[CfP] NeurIPS 2026 Workshop: Geometric Distributional Deep Learning Workshop

[kimian...@gmail.com]

We are excited to announce the NeurIPS 2026 Workshop Bridging Optimal Transport, Learning and Structured Data: Toward Geometric Distributional Learning, taking place in person on December 12 or 13 in Paris, France.

The goal of the workshop is to bring together researchers from geometric deep learning, computational optimal transport, generative modeling, and representation learning to discuss how geometric and distributional principles can inform new architectures, algorithms and applications for structured data.

Call for Papers:

• We warmly invite submissions of either short papers (4 pages) or long papers (8-9 pages) with the NeurIPS template on OpenReview
• Submission deadline: August 29, 2026 (AoE)
• Accepted contributions will be presented during poster sessions
• A selected number of submissions will also be invited for 15-minute contributed talks
• Submissions are non-archival and may be under review or concurrently submitted elsewhere. We especially encourage ongoing and unpublished work.

Useful links:

• Workshop details & submission info: https://gddl-neurips-2026.github.io
• NeurIPS template: https://neurips.cc/Conferences/2026/CallForPapers
• Submit via OpenReview: https://openreview.net/group?id=NeurIPS.cc/2026/Workshop/GDDL
• Contact: gddl.workshop.neurips2026@gmail.com
• Volunteer to be part of the program committee: https://docs.google.com/forms/d/e/1FAIpQLSf-xQ5sQYTElu1S5HfF30_XYQCEGqF49OQ2kIMgzlcaEYMYeA/viewform?usp=publish-editor

[Kimia Nadjahi]

We are excited to announce the NeurIPS 2026 Workshop Bridging Optimal Transport, Learning and Structured Data: Toward Geometric Distributional Learning, taking place in person on December 12 or 13 in Paris, France.

The goal of the workshop is to bring together researchers from geometric deep learning, computational optimal transport, generative modeling, and representation learning to discuss how geometric and distributional principles can inform new architectures, algorithms and applications for structured data.

Call for Papers:

• We warmly invite submissions of either short papers (4 pages) or long papers (8-9 pages) with the NeurIPS template on OpenReview
• Submission deadline: August 29, 2026 (AoE)
• Accepted contributions will be presented during poster sessions
• A selected number of submissions will also be invited for 15-minute contributed talks
• Submissions are non-archival and may be under review or concurrently submitted elsewhere. We especially encourage ongoing and unpublished work.

Useful links:

• Workshop details & submission info: https://gddl-neurips-2026.github.io
• NeurIPS template: https://neurips.cc/Conferences/2026/CallForPapers
• Submit via OpenReview: https://openreview.net/group?id=NeurIPS.cc/2026/Workshop/GDDL

• Contact: gddl.worksho...@gmail.com