# LG AI Research — [ICML2026] Solving the Problem of Data Scarcity Using Riemannian Geometry

- Company: LG AI Research (lgresearch.ai)
- Announced: 2026-10-13
- Category: research-paper
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://www.lgresearch.ai/blog/view?seq=715
- Record: https://forck.live/items/20274-icml2026-solving-the-problem-of-data-scarcity-using-riemannian-geometry
- Subject: EXAONE

LG AI Research presented GEAR and Sim-GEAR at ICML 2026, two research projects that address data scarcity in materials science by using Riemannian geometry to improve transfer learning between physical property prediction models. The method calculates curvature in the latent spaces of a data-rich source model and a data-poor target model, training them so their geometric structures become similar.

## Evidence

Verbatim from https://www.lgresearch.ai/blog/view?seq=715:

> LG AI Research has developed a new transfer learning method that uses Riemannian geometry to connect the latent spaces of different physical property prediction models.

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Record: https://forck.live/items/20274-icml2026-solving-the-problem-of-data-scarcity-using-riemannian-geometry
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