Notice: This website is continuously updated as new conference proceedings and journal volumes are published. Consequently, the figures presented here may differ from those reported in our publications.
A brief overview of our methodology is provided on the Methods page, along with references to publications documenting our approach and links to the code and data used in each study.
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.
On the Limitations of First-Order Approximation in GAN Dynamics
Authors: Jerry Li, Aleksander Madry, John Peebles, Ludwig Schmidt
ICML 2018 | Venue PDF | LLM Run Details | Input Tokens: 14,955 Total number of tokens sent to the LLM as input for this paper's analysis. | Output Tokens: 4,221 Total number of tokens produced by the LLM (including reasoning/thinking tokens) for this paper's analysis.
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We ๏ฌrst show experimentally that standard gradient dynamics of the GMM-GAN often fail to converge due to mode collapse or oscillatory behavior. ... In contrast, we then show that GAN dynamics with an optimal discriminator do converge, both experimentally and provably. Section 5 is titled "Experiments". |
| Researcher Affiliation | Academia | Jerry Li 1 Aleksander M adry 1 John Peebles 1 Ludwig Schmidt 1 1MIT. Correspondence to: Jerry Li <EMAIL>. |
| Pseudocode | No | The paper does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide concrete access to source code for the methodology described. |
| Open Datasets | No | The paper uses a synthetic model (GMM-GAN) and does not specify or provide access information for any publicly available or open dataset. |
| Dataset Splits | No | The paper does not provide specific dataset split information (exact percentages, sample counts, citations to predefined splits, or detailed splitting methodology). |
| Hardware Specification | No | The paper does not provide specific hardware details used for running its experiments. |
| Software Dependencies | No | The paper does not provide specific ancillary software details (e.g., library or solver names with version numbers) needed to replicate the experiment. |
| Experiment Setup | Yes | We set ยต = ( 0.5, 0.5) as in Figure 1. ... ran the ๏ฌrst order dynamics for 3000 iterations, with constant stepsize 0.3. We then repeated this 120 times for each grid point... |