Research map / Point clouds / Point cloud classification
Pooling by Sliced-Wasserstein Embedding
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Fourier Sliced-Wasserstein Embedding for Multisets and Measures (ICLR 2025 · similarity 0.88)
- FSPool: Learning Set Representations with Featurewise Sort Pooling (ICLR 2020 · similarity 0.87)
- Learning Wasserstein Embeddings (ICLR 2018 · similarity 0.86)
- Wasserstein Embedding for Graph Learning (ICLR 2021 · similarity 0.86)
- Geometry-Aware Edge Pooling for Graph Neural Networks (NeurIPS 2025 · similarity 0.85)
- Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem (NeurIPS 2024 · similarity 0.85)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
