NeurIPS 2026 Workshop on Geometric Deep Learning and Optimal Transport Opens Call for Papers
ninamiolane · x · 2026-07-22
NeurIPS 2026 will host an in-person workshop in Paris, France, titled "Bridging Optimal Transport, Learning and Structured Data: Toward Geometric Distributional Learning."
The workshop aims to bring together researchers from geometric deep learning, computational optimal transport, generative modeling, and representation learning to discuss how geometric and distributional principles can inspire new architectures, algorithms, and applications for structured data. The call for papers is now open, accepting either 4-page short papers or 8-page long papers using the NeurIPS template. Submissions are non-archival, allowing concurrent submissions, and ongoing or unpublished work is highly encouraged. The submission deadline is August 29, 2026.
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