 |
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MIT (permissive) |
| arXiv:2507.10072 |
2025-07 (from id) |
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| Revisiting Diffusion Models: From Generative Pre-training to One-Step Generation |
11 Jun 2025 |
Zyriix/GDD/training/networks.py d41a4250066bce93 |
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MIT (permissive) |
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12 May 2025 |
LINs-Lab/UCGM/networks/unetplus.py d41a4250066bce93 |
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Apache-2.0 (permissive) |
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25 Feb 2025 |
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4 Feb 2025 |
MohammadrezaNakhaei/FQL/fql.py 79f09007f6cc0351 |
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1 Feb 2025 |
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27 Jan 2025 |
baptistar/DiffusionModelDynamics/RectangleImages/training/networks.py d41a4250066bce93 |
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| Boosting Alignment for Post-Unlearning Text-to-Image Generative Models |
9 Dec 2024 |
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| Physics Informed Distillation for Diffusion Models |
13 Nov 2024 |
pantheon5100/pid_diffusion/cm/network.py d41a4250066bce93 |
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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 |
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25 Oct 2024 |
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17 Jul 2024 |
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12 Jul 2024 |
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25 Jun 2024 |
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30 May 2024 |
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27 May 2024 |
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Apache-2.0 (permissive) |
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25 May 2024 |
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| PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher |
23 May 2024 |
sony/pagoda/cm/networks.py d41a4250066bce93 |
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| Generative Diffusion-based Downscaling for Climate |
27 Apr 2024 |
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1 Apr 2024 |
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27 Mar 2024 |
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| 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 |
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19 Mar 2024 |
1202kbs/gctm/networks.py d41a4250066bce93 |
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MIT (permissive) |
| Training Unbiased Diffusion Models From Biased Dataset |
2 Mar 2024 |
alsdudrla10/TIW-DSM/training/networks.py d41a4250066bce93 |
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| Scaling Riemannian Diffusion Models |
30 Oct 2023 |
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30 Oct 2023 |
premiertaco/premier-taco/premier_taco.py 28ac15d6aea86e0e |
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| Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling |
10 Oct 2023 |
JegZheng/LEGODiffusion/training/networks.py d41a4250066bce93 |
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MIT (permissive) |
| Observation-Guided Diffusion Probabilistic Models |
6 Oct 2023 |
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| On Memorization in Diffusion Models |
4 Oct 2023 |
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MIT (permissive) |
| Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion |
1 Oct 2023 |
Kim-Dongjun/ctm-cifar10/cm/networks.py d41a4250066bce93 |
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MIT (permissive) |
| Beta Diffusion |
14 Sep 2023 |
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| Relay Diffusion: Unifying diffusion process across resolutions for image synthesis |
4 Sep 2023 |
THUDM/RelayDiffusion/training/networks.py d41a4250066bce93 |
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Apache-2.0 (permissive) |
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29 Aug 2023 |
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4 Jul 2023 |
qiyan98/swingnn/model/unet/unet_edm.py d41a4250066bce93 |
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MIT (permissive) |
| Fast Diffusion Model |
12 Jun 2023 |
sail-sg/fdm/training/networks.py d41a4250066bce93 |
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25 May 2023 |
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MIT (permissive) |
| Diffusion-Based Audio Inpainting |
24 May 2023 |
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| Identity-Preserving Talking Face Generation with Landmark and Appearance Priors |
15 May 2023 |
Weizhi-Zhong/IP_LAP/models/landmark_generator.py 4d77c95665872e53 |
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Apache-2.0 (permissive) |
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9 May 2023 |
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8 May 2023 |
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MIT (permissive) |
| A Recipe for Watermarking Diffusion Models |
17 Mar 2023 |
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MIT (permissive) |
| Mastering Diverse Domains through World Models |
10 Jan 2023 |
nm512/dreamerv3-torch/dreamer.py 9aaedf6b6e636015 |
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MIT (permissive) |
| On Many-Actions Policy Gradient |
24 Oct 2022 |
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MIT (permissive) |
| When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning |
19 Oct 2022 |
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| Influencing Long-Term Behavior in Multiagent Reinforcement Learning |
7 Mar 2022 |
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MIT (permissive) |
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26 Mar 2021 |
CVMI-Lab/PAConv/scene_seg/model/pointnet2/paconv.py 0db082ffd68d9baa |
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Apache-2.0 (permissive) |
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8 Jul 2020 |
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MIT (permissive) |
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MIT (permissive) |