Research map / Learning theory and algorithms / Prediction and decision losses
Magnitude Distance: A Geometric Measure of Dataset Similarity
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
- Metric Space Magnitude for Evaluating the Diversity of Latent Representations (NeurIPS 2024 · similarity 0.91)
- Approximating Metric Magnitude of Point Sets (AAAI 2025 · similarity 0.88)
- Volume-Aware Distance for Robust Similarity Learning (ICML 2025 · similarity 0.87)
- Estimating Shape Distances on Neural Representations with Limited Samples (ICLR 2024 · similarity 0.85)
- Stabilizing Sample Similarity in Representation via Mitigating Random Consistency (ICML 2025 · similarity 0.85)
- Distance Marching for Generative Modeling (NeurIPS 2026 · 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.