Call for Papers | SPIGM @ NeurIPS2025

Openreview venue

Our openreview website for submission is this.

We invite submissions related (but not limited) to the following topics:

Inference and generating methods for graphs, time series, text, video, and other structured modalities
Unsupervised representation learning of high dimensional structured data
Scaling and accelerating inference and generative models on structured data
Uncertainty quantification in AI systems
Applications and practical implementations of existing methods to areas in science
Empirical analysis comparing different architectures for a given data modality and application

Formatting Instructions: We solicit 4-to-8-page workshop papers (with unlimited references and appendix) following NeurIPS 2025 main conference paper template. The maximum size of submissions is 50 MB. While your submission can contain a supplement or appendix, please note that reviewers are not obliged to review supplementary material.
Reviews: The review process will be double-blind. All submissions must be anonymized and the leakage of any identification information is prohibited.
What can be sumitted: Following the convention of most workshops, we welcome submissions of papers already published in journals or presented at non–machine-learning conferences or workshops. If a paper has appeared in a machine-learning venue—such as ICLR, NeurIPS, ICML, CVPR, AISTATS, or similar—we will consider it only if it includes substantial extensions or new results. We also recognize that, due to unforeseen circumstances (e.g., visa), some authors have published papers but did not have the opportunity to present them; accordingly, this year we make an exception to allow those papers to submit to our workshop as well.