Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Boosting Diffusion Models with an Adaptive Momentum Sampler
Authors: Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu
IJCAI 2024 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Our experimental results on multiple benchmarks demonstrate that our proposed reverse sampler yields remarkable improvements over different baselines. |
| Researcher Affiliation | Academia | Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu School of Computer Science, Faculty of Engineering, The University of Sydney, Australia EMAIL, EMAIL, EMAIL, EMAIL |
| Pseudocode | Yes | Algorithm 1 illustrates the adaptive momentum sampler process. |
| Open Source Code | Yes | The code is publicly available at github.com/Shiny Gua/DPMs-with-Adam |
| Open Datasets | Yes | We utilize CIFAR10 [Krizhevsky et al., 2009] (32 × 32), Celeb A [Liu et al., 2018] (64 × 64), Image Net [Deng et al., 2009] (64 × 64), LSUN [Yu et al., 2015] (256 × 256) and Celeb A-HQ [Karras et al., 2017] (256 × 256) in experiments. |
| Dataset Splits | No | The paper states the datasets used and sampling steps, but does not specify train/validation/test splits, absolute sample counts for splits, or cross-validation setup for reproducing the data partitioning. |
| Hardware Specification | Yes | Our experiments run on one node with 8 NVIDIA A100 GPUs. |
| Software Dependencies | No | The paper discusses various models and frameworks (DDIM, DDPM, Analytic-DPM, LDM) and states that pre-trained models are used, but it does not provide specific version numbers for software dependencies such as programming languages, libraries, or frameworks. |
| Experiment Setup | Yes | The sampling steps are set to 4000 on Image Net and 1000 on other datasets. For the Eq. 5, we select three η values... All the hyperparameters for the sampling process are presented in Appendix. Also, Table 4 investigates the effects of b and c hyperparameters. |